WO2020134686A1 - 数据可视化方法、装置、设备和介质 - Google Patents

数据可视化方法、装置、设备和介质 Download PDF

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Publication number
WO2020134686A1
WO2020134686A1 PCT/CN2019/118931 CN2019118931W WO2020134686A1 WO 2020134686 A1 WO2020134686 A1 WO 2020134686A1 CN 2019118931 W CN2019118931 W CN 2019118931W WO 2020134686 A1 WO2020134686 A1 WO 2020134686A1
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Prior art keywords
communication
target object
target
relationship
relationship table
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PCT/CN2019/118931
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English (en)
French (fr)
Inventor
火玺彩
王新宇
王海啸
刘浩
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苏州龙信信息科技有限公司
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Publication of WO2020134686A1 publication Critical patent/WO2020134686A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/904—Browsing; Visualisation therefor

Definitions

  • the embodiments of the present invention relate to the technical field of data processing, for example, to a data display method, device, device, and medium.
  • the data visualization display method provides an ideal solution to the above problems.
  • Data can be displayed by using column charts and line charts.
  • this display method has the problem of decentralized and singular data display, resulting in the isolated display of various data. , The user cannot intuitively feel the connection between the data, which reduces the data display effect.
  • the present application provides a data visualization method, device, equipment, and medium to realize the associated display of different object data and improve the data display effect.
  • an embodiment of the present invention provides a data visualization method.
  • the method includes:
  • a visual relationship diagram including each target object display graphics is generated.
  • an embodiment of the present invention also provides a data visualization device, which includes:
  • the communication information acquisition module is set to obtain the stored event data and extract the communication information of the target object
  • the information processing module is configured to process the communication information according to a preset rule, and determine a communication relationship table and a basic display value corresponding to each of the target objects;
  • the display graphics determining module is configured to determine the display graphics corresponding to the target object according to each of the basic display values
  • the relationship graph generation module is configured to generate a visual relationship graph including the display graphics of each target object according to the communication relationship table in combination with the display graphics.
  • an embodiment of the present invention further provides a device, the device including:
  • One or more processors are One or more processors;
  • Memory for storing one or more programs
  • the one or more processors When the one or more programs are executed by the one or more processors, the one or more processors implement the data visualization method according to any one of the embodiments of the present invention.
  • an embodiment of the present invention further provides a computer-readable storage medium.
  • the program is executed by a processor, the data visualization method according to any one of the embodiments of the present invention is implemented.
  • This application extracts the communication information of the target object from the stored event data, processes the communication information according to the preset rules, obtains the communication relationship table and the basic display value corresponding to each target object, and determines each according to the basic display value
  • FIG. 1 is a flowchart of steps in a data visualization method according to Embodiment 1 of the present invention.
  • FIG. 2 is a flowchart of steps in a data visualization method according to Embodiment 2 of the present invention.
  • Embodiment 2a is a visualization relationship diagram provided by Embodiment 2 of the present invention.
  • Embodiment 2b is a display diagram of communication information provided by Embodiment 2 of the present invention.
  • Embodiment 3 is a flowchart of steps of a data visualization device provided in Embodiment 3 of the present invention.
  • FIG. 4 is a schematic structural diagram of a device according to Embodiment 4 of the present invention.
  • FIG. 1 is a flowchart of steps of a data visualization method according to Embodiment 1 of the present invention. This embodiment can be applied to data visualization. The method can be executed by a data visualization device and can include the following steps:
  • Step 101 Obtain stored event data and extract communication information of each target object.
  • the event data may be pre-stored data related to the event, which may be Taobao, Tieba, WeChat, SMS, communication records and suspect personal information, etc.
  • the target object may be the person related to the event, which may include the suspect Persons, victims and informants and other related personnel
  • the communication information can be the record data generated by the communication of the target object, and can include WeChat chat records, QQ chat records, short messages and communication records and other information.
  • information such as WeChat chat records, QQ chat records, text messages, and communication records stored in the database with event data pre-stored in the target object can be searched for, such as searching for short messages based on the suspect’s mobile phone number recording.
  • Step 102 Process the communication information according to a preset rule, and determine a communication relationship table and a basic display value corresponding to each target object.
  • the preset rules can be preset in advance for processing communication information, which can include data cleaning, data integration, data transformation, and data protocol, etc., and can also include operation rules for obtaining communication relationship tables and basic display values ;
  • the communication relationship table can be a data table that stores the relationship between the target object and the communication object, and can include the identification numbers of the communication parties and the corresponding communication weight.
