WO2017162127A1

WO2017162127A1 - A system for analysing activities in a social network and interface to display such

Info

Publication number: WO2017162127A1
Application number: PCT/CN2017/077424
Authority: WO
Inventors: Juwan Ju Hoon LEE
Original assignee: Nexchange (Hong Kong) Limited
Priority date: 2016-03-24
Filing date: 2017-03-21
Publication date: 2017-09-28
Also published as: HK1221118A2

Abstract

A system and method for analysing activities in an online social network comprising a computing system comprising a processor unit and memory unit, the computing system further comprising a transaction history module configured to record a transaction history associated with one or more users, the transaction history module further configured to identify one or more activities from the transaction history of a first user, a scoring module configured to assign one or more scores to each activity within the transaction history, based on a predetermined scoring criteria, an aggregation module configured to aggregate the scores associated with each activity for the first user, a graphical interface generator configured to generate a graphical interface to present the aggregated scores for each activity, the graphical interface pictorially representing comparative aggregated scores.

Description

A system for analysing activities in a social network and interface to display such

Technical Field

The present disclosure relates to a system for analysing activities in an online social network, in particular for a financial social network or a professional social network. The present disclosure further relates a computer implemented interface for displaying activities performed by a user of a social network, the interface providing a pictorial representation of a user’s activities.

Background

One of the most significant developments on the Internet in recent years has been the establishment and proliferation of a number of online social networks such as Facebook, IBM connections, ResearchGate, Edmodo and Linkedin. Several users presently access such social networks to connect with friends and acquaintances and share personal and professional information.

It is desirable to analyse activities and actions performed by the users of a social network in order to determine usage and other parameters. It is often challenging to analyse data and more challenging to display data to the users of the social network.

Summary of the Present Invention

In accordance with a first aspect, the present disclosure relates to a system for analysing activities in an online social network comprising:

a computing system comprising a processor unit and memory unit, the computing system further comprising:

a transaction history module configured to record a transaction history associated with one or more users,

the transaction history module further configured to identify one or more activities from the transaction history of a first user,

a scoring module configured to assign one or more scores to each activity within the transaction history, based on a predetermined scoring criteria,

an aggregation module configured to aggregate the scores associated with each activity for the first user,

a graphical interface generator configured to generate a graphical interface to present the aggregated scores for each activity, the graphical interface pictorially representing comparative aggregated scores.

In an embodiment the graphical interface is configured to pictorially represent aggregated scores of two or more activities compared to each other such that a user can visually perceive which activity scored higher as compared to the other activities.

In an embodiment the predetermined criteria comprises assigning a score for an activity based on a comparison the first user as compared to one or more other users of the social network, the score being representative of the first user’s performance of the activity as compared to the performance by one or more other users of the social network.

In an embodiment the computing system is configured to compare an activity performed by a first user with an activity performed by other users of the social network to generate a score, as part of the predetermined criteria.

In an embodiment like activities of a first user are compared with like activities performed by other users of the social network.

In an embodiment the score is a dynamic value that ranges between a maximum value and a minimum value, the score assigned to an activity of a first user is based on the comparison of the activity performed by the first user to the activity performed by other users.

In an embodiment the transaction history module is configured to record each occurrence of an activity and the system further configured to record a date and time associated with the occurrence of the activity, and the computing system is configured to identify activities performed in different time intervals such as days, weeks, months, or years.

In an embodiment the scoring module is configured to assign a score to each recorded activity following the recording of the activity by the transaction history module.

In an embodiment the graphical interface comprises a first heat map, the first heat map is configured to display aggregated scores for each activity.

In an embodiment the first heat map is configured to display the aggregated scores of the activities as different colours, wherein each activity is represented as a different colour.

In an embodiment the first heat map is configured to display the aggregated score of the activities as different tones of the same colour.

In an embodiment the higher aggregated score for an activity is represented as a brighter colour, and a lower aggregated score is represented as a lighter colour.

In an embodiment the higher aggregated score for an activity is represented as a darker tone, and a lower aggregated score is represented as a lighter tone, of a single colour.

In an embodiment the aggregated scores can be represented as four tones ranging from lightest, light, dark, and darkest.

In an embodiment the heat map is configured such that the lightest tone representing aggregated scores in the bottom 25％, the light tone representing aggregated score within 26％‐50％, the dark tone representing aggregated score within 51％to 75％and the darkest tone representing an aggregated score of greater than 76％.

In an embodiment the heat map is configured to display the aggregated scores of each activity in relation to time periods, the heat map is arranged as a matrix, the matrix comprising a plurality of rows and columns, wherein each row of the matrix relates to a separate activity and each column relates to a time interval.

In an embodiment the heat map is configured to display aggregated scores for a specific time interval, each aggregated score being represented by a cell of the matrix, wherein a cell is a junction of a row and column.

In an embodiment each cell is coloured based as a separate colour to represent an aggregated score or each cell is coloured a tone of a single colour.

In an embodiment each activity comprises one or more sub activities, the sub activities together defining the activity.

In an embodiment each sub activity is identified from the transaction history by the transaction history module, the system is configured to assign one or more scores to each sub activity based on the predetermined criteria and the system further configured to aggregate the scores for each sub activity.

In an embodiment the graphical interface generator is configured to generate a sub heat map, the sub heat map configured to display the aggregated score of each sub activity on the graphical interface.

In an embodiment the sub heat map can be accessed from the first heat map by selecting an activity on the first heat map, the computing system configured to present a sub heat map when a specific activity is activated on the first heat map.

In an embodiment the aggregation module is configured to determine an aggregated score for an activity by summing individual scores for each activity within a time period and determining a weighted average of the individual scores.

In a second aspect, the present invention relates to a graphical interface for displaying activities performed by a user, the graphical interface comprising；

a plurality of cells arranged in a matrix,

each cell representing a score of an activity performed by the user on an online social network,

each cell being a distinct colour or a different tone of a single colour, based on a value of the score of an activity performed, the graphical interface configured to pictorially display the activities of a user on a social network.

In an embodiment the rows relate to one or more activities performed by a user and the columns relate to a time period when the user performs the one or more activities.

In an embodiment each cell is one or four tones based on the value of the score, the tones ranging from lightest, light, dark and darkest, wherein the lightest tone relates to a score within the lowest 25％, the light tone relating to a score within 26％and 50％, the dark tone relating to a score within 51％and 75％and the darkest tone relating to a score in greater than 76％.

