WO2014033730A2

WO2014033730A2 - System and method for rating, ranking, and connecting members and events of a social network

Info

Publication number: WO2014033730A2
Application number: PCT/IN2013/000409
Authority: WO
Inventors: Shivani GOEL
Original assignee: Goel Shivani
Priority date: 2012-07-03
Filing date: 2013-07-03
Publication date: 2014-03-06
Also published as: WO2014033730A3

Abstract

Disclosed is a method and system for ranking at least one user of a social network on a collaborative platform. Data associated with at least one user is received. Further a profile is created for the at least one user based on the data received. The profile created for of the at least one user based on a plurality of analyzing parameters is analyzed. The analyzing parameters may further comprise of rating the profile based on individual rating provided by other users for the data and media content associated with the profile. The analyzing parameters may also comprise of connecting the profile of the at least one user with a plurality of other profiles based on a cumulative ranking based on the rating.

Description

SYSTEM AND METHOD FOR RATING, RANKING, AND CONNECTING

MEMBERS AND EVENTS OF A SOCIAL NETWORK

FIELD OF THE INVENTION

The present application generally relates to social networking. More particularly the application relates to a web and mobile based social network that enables the constituent members to upload details related to them and enables ranking, rating and matching members with each other based on a plurality of parameters.

BACKGROUND OF THE INVENTION

Conventionally, people associate with each other or network with each other by means of social clubs, social events, meeting friends through other friends, and so forth. However, the Internet has now made keeping in touch with friends and acquaintances more convenient for many people. In order to facilitate communications between vast numbers of individuals, various social networking websites have been developed in recent years. Social networking websites can provide organizational tools and forums for allowing these individuals to interact with one another via the websites. Social networks, or communities of entities that share varied interests or activities and are interested in exploring the interests of other entities, have become more prevalent. Particularly, social networking websites have allowed users or entities to more efficiently communicate information among each other.

Sports is one of the areas in which specialized social networking is required, however, the present web based social networking platforms do not provide enough means for people belonging to various dimensions of sports such as coaches, selectors, players, referees, umpires, administrators, parents, agents, sponsors etc. to get connected on the basis of affinity matching. The existing systems provide affinity matching methods to connect people primarily on the basis of their interests, proximity of their locations or common contacts. Matching systems use relational database management systems to input, store, organize, and query information. For ease-of-use and device portability, many systems 3 000409

leverage browser-based interfaces for entering and displaying of information, such as match input data and results.

However, the sports industry is still in a nascent stage when it comes to using collaborative networks and data analytics to help in search, listing, decision making and connection of talent. There is also a lack of any use of ICT and collaborative technology for screening coaches, ranking facilities and using data to drive networking, talent acquisition and retention, injury and other analysis. There is a dire need for systems that leverage the collaborative technology to screen and sign talent in rural and urban areas, connect that screened talent with coaches and facilities and in general give services that enable a higher productivity for the entire ecosystem.

Further, the existing systems do not provide any mechanism whereby a registered member can take advantage of a database containing contacts, and information related to such contacts, as well as calculations and inference of data on such registered members, especially related to sports performance and injury data in the various sports, and based on suclf calculations and inference, be matched to other members for access to the other members data and any other casual or contractual relationship that the other member may want to get into. Also, the existing systems do not provide any mechanism by which data related to the registered members may be leveraged to display pertinent information relating to the sports viz. events, proximal locations to play sports and other information that the player can use to improve his experience of the sport, and the like. Further the existing system do not allow for a mechanism to calculate performance based rating or ranking based on voluntarily submitted data at various levels of sports and use that for automatic filtering and connection for those players.

Further, the systems today do not allow for recommended creation of groups which can indulge in common group activity based on such rating and ranking including creation of groups for activity. Further the existing systems do not allow for dynamic viewing of the same data in a way that allows for efficient connection of talent. Further the existing systems do not allow for using such calculated ratings and rankings to suggest training, learning specific commenting or any other intervention that can help improve the performance and hence the initial rating of the player. Further the existing systems do not have a method for verifying and adjusting the given data by using the network itself by an allocation of hierarchical or peer roles based on the sport itself

Hence, there is a need for a system and related methods for providing a web based social networking platform for people sharing a common interest for sharing related information and networking. There is also a need for a networking platform for rating and ranking an individual or collection of individuals based on a plurality of parameters such as geography, sport, age, gender, performance and injury and other criteria including but not limited to specific meta data on individual sports. Further, the networking platform should also enable matching and connecting the various members of the network based on said ranks or other rating mechanisms, the said mechanisms themselves being capable of being leveraged.