  • the communication weight can be determined by the degree of contact between the target object and the communication object, the longer the communication duration and the communication frequency The larger, the corresponding communication weight can be greater.
  • the communication relationship table can store the communication weight of the target object dual group and the corresponding target object dual group.
  • the target object dual group can be the target object and the communication object respectively Phone number or address, where the target object can be either the receiver or the sender, optionally, the communication relationship table can also store the sender and receiver and their corresponding communication times; the basic display value can be each target object
  • the generation parameters of the display graphics of can be determined by the communication information of each target object, for example, the more communication times between each target object, the larger the basic display value corresponding to the target object.
  • the communication information can be processed according to preset rules to obtain relevant data such as the identification numbers and communication times of both parties of the communication, and the corresponding communication relationship table and basic display can be generated according to the identification numbers and communication times of both parties of the communication. Value.
  • Step 103 Determine a display graphic corresponding to the target object according to each of the basic display values.
  • the display graphics may be graphics for characterizing the target object, and may include regular graphics and irregular graphics.
  • graphs of different sizes can be generated according to the acquired basic display value of each target object according to the size of the display value. For example, the larger the display value of the target object, the corresponding display graphic can use the display value as The radius generates a circle, and the generated circle is the display graphic corresponding to the target object. It can be understood that, according to the basic display value of each target object, it can correspond to display graphics of different sizes and different shapes, that is, different basic display values correspond to display graphics of different areas, display graphics of different shapes, or different areas and different shapes. Display graphics.
  • Step 104 Combine the display graphics according to the communication relationship table to generate a visual relationship diagram including the display graphics of each target object.
  • the visualization relationship graph may be a visualization graphic used to display the relationship between each target object.
  • the unique identification numbers of the target table object and other target objects can be found in the corresponding communication relationship table according to the communication relationship table generated by each target object to obtain the corresponding communication weight, and the corresponding display graphics can be generated according to the generated corresponding ,
  • the display graphics of the target object and the display graphics of other target objects are connected by line segments, the greater the communication weight, the wider the line segment between the display graphics of the target object and the display graphics of other target objects.
  • the visualization relationship may include, in addition to the display graphics of each target object, display graphics of communication objects that each target object communicates with, and may obtain a unique identifier of each communication object for the communication relationship table of the target object Number and corresponding communication weight, the communication display graphics are generated according to the unique identification number of the communication object, and the graphic area or shape can be a fixed value, and the communication display graphics and the target object display graphics can be connected by line segments according to the communication weight to generate Visualize the relationship diagram.
  • the communication information of the target object is extracted from the stored event data, and the communication information is processed according to a preset rule to obtain a communication relationship table and a basic display value corresponding to each target object.
  • the basic display value determines the display graphics corresponding to each target.
  • the communication relationship table corresponding to each target is combined to generate a visual relationship diagram containing each target object; the problem of decentralized and singular data display makes different targets The object's data association display improves the data display effect.
  • FIG. 2 is a flowchart of steps of a data visualization method provided in Embodiment 2 of the present invention. This embodiment is an optional solution based on the foregoing embodiments.
  • the data visualization method provided in this embodiment include:
  • Step 201 Acquire stored event data and extract communication information of each target object.
  • Step 202 Determine other target objects communicating with the target object according to the identification numbers of the two communication parties, and determine the contact weight between the target object and each of the other target objects.
  • the communication information includes: identification numbers of the two parties of the communication, communication time, number of communications, length of communication, and content of the communication.
  • the identification numbers of the two parties of communication may be the unique identifiers of the two parties involved in the communication Number, which can be a mobile phone number, name, ID number, software account, etc.
  • the communication time can be the time when the communication occurs
  • the number of communication can be the total number of communication of the same identification number of both parties
  • the length of communication can be the same identification number of both parties The total length of the communication time.
  • Other target objects may be other target objects related to the event obtained in step 201 in addition to the targeted target object.
  • the contact weight may be determined according to the number of communications, and the embodiment may include letters, numbers, and special Characters, etc.
  • the communication content can be the records generated during the communication process, which can include WeChat chat history, QQ chat history, SMS, Tieba chat history and phone records, etc.