In an embodiment the graphical interface comprises one or more sub interfaces that can be accessed by activating a specific cell in the matrix, the sub interfaces being in the form of a matrix, the sub interfaces displaying a score of one or more sub activities performed by a user.

In an embodiment graphical interface as described can be generated by the graphical interface generator of the first aspect, and the graphical interface can be used as part of the system as per any one or more of the previous statements.

In a third aspect, the present invention relates to a system for analysing activities in a social network, the system comprising:

a computing system comprising at least a processor and a memory device, the computing system further comprising

a graphical interface generator configured to generate a graphical interface to present the aggregated scores for each activity, the graphical interface pictorially representing comparative aggregated scores,

wherein the predetermined criteria comprises assigning a score for an activity based on a comparison the first user as compared to one or more other users of the social network, the score being representative of the first user’s performance of the activity as compared to the performance by one or more other users of the social network,

the computing system is configured to compare an activity performed by a first user with an activity performed by other users of the social network to generate a score, wherein like activities of a first user are compared with like activities performed by other users of the social network, as part of the predetermined criteria,

the transaction history module is configured to record each occurrence of an activity and the system further configured to record a date and time associated with the occurrence of the activity, and the computing system is configured to identify activities performed in different time intervals such as days, weeks, months, or years,

the aggregation module is configured to determine an aggregated score for an activity by summing individual scores for each activity within a time period and determining a weighted average of the individual scores.

the graphical interface comprises a first heat map, the first heat map is configured to display aggregated scores for each activity, the heat map is configured to display the aggregated score of the activities as different tones of the same colour, wherein a higher aggregated score for an activity is represented as a darker tone, and a lower aggregated score is represented as a lighter tone, of a single colour

the aggregated scores can be represented as four tones ranging from lightest, light, dark, and darkest,

the heat map is configured such that the lightest tone representing aggregated scores in the bottom 25％, the light tone representing aggregated score within 26％‐50％, the dark tone representing aggregated score within 51％to 75％and the darkest tone representing an aggregated score of greater than 76％,

the heat map is configured to display the aggregated scores of each activity in relation to time periods, the heat map is arranged as a matrix, the matrix comprising a plurality of rows and columns, wherein each row of the matrix relates to a separate activity and each column relates to a time interval, wherein the heat map is configured to display aggregated scores for a specific time interval, each aggregated score being represented by a cell of the matrix, wherein a cell is a junction of a row and column,

each activity comprises one or more sub activities, the sub activities together defining the activity, the transaction module is configured to identify each sub activity from the transaction history, the system is configured to assign one or more scores to each sub activity based on the predetermined criteria and the system further configured to aggregate the scores for each sub activity, and

the graphical interface generator is configured to generate a sub heat map, the sub heat map configured to display the aggregated score of each sub activity on the graphical interface, wherein the sub heat map can be accessed from the first heat map by selecting an activity on the first heat map, the computing system configured to present a sub heat map when a specific activity is activated on the first heat map.

The term “comprising” (and its grammatical variations) as used herein are used in the inclusive sense of “having” or “including” and not in the sense of “consisting only of” .

Brief Description of the Drawings

Notwithstanding any other forms which may fall within the scope of the present disclosure, at least one embodiment will now be described, by way of example only, with reference to the accompanying drawings in which:

Figure 1 shows a system for analysing activities in a social network；

Figure 2 shows a schematic view of the computing system used as part of the system for analysing activities in a social network；

Figure 3a shows an exemplary list of core activities that can be performed by a user；

Figure 3b shows an exemplary criteria for ascribing a numerical value to an activity；

Figure 3c shows an exemplary list of sub activities that define the core activity of career development；

Figure 3d shows an exemplary list of sub activities that define the core activity of networking；

Figure 4 shows a relationship table of numerical values and percentage weightings for sub activities used in determining a score for a core activity；

Figure 5 shows an embodiment of a graphical interface with a first heat map；

Figure 6 shows a relationship between a first heat map displaying core activities and sub heat maps displaying sub activities associated with a core activity； and

Figure 7 shows an embodiment of a sub heat map that displays the comparative performance in sub activities that are associated with the core activity of career development.

Detailed Description of the Preferred Embodiment

The present disclosure relates to a system for analysing activities in a social network, in particular a system for analysing activities performed by one or more users in an online computer implemented social network. The system is also configured to pictorially represent scores associated with the activities performed by a user on the social network on a graphical interface. The system comprises a computing system that is configured to analyse activities performed by users of a social networking system. The computing system comprises at least a processor unit and a memory unit, and the computing system further comprises a transaction history module configured to record a transaction history associated with one or more users, the transaction history module further configured to identify one or more activities from the transaction history of a first user, a scoring module configured to assign one or more scores to each activity within the transaction history, based on a predetermined scoring criteria, an aggregation module configured to aggregate the scores associated with each activity for the first user and a graphical interface generator configured to generate a graphical interface to pictorially represent the aggregated scores for each activity on the graphical interface. The graphical interface provides a user of the social network a visual indication of his or her performance of activities in comparison to time or in comparison to other users of the social network.

The system and graphical interface are advantageous because they analyse the performance of activities by a user in comparison to other users, or in comparison to the user’s own activities performed in the past and provide an easy to understand visual representation of the user’s performance of activities.

In a further embodiment the present disclosure relates to a system for analysing activities in a social network and pictorially or graphically presenting such information relating to activities, the system comprising: one or more computing devices each having at least one memory and at least one processor, the one or more computing devices configured to execute instructions stored in the at least one memory to cause the computing system to perform functions comprising: to record a transaction history associated with one or more users, identify one or more activities from the transaction history of a first user, assign one or more scores to each activity within the transaction history, based on a predetermined scoring criteria, aggregate the scores associated with each activity for the first user and present the aggregated scores for each activity on a graphical interface, the graphical interface pictorially representing comparative aggregated scores. The graphical interface provides a user of the social network a visual indication of his or her performance of activities in comparison to time or in comparison to other users of the social network.

Online social network as referred herein cover known social networking platforms that connect a plurality of users via a communication network such as the internet. The social networking platform connects one or more users devices and facilitates communication between users of the social network via user devices. The present disclosure is particularly relevant to financial social networks that facilitate communication and transfer of financial information. Financial social networks allow users of the network to perform finance related activities.