OBJECTS OF THE INVENTION

It is the primary objective of the present invention to provide a means for networking a set of registered users of a social network that may facilitate a mechanism for submitting media content, personal and team performance information and information related to sports and personal athletic capability over a short and long period of time.

It is another objective of the present invention to provide means for connecting the members of a social network via various methods and means, including but not limited to sharing of emails, simple text messages and personal contact information in a selective or comprehensive way, based on certain calculations and inference, ratings and rankings.

It is another objective of the present invention to provide means for ranking an individual or a collection of individuals based on a plurality of parameters such as geography, sports played, age, gender, number of wins and losses, probabilities of winning, previous ratings, type of sport played, team ratings and other criteria including but not limited to specific metadata on individual sports.

It is another objective of the invention to provide means for visually depicting the connected members and related information across various metrics of the members and the relevant sports. It is yet another objective of the present invention to provide means for creating a team of members based on individual ratings rankings and preferences. '

It is another objective of the present invention to provide a means for manual rating of video and photos uploaded by a user authorized by the system.

It is another objective of the present invention to allow learning and training feedback for the users authorized by the system.

It is still another objective of the present invention to allow presentation of data related to plurality of events and groups, wherein the data is filtered based on the ranking and rating.

SUMMARY OF THE INVENTION

This summary is provided to introduce aspects related to systems and methods for ranking at least one user of a social network on a collaborative platform and the aspects are further described below in the detailed description. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in determining or limiting the scope of the claimed subject matter.

In one implementation, a collaborative platform and a method for valuating at least one sport person on a collaborative platform based on a rating and a ranking associated with the at least one sport person is disclosed. The collaborative platform comprises a processor and a memory coupled to the processor for executing a plurality of modules present in the memory. The plurality of modules comprises a receiving module, a profile module, an adjustment factor module, a rating module, and a ranking module. The receiving module is configured to receive a plurality of information and preferences associated with at least one sport person. Based on the plurality of information and preference received the profile module is configured to create a profile for the at least one sport person. The profile module may verify the plurality of information and preference received by the collaborative platform. Further, the adjustment factor module is configured to generate a plurality of adjustment factors for the at least one sport person, wherein the plurality of adjustment factors enable a plurality of stakeholders to rate the at least one sport person. The rating module is configured for rating the at least one sport person, wherein the rating module rates the at least one sport person based on stochastic computation based on performance with another sports person.' The ranking module is configured to determine the rank for the at least one sport person based on the rating and custom factors.

In one implementation, a method for mapping at least one sport person with a plurality of stakeholders on a collaborative platform based on a rating and a ranking associated with the at least one sport person is disclosed. A plurality of information and preferences received by the collaborative platform may be used for creating a profile for the at least one sport person. The plurality of information and the preferences received may be verified. The verification of the plurality of information associated with the at least one sport person may be performed using a trust model. The at least one sport person is rated wherein the rating is a stochastic function of win and loss, and the plurality of adjustment factor, wherein the rating is stored in a rating database. Further, a plurality of adjustment factors are generated simultaneously with rating, for the at least one sport person, wherein the plurality of adjustment factors enable the plurality of stakeholders to rate the at least one sport person. The at least one of sport person is further ranked based on computing the rating and custom factors.

In one implementation, the at least one sport person is mapped based on the rating and the ranking with at least one other sport person. Further, a role centric view may be displayed based on the ranking and the rating, wherein the role centric view enables to view the relationship between the atleast one sport person and the atleast on other sport person.

In one implementation, a method for ranking at least one user of a social network on a collaborative platform has been disclosed. Data associated with at least one user is received. Further a profile is created for the at least one user based on the data received. The profile created for of the at least one user based on a plurality of analyzing parameters is analyzed. The analyzing parameters may further comprise of rating the profile based on individual rating provided by other users for the data and media content associated with the profile. The analyzing parameters may also comprise of connecting the profile of the at least one user with a plurality of other profiles based on a cumulative ranking based on the rating.