  • the identification numbers of both communication parties for each target object it is possible to obtain the identification numbers of both communication parties for each target object, obtain the unique identification numbers of other target objects, and determine whether the unique identification numbers of other target objects appear in the identification numbers of both communication parties of the target object, if any
  • the number of communications between the two parties is determined according to the identification numbers of the two parties of communication, and the corresponding contact weight can be determined according to the number of communications. For example, the greater the number of communications, the greater the corresponding contact weight.
  • Step 203 Associate and store the other target objects and corresponding contact weights to form a communication relationship table that identifies the communication relationship between the target object and each of the other target objects.
  • the communication relationship table may be a data table that stores the unique identification numbers and corresponding contact weights of the target object and other target objects.
  • the communication relationship table may also store the unique identification numbers of other target objects. The unique identification number of the communication contact not selected as the target object in step 201.
  • the contact weight corresponding to the unique identification number of the target object and the unique identification numbers of other target objects may be stored, and the storage form may be in the form of a target object binary group, that is, one target object binary group corresponds to one
  • the contact weight for example, a piece of relationship data in the communication relationship table may be [Zhang San, Wang Wu]: 15.
  • Step 204 According to the communication information, determine a communication frequency and a communication keyword between the target object and each of the other target objects.
  • the communication frequency can be the total number of communication between the target and other communication objects within a period of time.
  • Zhang San and Wang Wu communicate five times in a day
  • Zhang San and Liu Er communicate in one day.
  • the number of times is three
  • Zhang San’s daily communication frequency is eight times.
  • the time period in the communication frequency may be a shorter time period such as one day and one week, or a longer time period such as one year and one quarter.
  • the communication keywords may be determined based on user experience or based on neural network algorithms.
  • Words related to the event identified in the communication content you can merge the communication content in the shorter event before obtaining the communication keywords, such as merging the short messages within five minutes, reducing the time complexity of extracting communication keywords, communication keywords It can be a word that characterizes the communication information content of the target object, for example, stealing and snatching.
  • the communication time for communicating with other target objects in the communication information is obtained, and for each communication time obtained, the communication frequency corresponding to the target object may be increased by 1. , Get the communication frequency corresponding to the target object, and determine the words related to the event according to user experience or according to the neural network algorithm in the communication content.
  • Step 205 Determine the basic display value of the target object according to the communication frequency, communication keywords and corresponding communication duration of each of the other target objects.
  • the basic display value can be a parameter used to generate display graphics for each target object, which can be determined by the communication frequency, communication keywords and communication duration in the communication information of each target object, for example, between each target object The greater the communication frequency of, the greater the basic display value corresponding to the target object.
  • the corresponding communication frequency, communication keyword, and corresponding communication duration can be obtained.
  • Corresponding thresholds can be set for the communication frequency, communication keyword, and communication duration, according to their corresponding different thresholds Determine the basic display value. Exemplarily, if the communication frequency is greater than 15, the corresponding threshold is 15. If the communication keyword is robbed, the corresponding threshold is 20. If the communication duration exceeds 15 minutes, the corresponding threshold is 8. Then combine The basic display value of communication frequency, communication keywords and communication duration is 43.
  • Step 206 Determine a display graphic corresponding to the target object according to each of the basic display values.
  • Step 207 Generate a target communication relationship table based on the communication relationship tables of the target objects.
  • the target communication relationship table may be a data table summarizing the communication relationship table of each target object, and the target object communication relationship table may include the target object binary and the corresponding effective contact weight.
  • the communication relationship table of each target object can be summarized according to the identification numbers of the two parties involved in the communication, and the contact weight can be added or subtracted to generate an effective contact weight.
  • duplicate data in the communication relationship table of each target object You can directly set the effective contact weight to the contact weight of one of the target objects.
  • target object A communicates with target object B. This communication exists in the communication relationship table between A and B. If the communication between A and B is directly The addition of contact weights will have the problem of double calculation. Therefore, when summarizing the communication relationship table of A and B, the corresponding contact weights of the identification numbers of the two parties of the communication are A and B.
  • the contact weight in the communication relationship table of A or the communication relationship table of B The weight is used as the effective link weight.
  • Step 208 Determine the target object binary group with the communication relationship and the corresponding effective contact weight in the target communication relationship table.
  • the target object binary may include the unique identification numbers of both parties involved in the communication.
  • the unique identification numbers of the two parties involved in the communication are Zhang San and Wang Wu respectively, then the target object dual may Yes [Zhang San, Wang Wu], the effective weight can be calculated by the contact weight corresponding to the identification numbers of the same communication parties in the communication relationship table of each target object.