Figure 1 shows a system 100 for analysing activities in a social network. The system 100 comprises a computing system 110 that connected to and in communication with one or

more users

102, 104, 106, 108, via associated

user devices

112, 114, 116 and 118. The

user devices

112, 114, 116 and 118 are in electronic communication with the computing system 110 via a communication network 120 such as the internet. Some other examples of a communications network are wireless internet, WiFi, 3G, 4G, infrared, Bluetooth or any other suitable communications network. Preferably the communications network is one that allows several user devices to communicate with the computing system 110. The solid arrows in figure 1 represent the communications between the computing system 110 and the

user devices

112, 114, 116 and 118.

The

user devices

112, 114, 116, 118 are any suitable devices that are capable of processing and communicating electronic information. The user devices can be any suitable known devices. The

user devices

112, 114, 116, 118 preferably comprise at least a processing unit, a memory, a communications link, a user interface and a display. The communications link allows the user devices to communicate over the communication network 120. The user interface allows a user to input information into the

user device

112, 114, 116, 118. The display is configured to present information to the user for viewing. Details of the user devices are not illustrated for clarity purposes. The

user devices

112, 114, 116, 118 can be mobile devices or stand‐alone devices. Examples of suitable user devices are mobile phones, smartphones, palm pilots, tablets, mini‐tablets, laptops or desktops or any other suitable network enabled computing device. In figure 1, devices 112 is a smartphone, 114 is a tablet, 116 is a laptop and 118 is a desktop computer.

The

user devices

112, 114, 116, 118 and the computing system are preferably arranged in the form of a social network 101. The

user devices

112, 114, 116 and 118 are arranged in a manner such that they can communicate with each other, as represented by the dashed lines in figure 1. The user device communications with each other are facilitated, controlled and may be recorded by the computing system 110. The computing system 110 and the

user devices

112, 114, 116, 118 are arranged in a server client relationship where the computing system 110 functions as a server and the user devices being clients of the computing system 110. A social networking website is used as a gateway for the user to communicate in the social network 101 and for a use to communicate with the computing system 110, through the user device. The social networking website is presented on the

user devices

112, 114, 116, 118. The social networking website is hosted on by the computing system 110, in particular by one or more servers that are part of the computing system 110.

The social networking website allows a user to communicate with a plurality of other users within the social network by interacting with the website. The website is a display of social network related information. The dashed lines in figure 1 are an illustration of communication between users of the network. The website can be accessed by the

user devices

112, 114, 116, 118 and presented to the user via the

user devices

112, 114, 116, 118. The website, and the computing system 110, are configured to allow the user to perform a number of activities within the social network. The activities performed by the users are recorded by the computing system as a user’s transaction history within the social network. The transaction history further comprises other actions or events performed by the user. These actions and events are also recorded as part of the transaction history.

The computing system 110 is configured to identify each type of activity performed by a user from the recorded transaction history. The computing system 110 comprises a plurality of predetermined list of actions or events that signify an activity. This is list is used to identify activities performed by a first user, e.g. a single user, from the transaction history. The computing system 110 is configured to assign a score to each activity based on a predetermined criteria. The assigned scores are aggregated by the computing system 110 and present the aggregated scores for each activity on a graphical interface 500. The graphical interface 500 pictorially represents the aggregated scores for an activity.

The graphical interface 500 is presented to the user on the user device, in particular on a display of a

user device

112, 114, 116 and 118. The computing system is configured to generate a graphical interface periodically or in response to a user request. In the illustrated embodiment a

user

102, 104, 106, 108 can send a request to the computing system 110 to view a graphical interface 500. The computing system 110 is configured to aggregate scores, create a graphical interface and provide such to the user device of the user that provided the request. For example if user 102 provided a request to view a graphical interface 500 to the computing system 110, the computing system 110 generates and provides a view of the graphical interface on the associated user device 112.

The graphical interface 500 is configured to pictorially represent aggregated scores of two or more activities compared to each other such that a user can visually perceive which activity scored higher as compared to the other activities. The predetermined criteria comprises assigning a score for an activity based on a comparison of activities performed by a first user compared to other users. The score is representative of the first user’s performance of the activity as compared to the performance by one or more other users of the social network. The graphical interface 500 represents scores in a time series to allow a user to visually perceive performance across a time period, for example across days, weeks, months, years and so on.

Figure 2 is an embodiment of the computing system 110. Figure 2 illustrates a detailed schematic of the computing system 110. The computing system 110 comprises suitable components necessary to receive, store and execute appropriate computer instructions. The components may include at least a processor unit 202, read‐only memory (ROM) 204, random access memory (RAM) 206, and input/output devices such as disk drives 208, input devices 210 such as an Ethernet port, a USB port, etc.

The computing system 110 may optionally comprise a display 212 such as a liquid crystal display, a light emitting display or any other suitable display. The display 212 is configured to allow a social network administrator to view data associated with the social network such as performance, number of users, monitor bugs and so on.

The computing system 110 may include storage devices such as a disk drive 208 which may encompass solid state drives, hard disk drives, optical drives or magnetic tape drives. The system 110 may use a single disk drive or multiple disk drives. The system 110 may also have a suitable operating system 220 which resides on the disk drive or in the ROM of the computing system 110.

As shown in figure 2, the computing system 110 comprises a database 221. The database 221 is in communication with the processor unit 202. The database 221 may be in communication with one or more other components of the computing system 110. The database 221 is configured to store data records. The database 221 is a relational database. In alternative embodiments the database 221 may be any other suitable database. In the illustrated embodiment of Figure 2, the database is formed as an integral component of the system 110, and positioned in the same housing as all the other components. Alternatively the database 221 may be a separate component or a remote component that can be accessed through a communication network.

The computing system 110 includes instructions that may be stored in ROM 204, RAM 206 or disk drives 208 and may be executed by the processing unit 202. The computing system 110 comprises at least one communications link 214. There may be provided a plurality of communication links 214 which may variously connect to one or

more user devices

112, 114, 116, 118. At least one of a plurality of communications link may be connected to an external computing network through a telephone line or other type of communications link.

The communications link 214 may be in the form of a server that allows the computing system to link with and communicate with the

user devices

112, 114, 116 and 118. In the illustrated embodiment the computing system 110 comprises a mobile server 216 and a desktop server 218. The mobile server 216 communicates with the

mobile user devices

112 and 114 and the desktop server 218 communicates with the

computing devices

116 and 118. The mobile server 216 and the desktop server 218 are in communication with the controller and are configured to interact with one or more memory units. In the illustrated embodiment the mobile server 216 and the desktop server 218 are arranged as modules within the computing system 110. Preferably the servers 216, 218 are hardware modules, which include suitable electronic components, and the server modules 216, 218 are controlled by the processor unit 202.