In another implementation a social network platform is disclosed. The social networking platform may comprise of a receiving module configured to receive data associated with at least one user. The nature of the data may be textual, i.e. it may only contain textual information, or may be media, i.e. it may contain video or images. The social network platform may further comprise a verification module configured to verify the data associated with the at least one user. A profile creation module in the social network platform is configured to create a profile for the at least one user based on the data verified by the verification module. The social network platform may further comprise an analytics module configured to analyze the profile of the at least one user.

BRIEF DESCRIPTION OF DRAWINGS

The foregoing summary, as well as the following detailed description of preferred embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the invention, there is shown in the present document example constructions of the invention; however, the invention is not limited to the specific methods and device disclosed in the application and the drawings.

The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the drawings to refer like features and components.

Figure 1 illustrates a collaborative platform 102, in accordance with an embodiment of the present subject matter.

Figure 2 illustrates a block diagram explaining the basic functioning of the social network platform according to an embodiment.

Figure 3 illustrates a block diagram of the system enabling the social network platform in accordance with an exemplary embodiment.

Figure 4 illustrates a method for valuating at least one sport person on a collaborative platform in accordance with an exemplary embodiment.

Figure 5 represents a method of ranking a member of the collaborative platform according to an exemplary embodiment.

Figure 6 represents a relation of a particular member with respect to other members of the network. Figure 7 represents a flowchart for ranking and rating on a collaborative platform according to an embodiment.

BRIEF DESCRIPTION OF THE INVENTION

The preceding description has been presented with reference to various embodiments. Persons skilled in ttie art and technology to which this application pertains will appreciate that alterations and changes in the described structures and methods of operation can be practiced without meaningfully departing from the principle, spirit and scope.

In the drawings and specification, there have been disclosed a typical preferred embodiment of the invention, and although specific terms are employed, the terms are used in a descriptive sense only and not for purposes of limitation. The application has been described in considerable detail with specific reference to these illustrated embodiments. It will be apparent, however, that various modifications and changes can be made within the spirit and scope of the application as described in the foregoing specification.

The methodology and techniques described with respect to the exemplary embodiments can be performed using a machine or other computing device within which a set of instructions, when executed, may cause the machine to perform any one or more of the methodologies discussed above. In some embodiments, the machine operates as a standalone device. In some embodiments, the machine may be connected (e.g., using a network) to other machines. In a networked deployment, the machine may operate in the capacity of a server or a client user machine in a server-client user network environment, or as a peer machine in a peer-to-peer (or distributed) network environment.

While aspects of described system and method for mapping at least one sport person with a plurality of stakeholders on a collaborative platform based on a rating and a ranking associated with the at least one sport person may be implemented in any number of different computing systems, environments, and/or configurations, the embodiments are described in the context of the following exemplary system.

In one embodiment, a collaborative platform for mapping the at least one sport person with a plurality of stakeholders based on a rating and a ranking associated with the at least one sport person is provided. It may be understood that the collaborative platform 102 may also be implemented in a variety of computing systems, such as a laptop computer, a desktop computer, a notebook, a workstation, a mainframe computer, a server, a network server, and the like. It shall be understood that multiple users may access collaborative platform 102 through one or more user devices (not shown), or applications residing on the user devices. Examples of the user devices may include, but are not limited to, a portable computer, a personal digital assistant, a handheld device, and a workstation. The user devices are communicatively coupled to the collaborative platform 102 through a network (not shown).

In one implementation, the network may be a wireless network, a wired network or a combination thereof. The network can be implemented as one of the different types of networks, such as intranet, local area network (LAN), wide area network (WAN), the internet, and the like. The network may either be a dedicated network or a shared network. The shared network represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like, to communicate with one another. Further, the network 106 may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, and the like.

In one implementation, a collaborative platform and a method for mapping at least one sport person with the plurality of stakeholders on a collaborative platform based on a rating and a ranking associated with the at least one sport person is disclosed. The collaborative platform comprises a processor and a memory coupled to the processor for executing a plurality of modules present in the memory. The plurality of modules comprises a receiving module, a profile module, an adjustment factor module, a rating module, and a ranking module. The receiving module is configured to receive a plurality of information and preferences associated with at least one sport person. Based on the plurality of information and preference received the profile module is configured to create a profile for the at least one sport person. The profile module may verify the plurality of information and preference received by the collaborative platform. Further, the adjustment factor module is configured to generate a plurality of adjustment factors for the at least one sport person, wherein the plurality of adjustment factors enables plurality of other sport person to rate the at least one sport person. The rating module is configured for rating the at least one sport person, wherein the rating module rates the at least one sport person based on stochastically computation. The ranking module is configured to determine the rank for the at least one sport person based on the rating and custom factors.