  • the communication relationship table of each target object can have The contact weights corresponding to the identification numbers of the two parties of the same communication are added to obtain the effective weight.
  • the target object binary group in which the target object is located can be queried in the target communication relationship table according to the unique identification number of the target object, and the corresponding effective relationship weight can be determined according to the target object binary group.
  • the target object binary group including Zhang San may be [Zhang San, Liu Si] and [Wang Qi, Zhang San].
  • Step 209 Connect the display graphics of each target object in each of the target object duals, and use the corresponding effective contact weight as the connection weight of the corresponding connection to generate a visual relationship diagram containing each of the target objects.
  • the display graphic may be a display graphic corresponding to each target object generated in step 206, and may have different areas and shapes, and the connection weight may be a parameter that identifies the connection width. The greater the connection weight is the connection width Can be wider.
  • the display graphics and the connection weights can be determined according to the unique identification number according to the unique identification number and corresponding effective weight in the obtained target object binary group, and the display graphics corresponding to the target object can be performed using the connection Connection, the width of the connection can be positively correlated with the connection weight, the greater the connection weight, the wider the connection width, an optional way, the direction of the connection arrow can be determined by the unique identification number in the target object's tuple The order is determined.
  • the number of calls is used as the connection weight
  • the obtained target object duals are [Li Si, Zhang San], [Li Si, Wang Hong], [Wang Hong, Zhang San], [Wu Tu, Wang Hong ], [Zhang San, Wang Er], [Wang Er, Zhang Fei], [Zhang Fei, Liu Bei], [Liu Wei, Liu Bei], [Liu Wei, Zhang Fei], [Liu Wei, Wang Hong], then generate The visual relationship diagram of can be shown in Figure 2a.
  • the connecting arrow represents the direction representing the communication direction.
  • Step 210 Graphically display the identification numbers, communication time, communication times, communication duration, communication frequency, and communication keywords of the two communication parties associated with the target object.
  • pie charts, line charts, and bar charts may be used to obtain communication information such as the identification numbers, communication time, communication times, communication duration, communication frequency, and communication keywords of each target object based on each The target object is displayed graphically. For example, as shown in FIG. 2b, you can use different pie charts and line charts for the identification numbers, communication times, communication times, communication duration, communication frequency, and communication keywords of both parties of the same target object. It is displayed on the same page as the display charts such as bar charts.
  • the display method can include counting the frequency of communication keyword words according to a preset time period, which can be year, month, week, and hour. And display the communication keyword word frequency according to the preset time period.
  • the keywords belonging to the stop word in the communication keywords can be eliminated, and the communication keywords of this type are not displayed.
  • the communication data of the target object may be obtained, the communication attribution of the communication object stored therein may be obtained, and the communication attribution may be marked in a satellite map.
  • the communication attribution may be marked in a satellite map.
  • the technical solution of this embodiment extracts the communication information of the target object from the stored event data, extracts the identification numbers, communication time, communication times, communication time, and communication content of the two parties, according to the communication frequency, communication content and communication
  • the duration determines the basic display value, generates a communication relationship table based on the identification numbers of the two parties, and generates a display graphic corresponding to each target object based on the basic display value.
  • the communication relationship table generates the target communication relationship table, combining the display graphic of each target object and the target communication relationship table
  • the target object duals and effective connection weights in the figure determine the connection relationship and line width of each display graphic, and finally form a visualization relationship diagram containing the display graphics of each target object.
  • the visualization graphic is determined The area and the connection relationship make the communication relationship between each target object directly present, which is convenient for users to understand the content displayed by the visual graphics and improve the display effect of the data.
  • the determining of the basic display value of the target object based on the communication frequency, communication keywords, and corresponding communication duration of each of the other target objects includes:
  • the basic display value of the target object is determined in the preset basic value relationship table according to the relationship label.
  • the relationship label may be a data label generated by a user based on experience or using an artificial intelligence algorithm.
  • the relationship label may be pre-set with different label contents, which may include intimacy, strangeness, importance, generality, and non-importance.
  • the relationship label may Generated based on communication frequency, communication duration, and communication keywords respectively, and can also be generated based on communication frequency, communication duration, and communication keywords;
  • the preset basic value relationship table can be a pre-set stored relationship label and basic display value correspondence For a related data table, for example, if the data label is important, then the basic display value corresponding to the number label can be 20.