In an alternative embodiment the server modules 216, 218 may be in the form of software modules that are present on a memory device and executable and/or controllable by the processor 202. The server modules 216, 218 provide communication functionality between the computing system 110 (acting as the server) , and one or

more user devices

112, 114, 116, 118 (acting as the client) . In a further alternative embodiment the mobile server 216 and the desktop server 218 may be separate computer devices. The mobile server 216 and the desktop server 218 may be arranged to communicate with the processer unit 202 via a communication bus or other suitable communication channel or interface. The separate server units may be in a distributed architecture or may be cloud based.

The computing system 110 comprises a user profile module 270. The user profile module 270 is configured to allow a user to create a user profile. The user profile module 270 is configured to present the appropriate information to a user device to allow creation of a user profile. The user profile data input by the user is gathered by the user profile module 270 and stored in memory or in a database 221. The user profile identifies a user of the social network, and allows the user to interact with the social network and perform activities. The user profile information can be used to track and identify the specific user that is interacting with and using the social network.

The computing system 110 further comprises a transaction history module 222. The transaction history module 222 is configured to record transaction history of all the users of the social network. The transaction history module 222 is configured to receive activities performed by users on the social network. The transaction module 222 is configured to assign each user with the activity or activities performed by the user. The transaction module is configured to encode each activity with a user code such that the activity is associated with the user that performed the activity. The transaction module 222 is configured to transmit recorded activities to the database 221 for storage and access. The transaction module 222 may be a suitable software or hardware module that is implemented in the computing system 110. The processor 202 may be configured to control the operation of the transaction module 222.

The transaction module 222 is configured to record all the activities performed by at least a first user of the social network, and preferably all the users of the social network, in a time series. The activities are recorded and accorded a time stamp to identify when the activity was performed by a user. The transaction module can further identify the user that is performing the activities using the user profile information. The user profile information can be used to encode activities by the transaction module 222 to specifically identify the activities by a specific user.

The computing system 110 also comprises a scoring module 224. The scoring module 224 is a software module executable by the processor 202. Alternatively the scoring module 224 may be a hardware module with appropriate electronic components. The scoring module 224 is configured to assign a score to an activity based on a predetermined criteria. The predetermined criteria comprises assigning a score for an activity based on a comparison the first user as compared to one or more other users of the social network, the score being representative of the first user’s performance of the activity as compared to the performance by one or more other users of the social network 101.

The computing system 110 comprises an aggregation module. The aggregation module 226 is configured to aggregate scores for a particular activity performed by at least a first user. The aggregation module 226 may be configured to sum all scores assigned to an activity within the time period. The time period can be set by a user. The time period can be any suitable time period for example days, weeks, months, years or since the inception of the user on the social network.

The computing system 110 further comprises a graphical interface generator 228. The graphical interface generator 228 is configured to generate a graphical interface to present aggregated scores for each activity, the graphical interface pictorially representing comparative aggregated scores. The graphical interface pictorially represents aggregated scores of two or more activities compared to each other such that a user can visually perceive which activity scored higher compared to other activities. The graphical interface generator 228 is a software module residing in the computing system and controlled by the processor unit 202. Alternatively the graphical interface generator 228 may be a hardware module that is part of the system 110, and controlled by the processor unit 202. The graphical interface generated by the graphical interface generator is transmitted to and displayed on the

user device

112, 114, 116 and 118.

As described earlier the scoring module 224 is configured to assign a score to each activity performed on the social network. As mentioned earlier a score is assigned based on a predetermined criteria. The predetermined criteria utilised is based on a comparison of an activity performed by a first user to other users on the social network. Preferably the comparison is made with other users within a first user’s immediate network. For example the comparison is made with other users of the social network that are friends or contacts of the first user. Alternatively the comparison is made with other users that are within one degree of separation from the first user. The social network 101 is configured to allow users to become friends or add contacts. The computing system 110 is configured to store the relationships between users in memory but more preferably in the database 221. The social network 101 includes all the functionality of creating relationships, creating contacts, suggesting contacts and so on, similar to known social networks such as Facebook or Linkedin.

The scoring module 224 is configured to compare like activities performed by users of the social network 101. The score that can be assigned to a specific activity is a dynamic score that can fluctuate between a maximum value and a minimum value. The score that is assigned to an activity performed by a first user is based on a comparison of the same activity performed by a first user with other users within the first user’s immediate network for example with the contact list of the first user. An activity as identified by the transaction history module 222 is based on one or more predefined rules. These rules can be stored in a memory unit such as ROM 206 or in the database 221 or in another suitable storage device. Alternatively the definition of the activity may in the form of software rules that reside in the transaction history module are executable by the computing system to identify one or more activities from the transaction history of a first user. Each activity is a broad term to describe a functionality of the social network. Career development for example relates to activities performed by at least the first user and/or other users that relates to improving or enhancing the user’s career. Networking for example refers activities performed to improve or expand a user’s network.

Activities performed by the user are classified as core activities or sub‐activities. A core activity can be pre‐defined and the types of core activities are stored in the database. This pre‐stored list of definitions is used by the transaction history module 222 to identify core activities from the transaction history of the user. Other modules of the computing system 110 can also use the pre‐defined list to identify core activities and perform appropriate functions. For example the scoring module 224 may use the stored list of core activities to assign a score to activities that are defined as core activities. Some examples of core activities are “career development” , “networking” and “education” . Other activities can form or be defined as core activities also.

Figure 3a shows an example of a list of core activities. As seen in figure 3a, the core activities are “career development” , “networking” , “education” , “participation” and “information” . The core activities as per figure 3a are an exemplary list.

The scoring of core activities is based on a predetermined criteria as described above. Scoring an activity comprises ascribing a numerical value and a weighting to the particular activity. The numerical value ascribed to the activity is based on a set of predetermined rules. The rules are stored in the scoring module 224 or can be stored in the database 221 and accessed by the scoring module 224. In one example a numerical value ascribed to an activity, or a core activity is based on a type of action executed by the user. An action is performed by a user to achieve an activity. Figure 3b shows a list of exemplary actions and the numerical value associated with the actions. The scoring module is configured to ascribe a numerical value based on the type of action performed by the user. Referring to figure 3b a basic action is ascribed 1 to 2 points, an active action is ascribed 2 to 4 points and a responsive/proactive action is ascribed the maximum 5 to 6 points. A basic action is something fundamental on a social network such as viewing a page. An active action is something like reading an advertisement or an article. An active action relates to an involved action, i.e. a user is being involved in the social network and its functions. A proactive or responsive action denotes taking initiative or is a pre‐emptive or a hands‐on type action, for example connecting with other users or participating in training.