Referring now to Figure 1 illustrates a collaborative platform 102, in accordance with an embodiment of the present subject matter.

In one embodiment, the collaborative platform 102 may include at least one processor 148, an input/output (I/O) interface 104, and a memory 106. The at least one processor 148 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. Among other capabilities, the at least one processor 148 is configured to fetch and execute computer-readable instructions stored in the memory 106.

The I/O interface 104 may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like. The I/O interface 104 may allow the collaborative platform 102 to interact with a user directly or through the client devices. Further, the I/O interface 104 may enable the collaborative platform 102 to communicate with other computing devices, such as web servers and external data servers (not shown). The I/O interface 104 can facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite. The I/O interface 104 may include one or more ports for connecting a number of devices to one another or to another server.

The memory 106 may include any computer-readable medium known in the art including, for example, volatile memory, such as static random access memory (SRAM) and dynamic random access memory (DRAM), and/or non-volatile memory, such as read only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes. The memory 106 may include modules 108 and data 1 10.

The modules 108 include routines, programs, objects, components, data structures, etc., which perform particular tasks or implement particular abstract data types. In one implementation, the modules 108 may include a receiving module 112, a profile module 114, an adjustment factor module 116, a rating module 118, a ranking module 120, a mapping module 122, a recommendation module 124, and other modules 126. The other modules 126 may include programs or coded instructions that supplement applications and functions of the collaborative platform 102.

The data 1 10, amongst other things, serves as a repository for storing data processed, received, and generated by one or more of the modules 108. The data 110 may also include a received database 128, a profile database 130, an adjustment factor database 132, a rating database 134, a ranking database 136, a mapping database 138, a recommendation database 140, and other data 142. The other data 142 may include data generated as a result of the execution of one or more modules in the other module 126.

In one implementation, at first, a user may use the client device to access the collaborative platform 102 via the I/O interface 104. The user may register him using the I/O interface 104 in order to use the collaborative platform 102. The working of the collaborative platform 102 may be explained in detail in figures explained below.

In one implementation, the receiving module 1 12 is configured to receive a plurality of information and preferences associated with at least one sport person. The plurality of information and preferences associated may be obtained from various devices interacting with the collaborative platform 102. In one example, the plurality of information and preferences associated may be obtained from the memory 106. The data received by the receiving module is stored in the received database 128.

In one example, the plurality of information received may include but not limited to at least one of contextual information, or contextual media, wherein the plurality of information is verified by a trust model. The trust model may use any of the known techniques for the verification of the received data. The person skilled in art may be able to use the know techniques for the verification.

In an example, the preferences associated with at least one sport person may include but not limited to the sports persons home ground, the sports persons preferred style of play, using a particular equipment for the sports persons play, the sports persons win and loss history, the sports persons organization(s) played for, the sports persons level of play, the sports persons geographical location during different periods, and the like.

The plurality of information and preference received is used to create a profile for the at least one sport person using the profile module 114. The profile module 1 14 is further used for verifying the plurality of information and preference received by receiving module 112 using the trust model. The profiles created by the profile module 1 14 are stored in the profile database 130.

After the creation of the profile, the rating module 118 is configured to rate the at least one sport person. The rating of at least one sport person is dependent on the plurality of adjustment factors. The plurality of adjustment factors for the at least one sport person is generated using the adjustment factor module 1 16. The plurality of adjustment factors enables plurality of other sport person to rate the at least one sport person. The process of generating the plurality of adjustment factors and rating the at least one sports person is the simultaneous process.

The rating module 1 18 is configured to rate the at least one sport person. The rating module 118 is configured to rates the at least one sport person based on stochastically computation. The rating is a stochastic function of win and loss, and the plurality of adjustment factor. The win and loss are function of expertise level of the at least one sport person, home ground, age, level of sport, and sport event specific values. The rating database 134 is configured to store win and loss, and the plurality of adjustment factor which are further used for the stochastic calculation. The rating database 134 may also be used to store the rating of the at least one user obtained from the calculation. In one example, the rating module 1 18 and the adjustment factor module 1 16 may work simultaneously for rating the atleast one sports person. After the rating is assigned, the at least_' one of sport person is ranked based on computing the rating and custom factors using the ranking module 120. The ranking module 120 is configured to determine the rank for the at least one sport person based on the rating and custom factors. The custom factors may relate to at least one of locality, sport type, historical data of the at least one sport person available on the collaborative platform or plurality of adjustment factor. The data generated by the ranking module 120 is stored in the ranking database 136. The data generated may include the rank of the user and the like information.