  • communication information such as the corresponding communication frequency, communication duration, and communication keywords can be obtained.
  • the user generates a data tag corresponding to the communication information according to experience or using an artificial intelligence algorithm.
  • the set data table storing the correspondence between the relationship label and the basic display value searches for the corresponding basic display value, and uses the obtained basic display value as the basic display value corresponding to each target object.
  • the data visualization device provided in this embodiment of the present invention can perform the data visualization method provided in any embodiment of the present application, and has the corresponding functions of the execution method. Modules and beneficial effects.
  • the data visualization device provided in this embodiment includes: a communication information acquisition module 301, an information processing module 302, a display graphics determination module 303, and a relationship graph generation module 304.
  • the communication information acquisition module 301 is configured to acquire stored event data and extract communication information of each target object.
  • the information processing module 302 is configured to process the communication information according to a preset rule, and determine a communication relationship table and a basic display value corresponding to each target object.
  • the display graphics determining module 303 is configured to determine the display graphics corresponding to the target object according to each of the basic display values.
  • the relationship graph generating module 304 is configured to generate a visual relationship graph including the display graphics of each target object according to the communication relationship table in combination with the display graphics.
  • the communication information of the target object is extracted from the stored event data through the communication information acquisition module, and the information processing module processes the communication information according to preset rules to obtain the communication relationship table and foundation corresponding to each target object Display value, the display graphics determination module determines the display graphics corresponding to each target according to the basic display value, and the relationship graph generation module combines the communication relationship table corresponding to each target on the basis of each display graphic to generate a visual relationship graph containing each target object ;
  • the communication information includes: identification numbers of both parties to the communication, communication time, number of communication, communication duration, and communication content;
  • the information processing module includes:
  • the contact weight confirmation unit is set for each target object's communication information, according to the identification numbers of both parties to the communication, determine other target objects to communicate with the target object, and determine the target object and each of the other targets The contact weight of the object.
  • the communication relationship table generating unit is configured to store the other target objects and corresponding contact weights in association to form a communication relationship table that identifies the communication relationship between the target object and each of the other target objects.
  • the communication information statistical unit is configured to determine the communication frequency and communication keywords of the target object and each of the other target objects based on the communication information.
  • the display value determination unit is configured to determine the basic display value of the target object according to the communication frequency, communication keywords and corresponding communication duration of each of the other target objects.
  • the relationship graph generation module includes:
  • the target relationship table generating unit is configured to generate the target communication relationship table based on the communication relationship tables of each of the target objects.
  • the effective weight determining unit is configured to determine a target object dual group having a communication relationship in the target communication relationship table and a corresponding effective contact weight.
  • the relationship graph generating unit is configured to connect the display graphics of each target object in each of the target object duals, and use the corresponding effective contact weight as the connection weight of the corresponding connection to generate a link containing each of the target objects Visualize the relationship diagram.
  • the device further includes: a communication information display module.
  • the communication information display module graphically displays the identification numbers, communication time, communication times, communication duration, communication frequency and communication keywords of both parties of communication associated with the target object.
  • the display value determining unit includes:
  • the relationship label determination subunit is configured to determine the relationship label of the communication information according to the communication frequency, communication duration and communication keywords.
  • the numerical value determining subunit is configured to determine the basic display numerical value of the target object in the preset basic numerical value relationship table according to the relationship label.
  • FIG. 4 is a schematic structural diagram of a device according to Embodiment 4 of the present invention.
  • the device includes a processor 70, a memory 71, an input device 72, and an output device 73; the number of processors 70 in the device may be One or more, one processor 70 is taken as an example in FIG. 4; the processor 70, the memory 71, the input device 72, and the output device 73 in the device may be connected through a bus or other means, and FIG. 4 is taken as an example through a bus connection .
  • the memory 71 as a computer-readable storage medium can be used to store software programs, computer executable programs, and modules, such as program modules corresponding to the data visualization method in the embodiments of the present invention (for example, the data visualization device includes: a communication information acquisition module 301, information processing module 302, display graphics determination module 303, and relationship graph generation module 304).
  • the processor 70 executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in the memory 71, that is, implementing the data visualization method described above.
  • the memory 71 may mainly include a storage program area and a storage data area, where the storage program area may store an operating system and application programs required for at least one function; the storage data area may store data created according to the use of the terminal, and the like.
  • the memory 71 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device.