The list of actions and types of actions can be predetermined and this predetermined list is stored in the database 221 or appropriate memory. The transaction history module 222 is configured to identify the type of action performed by the user as part of recording the activity performed by the user. The transaction history module records the activity that is performed as well as the associated action of the user. The scoring module 224 is configured to determine the action for an activity and ascribe a numerical value based on the type of action. It should be appreciated that some activities are not associated with an action and are ascribed a numerical value based on the time parameter. For example if an activity is performed within a pre‐set time then a higher numerical value is ascribed as compared to a performing the activity slower than the pre‐set time. The pre‐set time is a threshold time that relates to or is like an active or proactive action.

A core activity can comprise one or more sub activities. The one or more sub activities all together define a core activity. The scoring module 224 is configured to assign a score to each sub activity based on a predetermined criteria, the predetermined criteria being similar to that described earlier i.e. based on a comparison with other users. Figures 3c and 3d are two exemplary embodiments of sub activities that define a core activity. As can be seen in figure 3c the core activity of “career development” comprises seven sub activities. The sub activities are “Update profile” , “Read recruiter ad” , “Response to recruiter ad” , “Participate in training” , “Who viewed me” . Other sub activities are also contemplated. The sub activities are predefined, however may amendable by an appropriate person such as a network administrator. Figure 3d shows the core activity of “networking” comprises seven sub activities. The sub activities are “add new connection” , “invite connections” “refer others” , “create groups in chats” , “read NXCH notification” , “view others profile” .

Figure 4 shows an exemplary function of the scoring module 224. In particular figure 4 shows a score is assigned for an activity. Figure 4 shows a table of numerical values and weighting that is used to generate a score. The table as per figure 4 also illustrates the sub activities that comprise each core activity. The table also shows which sub activities are ascribed a numerical value or a score based on a user performing an action or performing the activity within a pre‐set time. Figure 4 illustrates an exemplary scoring function used to score three example core activities. The table on figure 4 shows the core activities being “Career Development” , “Networking” and “Education” . The table shows the assignment of numerical values to each sub activity associated with each core activity. Figure 4 further shows the sub‐activities that require an action and the sub‐activities that are required to be executed within a pre‐set time period.

The scoring module 224 is further configured to assign a weighting as part of assigning a score. The weighting is a parameter that relates to the comparison with other users of the social network. The weighting is a static percentage weighting. The weighting may be predefined for each type of activity and sub activity. The relationship between weighting and activity or sub activity may be stored in a memory unit or in the database 221. The scoring module 224 is arranged to access the relationship and determine a weighting for each activity. The scoring module 224 is further arranged to determine and assign a weighted score. The score assigned by the scoring module 224 relates to a weighted score for each activity and/or sub activity.

The weighted score is determined by multiplying the assigned numerical value by the weighting. The weighted score assigned for each activity or sub activity is based on a comparison with other users of the network, or at least in comparison to other users within a personal network of a first user. As discussed the score is dynamic score and can vary based on the comparison between a first user and the other users. The numerical value ascribed to an activity can vary based on a comparison between the performance of a first user compared that of other users. Alternatively the weighting value related to each activity may change based on a comparison. In a further alternative form both the numerical value and weighting can change. Some users will get a higher score for a particular activity and a lower score for other activities. For example a professional user will get a higher score (i.e. weighted score) compared to a fresh graduate for the activity of mentoring, but a professional user would get a lower score than a fresh graduate for the activity of attending a training program. This is because a professional is more experienced and can provide mentoring hence the higher score compared to a graduate. Similarly a professional has a reduced need for training as compared to a fresh graduate, hence a lower score for the professional as compared to a fresh graduate. Other scoring criteria can also be predetermined and used in assigning scores to activities.

The computing system 110, in particular the scoring module 224 is configured to compare performance of an activity based on a one or more stored criteria, wherein the criteria are stored in memory or in the database 221. The criteria can be set or changed by an authorized person for example the social network administrator.

The aggregation module 226 is configured to aggregate scores for a particular activity or aggregate scores of a particular sub activity. The aggregation module 226 is further configured to aggregate the scores of sub activities to generate an aggregated score for an activity. The aggregation module 226 is configured to determine a weighted average is determined to represent a score for a specific time period. For example the aggregated score for “career development” activity in a month is determined as a weighted average of all the scores for career development within the month (i.e. in the time period) .

The graphical interface generator 228 is configured to receive or use the aggregated scores for various activities and create a graphical interface 500 to pictorially display the various activities and the associated aggregated scores. Figure 5 shows an embodiment of a graphical interface 500. The graphical interface 500 comprises a first heat map 510. The first heat map 510 is in the form of a matrix that comprises a plurality of

rows

512, 514, 516, 518, 520, 522 and a plurality of

columns

524, 526, 528, 530, 532. As per the illustrated example the activities are arranged in rows of the heat map 510 and time periods are arranged in the columns of the heat map. As shown in figure 5, the activities career development, networking, education, information and participation are arranged along the rows. Similarly figure 5 shows the time periods of 1 week, 1 month, 6 months, 1 year and since inception. The heat map 510 is configured to pictorially display aggregated scores for an activity at different time intervals. The aggregated score is determined as described earlier.

The graphical interface may include additional tabs and options that a user can activate. For example the heat map 510 may comprise a compare function 540 that allows a user to compare scores between two or more activities, or compare scores with another user. The compare function provides a more detailed comparison with numerical values. This function can give a user more detailed information. The heat map 510 comprises an improve function 550. The improve function allows for a user to adjust the settings of the heat map. Activating the improve function 550 provides the user access to one or more sliders or other buttons that allows a user to change the colour scheme used in the heat map, or improve resolution or change the time scale or change any other parameters of the heat map 510. The heat map 510 also comprises an aggregate function 560. The aggregate function 560 allows for further aggregation options to aggregate additional scores, or aggregate scores from a different time period.

The graphical interface 500 may comprise a footer 570 with additional functions. These additional functions are functions associated with the social network website. For example referring to figure 5, a chat function is available that can be activated by using the icon labelled chat. This chat function allows a first user to text chat or instant message other users. Still referring to figure 5, the interface 500 provides the following additional icons “social” , “news” , “events” , “charts” and “heat maps” . The social network 101 may be a professional or financial social network allowing a user to perform various appropriate activities. The social icon allows a user to access their friends list or search for other users to add. The news icon allows a user to access the latest news feed. The events icon allows a user to access his/her calendar and view upcoming events. The charts icon allows a user to access financial charts such as various stock exchange charts, or currency charts or any other suitable financial charts. The heat maps icon is active, as denoted by the circle around it, and allows a first user to access and view heat maps.