The collaborative platform 102 further comprises of a mapping module 122. The mapping module 122 is configured to map the at least sport person with the plurality of stakeholders and further display the map. The plurality of stakeholders may comprise of coaches, other sport person, sponsors or selectors. The mapping module 122 is configured to maps the at leas one sport person with the at least one other sport person. The mapping is based on the relationship between the sport person, and the geographic proximity of the sport persons. The mapping of the at least one sport person with the at least one other sport person may be based on the rating and the ranking generated by the collaborative platform 102. The mapping database 138 is adapted for storing the data generated by the mapping module 122. The data generated may include but not limited to the maps generated based on the matching the plurality of sport person.

The collaborative platform 102 further comprises a recommendation module 124 for recommending a training and a learning activity to the at least one sport person based on a feedback received, by the collaborative platform, from the designated player. The recommendation database 140 is adapted for storing the data generated by the recommendation module 124. The data generated may include but not limited to the training and the learning activity recommended based on the recommendation the plurality of sport person.

The collaborative platform 102 further comprises a review module 144 configured to enable a designated expert player to review micro-activities of the at least one player based, wherein the designated player is configure to adjust the rating and ranking of the at least one sport person. The review database 146 is adapted for storing the data generated by the review module 144. The data generated by the review module 144 may include but not limited to the micro-activities of the at least one player.

The collaborative platform 102 is further configured for displaying a role centric view based on the ranking and the rating, wherein the role centric view enables to view the relationship between the atleast one sport person and the plurality of stakeholders. The role centric view based on geographical proximity of the at least one sport person with respect to the plurality of stakeholders.

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Referring now to Figure 2 illustrates an exemplary embodiment of the social network platform implementing the present invention. The social network platform may be hosted in a cloud computing environment, mobile network, internet and the like. The social networking platform facilitates a user to register, by means of a networked computing device such as personal computer, Tablet, Smartphone, Laptop, and the like, for becoming a member during the user's first visit. During the registration procedure the user may be required to provide information associated with himself such as name, age, sports played, levels played at, number of wins or loses, and the like. Upon, registration the newly registered member may be facilitated to provide further information personal or other in form of videos, or images.

In an embodiment, the member may be sportsperson, a coach, a selector, referee, an umpire, an agent, an administrator, a selector, league owners, league administrators, sponsors, clubs administrators, academies, event organizers, sports associations, sports agencies, parents, or any other person related to sports. In an aspect, the member may upload previously recorded videos by means of an information uploading module. The user may upload a plurality of related data and media on a dashboard provided by the social networking platform specific to the user. In a related aspect, the uploaded data may relate to the member's performance in a related sport that may be used by other members of the social network platform to rate the member on a plurality of parameters. Further, a member may also be enabled to monitor the rating, ranking and other metrics associated with himself or another members by means of the dashboard populated by the social networking system.

The data provided by the member may be verified by a plurality of mechanisms based on trust model implemented by both manual and systemic. In an aspect, the trust model may enable setting access level controls for a hierarchy and network of users. The data provided by the member may then be verified and edited. A level of trust may be set for the data provided by the member and a score for each member may be set and compared against a plurality of metrics. The trust model may also enable securing the confidence of the data that individual members provide. Further, the social network platform facilitates the member to connect with a plurality of other members of the network. For example, a sportsperson may be facilitated to connect to other sportspersons, coaches, selectors, and the like. Moreover, a plurality of groups may also be created on the social network platform depending on the interests or common parameters of a plurality of members. A member may join a group based on his interest and such a group may further enable the member to connect with a plurality of member of that particular group. The groups joined by a member may also provide one or more updates related to that group or group member. Moreover, such groups may also host one or more relevant ads that may be viewable by the members of the group.