  • the memory 71 may include memories remotely provided with respect to the processor 70, and these remote memories may be connected to the device through a network. Examples of the aforementioned networks include the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the input device 72 can be used to receive input digital or character information, and generate key signal input related to user settings and function control of the device.
  • the output device 73 may include a display device such as a display screen.
  • Embodiment 5 of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor are used to perform a data visualization method, the method including:
  • a visual relationship diagram including the display graphics of each target object is generated.
  • a storage medium containing computer-executable instructions provided by an embodiment of the present invention can also perform related operations in the data visualization method provided by any embodiment of the present application.

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Abstract

一种数据可视化方法、装置、设备和介质。所述方法包括：获取存储的事件数据，提取各目标对象的通讯信息（101）；根据预设规则处理所述通讯信息，确定对应各所述目标对象的通讯关系表和基础展示数值（102）；根据各所述基础展示数值确定对应目标对象的展示图形（103）；根据所述通讯关系表结合所述展示图形，生成包含每个所述目标对象展示图形的可视化关系图（104）。

Description

数据可视化方法、装置、设备和介质
本公开要求在2018年12月28日提交中国专利局、申请号为201811627551.5的中国专利申请的优先权，以上申请的全部内容通过引用结合在本公开中。
技术领域
本发明实施例涉及数据处理技术领域，例如涉及一种数据展示方法、装置、设备和介质。
背景技术
互联网时代的到来为当今警务实战提出了新的要求，警务数据在数据量和维度等方面日益增长，面对繁杂的数据，用户无法快速有效的识别到重要信息。
数据可视化展示方式为上述问题提供了理想的解决方案，可以通过利用柱形图和折线图等对数据进行展示，但是该种展示方式存在数据展示分散化、单一化的问题，导致各数据孤立展示，用户不能直观的感受到数据间联系，降低了数据展示效果。
发明内容
本申请提供一种数据可视化方法、装置、设备和介质，以实现不同对象数据的关联展示，提高数据展示效果。
第一方面，本发明实施例提供了一种数据可视化方法，该方法包括：
获取存储的事件数据，提取目标对象的通讯信息；
根据预设规则处理所述通讯信息，确定对应每个所述目标对象的通讯关系表和基础展示数值；
根据每个所述基础展示数值确定对应目标对象的展示图形；
根据所述通讯关系表结合所述展示图形，生成包含每个所述目标对象展示图形的可视化关系图。
第二方面，本发明实施例还提供了一种数据可视化装置，该装置包括：
通讯信息获取模块，被设置为获取存储的事件数据，提取目标对象的通讯信息；
信息处理模块，被设置为根据预设规则处理所述通讯信息，确定对应每个所述目标对象的通讯关系表和基础展示数值；
展示图形确定模块，被设置为根据每个所述基础展示数值确定对应目标对象的展示图形；
关系图生成模块，被设置为根据所述通讯关系表结合所述展示图形，生成包含每个所述目标对象展示图形的可视化关系图。
第三方面，本发明实施例还提供了一种设备，所述设备包括：
一个或多个处理器；
存储器，用于存储一个或多个程序，
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如本发明实施例中任一所述的数据可视化方法。
第四方面，本发明实施例还提供了一种计算机可读存储介质，该程序被处理器执行时实现如本发明实施例中任一所述的数据可视化方法。