The heat map 510 (i.e. the matrix) comprises a plurality of cells. The cells are coloured to represent different values of aggregated scores. As shown in figure 5 the cells are different tones of the same colour, the illustrated example shows different tones of a purple being used to represent the different values of aggregated scores for each activity. Alternatively each activity may be coloured in a different colour and the different values of aggregated scores may be represented by different tones of a single colour associated with each activity. In a further alternative different aggregated score value or each cell can be a separate colour.

The single colour with different tones or different intensities of a single colour provides a simple method of representing the different aggregated scores of the activities. The darker tone representing a higher score and the lighter tone representing a lower score. In one example the graphical interface 500 comprises four distinct tones； lightest, light, dark and darkest. The lightest tone represents aggregated scores in the lowest 25％, the light tone represents scores between 26％and 50％, the dark tone represents scores within 51％and 75％, and the darkest tone represents scores of greater than 76％. The scores listed here are aggregated scores. In this example the percentages may relate to percentiles, hence the lightest tone represents activity scores in the lower 25^th percentile, the darkest tone represents scores in the upper 76^th percentile. In this example the graphical interface generator 228 is configured to compare the aggregated scores of one activity to other activities to determine the tone used to represent the aggregated score.

The example in figure 5 shows a heat map 510 of a first user. The heat map 510 allows a user to visually determine that the he or she has performed well in “participation” as compared to”career development” . This is because the cells of the “participation” row are in a darker tone or colour as compared to the cells of the “career development” row. The heat map is advantageous because it allows a user to easily and visually comprehend their performance in one or more activities as compared to other users of the social network. The heat map interface is advantageous because it is simple to understand and quickly and efficiently conveys information. The heat map 510 is also advantageous because it provides feedback regarding a user’s performance of activities compared to other users.

The heat map 510 is arranged to display an overall rank and score. The overall rank is determined by the aggregation module 226. The overall rank and overall score is a score to represent how a first user compares to the other users of the network or at least other users in the first user’s contact list. The heat map 510 is configured to pictorially represent overall rank at different time periods, as can be seen by the cells associated with the row labelled “overall rank” . The exemplary heat map 510 shows that the first user has had a high overall rank in the past year, as represented by the darkest tone. As discussed earlier activities are functions that can be performed on the social network 101 or on the social network platform 101. The overall rank and overall score provides a user a visual indication of his or her own performance in relation to others. This is advantageous because it provides validation to a user for using the social network and its functions. Further the presentation of such a score is advantageous because it allows a user to understand how well the user is performing in relation to all the other users, and provides a user feedback regarding use of the social network. The heat map 510 and the overall score provided on the heat map 510 may encourage additional users of the social network because user’s get feedback regarding their performance on the social network.

The heat map 510 may be edited by the user using the improve icon. The improve icon allows the first user to amend the settings associated with the heat map 510. For example the user can change the number of activities displayed, or change the colour scheme or change the time period. In one example a user may only view the career activity in relation to various time periods. The graphical interface generator 228 is configured to receive any requests for setting changes, and is configured to generate an appropriate graphical interface 500 and heat map 510 in accordance with the user settings.

The graphical interface 500 also comprises a header 580 positioned near the top of the interface. The headgear includes a list of core activities that can be selected by the user. Selecting a core activity in the header re‐arranges the heat map to display the selected core activity in the first row. In a further form selecting a core activity from the header may cause the scores to be rearranged or re‐coloured using the selected core activity as the main comparator i.e. the standard for comparison. In the illustrated example of figure 5, career is the selected core activity, hence career is positioned in the first row 512.

The heat map 510 is a first heat map or a primary heat map. The heat map 510 is a first layer in a multi‐layer heat map structure. The heat map 510 (i.e. first heat map) represents user performance for core activities. The core activities comprise sub activities, the sub activities being a second layer of data and the core activities being a first or primary layer of data. Each core activity can be represented on a sub heat map 600, 602, 604, 606, 608. The sub heat map represents the performance of all the sub activities associated with a core activity. The sub heat maps form a second layer of information that can be accessed by a user.

Figure 6 is an exemplary embodiment of the sub heat maps. Figure 6 shows sub heat maps 600, 602, 604, 606, 608 that each relate to a primary activity from the first heat map 510. Figure 6 shows the first or primary heat map 510 as layer 1, map 1. Layer 2 refers to the sub heat maps that display additional details of the sub activities associated with a core activity. As seen in figure 6, there is a career development sub heat map 610 (layer 2 map 1) , a networking sub heat map 620 (layer 2 map 2) , an education sub heat map 630 (layer 2 map 3) , an information sub heat map 640 (layer 2 map 4) and a participation sub heat map 650 (layer 2 map 5) . Any one or more of the sub heat maps can be accessed by a user by selecting a core activity on the first heat map 510. For example if a user double clicks on the participation core activity on the first heat map 510, he or she will be presented with the sub heat map 650 for the participation core activity, wherein the sub heat map pictorially displays the sub activities associated with the participation core activity.

The

sub heat maps

610, 620, 630, 640 and 650 are similar to the primary heat map. The sub heat maps comprise a matrix that includes rows and columns. The rows relate to the specific sub activity and the columns relate to a time period. The sub heat maps also comprises a plurality of coloured cells as part of the matrix. The sub heat maps may use a similar colour scheme as the primary heat map 510. The sub heat maps comprise different coloured cells, the cells being a different tone of a single colour. The different tones denote the performance of the sub activity. For example the darker the tone the better the performance by the user. The sub heat maps illustrate the performance in one or more sub activities, by a first user, as compared to other users of the social network, or at least in comparison to the first user’s contacts. The sub heat maps allow a user to easily and visually determine a user’s performance of one or sub activities as compared to other users of the social network. A key 660 may be presented on the sub heat map display or in conjunction with any heat map. The key 660 shows a user the meaning of each tone.

Figure 7 shows an exemplary sub heat map 610. The sub heat map 610 is the sub heat map for the core activity “career development” . The sub heat map comprises a matrix that includes a plurality of rows and columns. The matrix includes a plurality of cells defined at the junction of a row and column. The

rows

712, 714, 716, 718 represent the sub activities, and row 720 represents overall rank. The sub activities that define the core activity “career development” are updated profile, recruiting, training and networking.