In a further embodiment, the social network platform may enable a member to create a profile that may include personal information regarding the member and that may be viewed by other members. A checkout facility may also be provided that allows the member to log off from his network account. Further, a plurality of optional functionalities may also be provided that may enhance the experience of a member or a user.

Referring now to Figure 3, illustration of a block diagram of the system enabling the social network platform in accordance with an exemplary embodiment is provided. According to the present embodiment, the social networking platform may be hosted on a cloud and related infrastructure. A plurality of web APIs or web services may also be provided for sharing content and data between communities and applications or for another application. In an aspect, the social network platform may include a plurality of web APIs such as WebTelephony, WebSMS, Cloud API, Idle API, Settings API, Device Storage API, Contacts API, Camera API, LogAPI, and the like. The system includes a core engine that enables receiving, delivering and processing the user/member requests, internal data, data uploaded by members, and the like. The core engine is accessed and monitored by a group of administrators and a super administrator. The system also includes an analytics unit that is adapted to facilitate a plurality of analytics services by utilizing the information uploaded by the members and the metadata related to the members such as rating provided by other members, ranking provided by other members. The output of the analytics unit may be represented on the dashboard in form of charts, reports, and the like that may be configured according to a variety of sports, members and purpose of view. Further, the analytics unit may provide an interface for download and upload of several sets of data from the core engine by authorized users. The interface may also be adapted to receive inputs of specialized configurable parameters that may generate a new set of data based on manipulation in the analytics unit and the core engine. The analytics unit may be accessed by an analytics team for supervising the various analysis conducted by the analytics unit.

In an embodiment, the system may also include a content and report unit that is adapted to display the various charts, reports etc. generated by the analytics unit to the members, coaches, sports institutions, spotters, and the like. Further, a miscellaneous content unit is provided that stores data related to members, groups, advertisements, and other related metadata from the core engine and the analytics unit. The data stored in the miscellaneous content unit may be accessed by one or more merchants, suppliers etc that may utilize such data for marketing relevant products to the members. Referring now to Figure 4, illustrates a method for mapping at least one sport person with a plurality of stakeholders on a collaborative platform in accordance with an exemplary embodiment. The method starts at step 502 by creating a profile for the at least one sport person. The plurality of information and the preferences may be received by the collaborative platform. The plurality of information may associated with the at least one sport person. The plurality of information received consist at least one of contextual information, or contextual media, wherein the plurality of information is verified by a trust model. In the next step 504, the plurality of information and the preferences received by the collaborative platform is verified using the trust model. After the verification of the information in step 504, the at least one sport person is rated based on stochastically computation, at step 508. A plurality of adjustment factors are generated simultaneously at step 508. The rating is based on the stochastic function of win and loss, and the plurality of adjustment factors generated. The win and loss is stochastically determined, wherein win and loss are function of expertise level of the at least one sport person, home ground, age, level of sport, and sport event specific values. At step 510, the at least one of sport person is ranked. The ranking is based on computing the rating and custom factors.

Referring now to Figure 5, represents a method of ranking a member of the social network according to an exemplary embodiment. The present system and method facilitates the plurality of members of the social network to rate a member. As described above the members of the social network may be in a particular category such as sportsmen, coaches, selectors, and the like. In an aspect, the member is enabled to submit information on a plurality of dimensions that is then manipulated by the system to generate a rating and ranking that is assigned to each user. Additionally, each user may provide a rating to the member based on the athletic details or performance metrics if any, provided by the member. Moreover, the ratings provided by the users may have an associated weight, for example, the rating provided by the selectors may have the highest weight followed by the rating given by the coaches and then followed by the sportsmen. Hence, a cumulative rank, consisting of the system generated rank (based on key data inputs from the player) and the user rated rank may be calculated for every member. For members falling in a particular category, the attribute taken into consideration for rating may differ for the system and for the manual member rating. Furthermore, other parameters such as rating for related videos, photos, etc. may also be taken into consideration for determining the rank for the member. For calculating ratings, the system will use linear equation(s) taking input for the number of players, the win loss statistics, and previous ratings, amongst others. The equations will have adjustment and extrapolation factors for various parameters that are deemed necessary to calculate the rating and ranking of the user. In an embodiment, the equations may be a function of a previous rating associated with the member, factors relating to a plurality of teams and individual factors associated with the member, a plurality of factors associated with the members loses and wins, and one or more of social factors associated with the member. The equations may involve certain user entered and certain system master data for calculating the rank of the member. In an aspect, instead of a previous rating a default rating may be generated by the system for a newly joined member of the social network.