Columns

724, 726, 728, 730, 732 represent time intervals of 1 week, 1 month, 6 months, 1 year and since inception respectively. The sub heat map shows comparative performance between sub activities. For example as per figure 7, the first user performed between in networking over the past year than training in the past year, as denoted by the darkest tone for the cell of networking and 1 year. The sub heat maps may comprise the same functionality as the first (i.e. primary) heat map 510.

In a non‐limiting embodiment a method for analysing activities on a social network comprises the steps of； receiving one or more inputs from a plurality of users of a social network. The inputs are received from a user device and the inputs comprise one or more activities or actions performed by the user on the user device, as the user interacts with the social network. The method progresses to the step of recording a transaction history associated with one or more users. The method further comprises the steps of identifying one or more activities from the recorded transaction history. A score is assigned to each activity based on a predetermined criteria. The method comprises the steps of aggregating scores associated with each activity for a user and generating a graphical interface to present the aggregated scores for each activity, the graphical interface pictorially representing the comparative aggregated scores. The graphical interface is transmitted to the user device. The predetermined criteria comprises assigning a score for an activity based on a comparison of the first user as compared to one or more users of the social network, the score being representative of the first user's performance of the activity as compared to the performance by one or more other users of the social network. The graphical interface comprises a plurality of cells arranged in a matrix, each cell representing a score of an activity performed by the user on the online social network, each cell being a distinct colour or a different tone of a single colour, based on a value of the score of the performed activity, the graphical interface configured to pictorially display the activities of the user to allow a user to visually discern his or her performance in comparison to other users. The method as described is implemented as computing instructions stored on a memory unit such as RAM 206 or ROM 204. The computing instructions when executed by the processor 202 cause the computing system 110 to perform the method steps described earlier.

The architecture of the computing system 110 in figure 2 is an exemplary embodiment. In the embodiment of figure 2 all the system components are disposed within a single housing. However it will be appreciated that other system architectures are also contemplated. One alternative architecture for the system could be a distributed system. In a distributed system all the components of the system (i.e. the modules) are separate from each other and implemented on separate computing machines. For example one or more modules of the system 110 may in the form of separate computing devices or may be software modules residing on and executable on separate machines to the processor 202. These separate modules are still in communication with other modules and components of the system 110. In a further alternative architecture, the system 110 may be in the form of a cloud based system that is accessible by the user devices. The system 110 may comprise a plurality of hardware machines or computers that can be accessed subject to processing requirements or other resource requirements during operation.

In an alternative embodiment the predetermined criteria as described above can be a comparison with a first user’s history. The score that is assigned to an activity performed by a first user is compared to the performance of the same activity in the user’s past. For example the scoring is based on how a user performs an activity at a present point compared to how the user performed the same activity in the past. The system is configured to record all activities performed in relation to the time when the activity was performed. The score that is assigned is a dynamic value that ranges between a maximum and a minimum value, and value assigned to an activity is based on a comparison to the performance of the activity in the past.

Although not required, the embodiments described with reference to the Figures can be implemented to file an application programming interface (API) or as a series of libraries for use by a developer or can be included within another software application, such as a terminal or personal computer operating system or a portable computing device operating system. Generally, as program modules include routines, programs, objects, components and data files the skilled person assisting in the performance of particular functions, will understand that the functionality of the software application may be distributed across a number of routines, objects or components to achieve the same functionality.

It will also be appreciated that the methods and systems of the present invention are implemented by computing system or partly implemented by computing systems than any appropriate computing system architecture may be utilised. This will include stand alone computers, network computers and dedicated computing devices. Where the terms “computing system” and “computing device” are used, these terms are intended to cover any appropriate arrangement of computer hardware for implementing the function described.

It will be appreciated by persons skilled in the art that numerous variations and/or modifications may be made to the invention as shown in the specific embodiments without departing from the spirit or scope of the invention as broadly described. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive.

It is to be understood that, if any prior art information is referred to herein, such reference does not constitute an admission that the information forms a part of the common general knowledge in the art, in Australia or any other country.

Claims

A system for analysing activities in an online social network comprising:

a computing system comprising a processor unit and memory unit, the computing system further comprising:

a transaction history module configured to record a transaction history associated with one or more users,

the transaction history module further configured to identify one or more activities from the transaction history of a first user,

a scoring module configured to assign one or more scores to each activity within the transaction history, based on a predetermined scoring criteria,

an aggregation module configured to aggregate the scores associated with each activity for the first user,