Referring now to figure 6, a relation of a particular member with respect to other members of the network is illustrated. Such a visual representation may be displayed by the system to the member accessing his profile. The concentric circles represent the ranges of ratings, ranking and other classes that the system may be programmed to depict. The member could be shown at the center whereas the other entities like coaches are displayed as dots and the other members/other users/entities are displayed as flags. In an aspect, the representation could also be reversed such that the member may be placed relatively in concentric circles of ratings and rankings. The proximity of the member to the coaches or other members may be based on the ranking of the coaches or the other members. For example, a coach having rank 100 may displayed closer to the member having rank 99. Furthermore, the coaches and users in proximity of the member may be divided in one or more zones. Such zones may display the physical distance between the member and othef users. For example, zone 1 may display users who are 1000 - 800 km away from the member, zone 2 may display user who are 800 - 600 km away from the member and zone 3 may represent users that may be 600 km or lesser far away from the member. Such a representation may be unique to a sport for a user or may also be a composite that is configured for a multiple of sports that user is the sport set for the user. Such a visual representation may also display a plurality of attributes of the member with respect to other users of the social network based on the choice of the member. Such a representation may also be overlaid on or by other layers of information like geographic maps and other geo location data. Referring now to Figure 7, illustrates a flowchart for ranking and rating on a collaborative platform 102 according to an embodiment. The flowchart starts with receiving the data related to the sports person. The data related to the sports person may include but not limited to the contextual information, the contextual media, and the plurality of preferences. The data related to the sports person are further verified for it trust-worthiness using the trust model. The trust model may use any of the known techniques for the verification of the data received. If the data received is not trusted or false or wrong the collaborative platform 102 ends the process. If the data received is trusted the collaborative platform 102 checks the data of the sports person for its activity. The activity may be an individual activity or a team activity. Further, the collaborative platform 102 is configured to check for the activity based on the activity level. The activity level may include but not limited to area or location of the sports person, whereas the level of activity may include but not limited to the performance at local, national or international level.

In one example, a profile of the atleast one sports person is created based on a plurality of information and preferences received by the collaborative platform 102.

After the activity level of the sports person is checked, the collaborative platform 102 further checks if the sports person is already rated. If the sports person is not already rated, the collaborative platform 102 calculates the baseline assignments and allocates a specific role to the sports person. If the sports person is already rated, the collaborative platform 102 verifies if the sports person is a registered member of the system. If the sports person is not the registered member of the platform sends an invitation to join the collaborative platform 102. In one example, if the sports person is not the registered member, they are not allowed to do any of the operations like flagging the data and the like on the collaborative platform 102.

If the collaborative platform 102 confirms the sports person as the registered member of the system, it calculates the win / loss expectation "WLe". The WLe is calculated, amongst other things on the expertise level of the sports person, the home ground information of the sports person, the age of the sports person, the level of sport of the sports person, the events specific values of the sports person, and the like. This information of WLe, is fed to calculate the rating of the atleast one sports person. The collaborative platform 102 is configured to receive uploads of the at least one sports person. The other registered sports person / stake holders are further allowed to rate, comment, and flag, uploads of the at least one sports person. The collaborative platform 102 is further configured to display and recommend the learnings and feedback to the atleast one sports person based on the information received from other registered sports person / stake holders. The collaborative platform 102 is further enabled to generate a plurality of adjustment factors. Based on the plurality of adjustment factors, the rating for the atleast one sports person is assigned simultaneously. The rating of the atleast one sports person is also based on the WLe.

The rating for the at least one sports person is based on the WLe, system customs factors for sport adjustments factors like social and peer reviews and the plurality of adjustment factors. In an exemplary embodiment the collaborative platform 102 is configured to rank the at least one sport person only when at least one another sport person is present on the collaborative platform 102. Further when the at least one another sport person is associated with same sport as the at least one sport person.

The collaborative platform 102 is further configured to assign the rank for the atleast one sports person. The ranking to the atleast one sports person is assigned based on the rating, the level and the custom factors received by the collaborative platform 102.

The collaborative platform 102 is further configured to display the plurality of sports persons registered on the collaborative platform 102 based on their ranking. Further the platform can filter the display based on a plurality of filters including but not limited to rank, inverse rank, level of play. Further the platform display can filter based on the pin code, latitude longitude, special milestones or other factors in combination with the ranking.