a graphical interface generator configured to generate a graphical interface to present the aggregated scores for each activity, the graphical interface pictorially representing comparative aggregated scores.
A system for analysing activities in an online social network in accordance with claim 1, wherein the graphical interface is configured to pictorially represent aggregated scores of two or more activities compared to each other such that a user can visually perceive which activity scored higher as compared to the other activities.
A system for analysing activities in an online social network in accordance with claim 1 or 2, wherein the predetermined criteria comprises assigning a score for an activity based on a comparison the first user as compared to one or more other users of the social network, the score being representative of the first user’s performance of the activity as compared to the performance by one or more other users of the social network.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 3 , wherein the computing system is configured to compare an activity performed by a first user with an activity performed by other users of the social network to generate a score, as part of the predetermined criteria.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 4, wherein like activities of a first user are compared with like activities performed by other users of the social network.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 5, wherein the score is a dynamic value that ranges between a maximum value and a minimum value, the score assigned to an activity of a first user is based on the comparison of the activity performed by the first user to the activity performed by other users.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 6, wherein the transaction history module is configured to record each occurrence of an activity and the system further configured to record a date and time associated with the occurrence of the activity, and the computing system is configured to identify activities performed in different time intervals such as days, weeks, months, or years.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 7, wherein the scoring module is configured to assign a score to each recorded activity following the recording of the activity by the transaction history module.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 8, wherein the graphical interface comprises a first heat map, the first heat map is configured to display aggregated scores for each activity.
A system for analysing activities in an online social network in accordance with claim 9, wherein the first heat map is configured to display the aggregated scores of the activities as different colours, wherein each activity is represented as a different colour.
A system for analysing activities in an online social network in accordance with claim 9, wherein the first heat map is configured to display the aggregated score of the activities as different tones of the same colour.
A system for analysing activities in an online social network in accordance with claim 10, wherein the higher aggregated score for an activity is represented as a brighter colour, and a lower aggregated score is represented as a lighter colour.
A system for analysing activities in an online social network in accordance with claim 11, wherein the higher aggregated score for an activity is represented as a darker tone, and a lower aggregated score is represented as a lighter tone, of a single colour.
A system for analysing activities in an online social network in accordance with claim 11 or 13, wherein the aggregated scores can be represented as four tones ranging from lightest, light, dark, and darkest.
A system for analysing activities in an online social network in accordance with claim 13 or 14, wherein the heat map is configured such that the lightest tone representing aggregated scores in the bottom 25％, the light tone representing aggregated score within 26％‐50％, the dark tone representing aggregated score within 51％to 75％and the darkest tone representing an aggregated score of greater than 76％.
A system for analysing activities in an online social network in accordance with any one of claims 9 to 15, wherein the heat map is configured to display the aggregated scores of each activity in relation to time periods, the heat map is arranged as a matrix, the matrix comprising a plurality of rows and columns, wherein each row of the matrix relates to a separate activity and each column relates to a time interval.
A system for analysing activities in an online social network in accordance with any one of claims 16, wherein the heat map is configured to display aggregated scores for a specific time interval, each aggregated score being represented by a cell of the matrix, wherein a cell is a junction of a row and column.
A system for analysing activities in an online social network in accordance with claim 16 or 17, wherein each cell is coloured based as a separate colour to represent an aggregated score or each cell is coloured a tone of a single colour.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 18, wherein each activity comprises one or more sub activities, the sub activities together defining the activity.
A system for analysing activities in an online social network in accordance with claim 19, wherein each sub activity is identified from the transaction history by the transaction history module, the system is configured to assign one or more scores to each sub activity based on the predetermined criteria and the system further configured to aggregate the scores for each sub activity.
A system for analysing activities in an online social network in accordance with claim 19 or 20, wherein the graphical interface generator is configured to generate a sub heat map, the sub heat map configured to display the aggregated score of each sub activity on the graphical interface.
A system for analysing activities in an online social network in accordance with claim 19, 30 or 21, wherein the sub heat map can be accessed from the first heat map by selecting an activity on the first heat map, the computing system configured to present a sub heat map when a specific activity is activated on the first heat map.
A system for analysing activities in an online social network in accordance with any one of claims 1 to 22, wherein the aggregation module is configured to determine an aggregated score for an activity by summing individual scores for each activity within a time period and determining a weighted average of the individual scores.
A graphical interface for displaying activities performed by a user, the graphical interface comprising；

a plurality of cells arranged in a matrix,

each cell representing a score of an activity performed by the user on an online social network,

each cell being a distinct colour or a different tone of a single colour, based on a value of the score of an activity performed, the graphical interface configured to pictorially display the activities of a user on a social network.
A graphical interface for displaying activities performed by a user in accordance with claim 24, wherein the rows relate to one or more activities performed by a user and the columns relate to a time period when the user performs the one or more activities.
A graphical interface for displaying activities performed by a user in accordance with claim 24 or 25, wherein each cell is one or four tones based on the value of the score, the tones ranging from lightest, light, dark and darkest, wherein the lightest tone relates to a score within the lowest 25％, the light tone relating to a score within 26％and 50％, the dark tone relating to a score within 51％and 75％and the darkest tone relating to a score in greater than 76％
A graphical interface for displaying activities performed by a user in accordance with claim 24, 25 or 26, wherein the graphical interface comprises one or more sub interfaces that can be accessed by activating a specific cell in the matrix, the sub interfaces being in the form of a matrix, the sub interfaces displaying a score of one or more sub activities performed by a user.
A graphical interface for displaying activities performed by a user in accordance with any one of claims 1 to 27, wherein the graphical interface can be generated by the graphical interface generator of the first aspect, and the graphical interface can be used as part of the system as per any one or more of the previous statements.
A system for analysing activities in a social network, the system comprising:

a computing system comprising at least a processor and a memory device, the computing system further comprising

a transaction history module configured to record a transaction history associated with one or more users,

the transaction history module further configured to identify one or more activities from the transaction history of a first user,

a scoring module configured to assign one or more scores to each activity within the transaction history, based on a predetermined scoring criteria,

an aggregation module configured to aggregate the scores associated with each activity for the first user,

a graphical interface generator configured to generate a graphical interface to present the aggregated scores for each activity, the graphical interface pictorially representing comparative aggregated scores,

wherein the predetermined criteria comprises assigning a score for an activity based on a comparison the first user as compared to one or more other users of the social network, the score being representative of the first user’s performance of the activity as compared to the performance by one or more other users of the social network,

the computing system is configured to compare an activity performed by a first user with an activity performed by other users of the social network to generate a score, wherein like activities of a first user are compared with like activities performed by other users of the social network, as part of the predetermined criteria,

the transaction history module is configured to record each occurrence of an activity and the system further configured to record a date and time associated with the occurrence of the activity, and the computing system is configured to identify activities performed in different time intervals such as days, weeks, months, or years,

the aggregation module is configured to determine an aggregated score for an activity by summing individual scores for each activity within a time period and determining a weighted average of the individual scores.

the graphical interface comprises a first heat map, the first heat map is configured to display aggregated scores for each activity, the heat map is configured to display the aggregated score of the activities as different tones of the same colour, wherein a higher aggregated score for an activity is represented as a darker tone, and a lower aggregated score is represented as a lighter tone, of a single colour

the aggregated scores can be represented as four tones ranging from lightest, light, dark, and darkest,

the heat map is configured such that the lightest tone representing aggregated scores in the bottom 25％, the light tone representing aggregated score within 26％‐50％, the dark tone representing aggregated score within 51％to 75％and the darkest tone representing an aggregated score of greater than 76％,

the heat map is configured to display the aggregated scores of each activity in relation to time periods, the heat map is arranged as a matrix, the matrix comprising a plurality of rows and columns, wherein each row of the matrix relates to a separate activity and each column relates to a time interval, wherein the heat map is configured to display aggregated scores for a specific time interval, each aggregated score being represented by a cell of the matrix, wherein a cell is a junction of a row and column,

each activity comprises one or more sub activities, the sub activities together defining the activity, the transaction module is configured to identify each sub activity from the transaction history, the system is configured to assign one or more scores to each sub activity based on the predetermined criteria and the system further configured to aggregate the scores for each sub activity, and

the graphical interface generator is configured to generate a sub heat map, the sub heat map configured to display the aggregated score of each sub activity on the graphical interface, wherein the sub heat map can be accessed from the first heat map by selecting an activity on the first heat map, the computing system configured to present a sub heat map when a specific activity is activated on the first heat map.