The illustrations of arrangements described in the preceding paragraphs are intended to provide a general understanding of the structure of various embodiments, and they are not intended to serve as a complete description of all the elements and features of apparatus and systems that might make use of the structures described herein. Many other arrangements will be apparent to those of skill in the art upon reviewing the above description. Other arrangements may be utilized and derived there from, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Figures are also merely representational and may not be drawn to scale. Certain proportions thereof may be exaggerated, while others may be minimized. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

Although implementations for methods and systems for collaborative platform for ranking and connecting members and events of a social network have been described in language specific to structural features and/or methods, it is to be understood that the appended claims are not necessarily limited to the specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations for collaborative platform.

Claims

I CLAIM:

1. A method for mapping at least one sport person with plurality of stakeholders on a collaborative platform based on a rating and a ranking associated with the at least one sport person, the method comprising:

creating a profile for the at least one sport person based on a plurality of information and preferences received by the collaborative platform, wherein the plurality of information and the preferences received by the collaborative platform verified using a trust model, wherein the plurality of information received consist at least one of contextual information, or contextual media;

rating the at least one sport person and simultaneously generating a plurality of adjustment factors for the at least one sport person, wherein the rating is a stochastic function of win and loss, and the plurality of adjustment factor, wherein the rating is stored in a rating database; and

ranking the at least one of sport person, wherein the ranking is a function of the rating and custom factors associated with the at least one sport person, wherein the creating, the rating and the ranking is performed a processor (148).

2. The method of claim 1, further comprises mapping the at least one sport person based on the rating and the ranking with the plurality of stakeholders.

3. The method of claim 1, further comprises displaying a role centric view based on the ranking and the rating, wherein the role centric view enables to view the relationship between the atleast one sport person and the plurality of stakeholders, things and events.

4. The method of claim 3, further comprises displaying the role centric view based on geographical proximity of the at least one sport person with respect to the plurality of stakeholders, things and events.

5. A collaborative platform for valuating at least one player with a plurality of other players based on a rating and a ranking associated with the at least one player, comprising:

a processor (148); and a memory (106) coupled to the processor (148), wherein the processor (148) is capable of executing a plurality of modules stored in the memory ( 106), and wherein the plurality of module ( 108) comprising:

a receiving module (1.12) configured to receive a plurality of information and preferences associated with at least one sport person;

a profile module (114) configured to create a profile for the at least one sport person based on the plurality of information and preference received, and verify the plurality of information and preference received by the collaborative platform, wherein the plurality of information is associated with the at least one sport person;

an adjustment factor module (116) configured to generate a plurality of adjustment factors for the at least one sport person, wherein the plurality of adjustment factors enables a plurality stakeholders to rate the at least one sport person. ,

a rating module (118) configured for rating the at least one sport person, wherein the rating module rates the at least one sport person based on stochastically computation; and

a ranking module (120) configured to determine the rank for the at least one sport person based on the rating and custom factors, wherein the custom factors are based on based at least one of locality, sport type, historical data of the at least one sport person available on the collaborative platform or plurality of adjustment factor.

6. The collaborative platform of claim 5, wherein the plurality of information received consist at least one of contextual information, or contextual media, wherein the plurality of information is verified by a trust model.

7. The collaborative platform of claim 5, wherein the rating module (1 18) is configured to store the rating in a ranting database (134), wherein the rating module (118) configured to capture win and loss, and the plurality of adjustment factor, for the stochastic calculation.

8. The collaborative platform of claim 5, further comprises a mapping module (122), wherein the mapping module (122) is configured to map the at least sport person with the plurality of stakeholders and further display the map.

9. The collaborative platform of claim 8, wherein the mapping module (122) maps the at least one sport person with the plurality of stakeholders, based on at least one of relationship between the- at least one sport person and the plurality of stakeholders, or and the geographic proximity.

10. The collaborative platform of claim 5, further comprises a review module (144) enabling a designated expert player to review micro-activities of the at least one sport person, wherein the designated expert player is configure to adjust the rating and ranking of the at least one sport person.

1 1. The collaborative platform of claim 5, further comprises a recommendation module (124) for recommending a training and a learning activity to the at least one sport person based on a feedback received, by the collaborative platform, from the designated expert player.