本申请通过在存储的事件数据中提取到目标对象的通讯信息，根据预设规则对该通讯信息进行处理，获取对应各目标对象的通讯关系表和基础展示数值，根据所述基础展示数值确定各目标对应的展示图形，在各展示图形的基础上结果各目标对应的通讯关系表，生成包含各目标对象的可视化关系图；数据展示分散化、单一化的问题，使得不同目标对象的数据关联展示，提高了数据展示效果。
附图说明
图1是本发明实施例一提供的一种数据可视化方法的步骤流程图；
图2是本发明实施例二提供的一种数据可视化方法的步骤流程图；
图2a是本发明实施例二提供的一种可视化关系图；
图2b是本发明实施例二提供的一种通讯信息展示图；
图3是本发明实施例三提供的一种数据可视化装置的步骤流程图；
图4是本发明实施例四提供的一种设备的结构示意图。
具体实施方式
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅用于解释本申请，而非对本申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
实施例一
图1是本发明实施例一提供的一种数据可视化方法的步骤流程图，本实施例可适用于数据可视化的情况，该方法可以由数据可视化装置来执行，可以包括如下步骤：
步骤101、获取存储的事件数据，提取各目标对象的通讯信息。
需要说明的是，事件数据可以是预先存储的与事件相关的数据，可以是淘宝、贴吧、微信、短信、通讯记录和嫌疑人个人信息等，目标对象可以是与事件相关的人，可以包括嫌疑人、受害人和报案人等相关人员，通讯信息可以是目标对象进行通讯而产生的记录数据，可以包括微信聊天记录、QQ聊天记录、短信和通讯记录等信息。
在一些实施例中，可以在预存有事件数据的数据库中，以目标对象为关键字搜索其中存储的微信聊天记录、QQ聊天记录、短信和通讯记录等信息，例如根据嫌疑人的手机号码搜索短信记录。
步骤102、根据预设规则处理所述通讯信息，确定对应各所述目标对象的通讯关系表和基础展示数值。
需要说明的是，预设规则可以提前预设的用于处理通讯信息的规则，可以包括数据清洗、数据集成、数据变换和数据规约等，还可以包括获取通讯关系表和基础展示数值的操作规则；通讯关系表可以是存储有目标对象和通讯对象联系关系的数据表，可以包括通讯双方的标识号和对应通讯权重，通讯权重可以目标对象和通讯对象联系程度决定，通讯时长越长和通讯频率越大，对应通讯权重可以越大，例如，通讯关系表可以存储目标对象二元组和对应目标对象二元组的通讯权重的形式存在，目标对象二元组中可以分别是目标对象和通讯对象的电话号码或称呼，其中目标对象可以为接收方也可以为发送方，可选的，通讯关系表还可以分别存储发送方和接收方及其对应的通讯次数；基础展示数值可以是各目标对象的展示图形的生成参数，可以分别由各目标对象的通讯信息确定，例如，各目标对象之间的通讯次数越多，则目标对象对应的基础展示数值则越大。
在一些实施例中，可以根据预先设定的规则对通讯信息进行处理，获取通讯双方的标识号和通讯次数等相关数据，依据通讯双方标识号和通讯次数分别生成对应的通讯关系表和基础展示数值。
步骤103、根据各所述基础展示数值确定对应目标对象的展示图形。
需要说明的是，展示图形可是用于表征目标对象的图形，可以包括规则图形和不规则图形。
在一些实施例中，可以根据获取到的各目标对象的基础展示数值，根据展示数值的大小生成不同大小的图形，例如目标对象的展示数值越大，则其对应的展示图形可以以展示数值为半径生成圆形，生成的圆形则为目标对象对应的展示图形。可以理解的是，根据各目标对象的基础展示数值可以对应不同大小面积、不同形状的展示图形，即不同的基础展示数值对应不同面积的展示图形、不同形状的展示图形或者是不同面积且不同形状的展示图形。
步骤104、根据所述通讯关系表结合所述展示图形，生成包含各所述目标对象展示图形的可视化关系图。
需要说明的是，可视化关系图可以是用于展示各目标对象之间关系的可视化图形。
在一些实施例中，可以根据各目标对象生成的通讯关系表，在其对应的通讯关系表中查找目标表对象和其他目标对象的唯一标识号获取对应的通讯权重，根据已经生成的对应展示图形，将目标对象的展示图形和其他目标对象的展示图形使用线段进行连接，通讯权重越大，那么目标对象展示图形和其他目标对象展示图形之间的线段越宽。
一种可选的实施方式，可视化关系除包含各目标对象的展示图形外，还可以包括各目标对象进行通讯的通讯对象的展示图形，可以针对目标对象的通讯关系表获取各通讯对象的唯一标识号和对应的通讯权重，根据通讯对象的唯一标识号生成通讯展示图形，其图形面积或形状可以为固定值，可以根据通讯权重将各通讯展示图形和目标对象的展示图形使用线段连接，以生成可视化关系图。
本实施例的技术方案，通过在存储的事件数据中提取到目标对象的通讯信息，根据预设规则对该通讯信息进行处理，获取对应各目标对象的通讯关系表和基础展示数值，根据所述基础展示数值确定各目标对应的展示图形，在各展示图形的基础上结合各目标对应的通讯关系表，生成包含各目标对象的可视化关系图；数据展示分散化、单一化的问题，使得不同目标对象的数据关联展示，提高了数据展示效果。
实施例二
图2是本发明实施例二提供的一种数据可视化方法的步骤流程图，本实施 例是在上述实施例的基础上的一种可选方案，参见图2，本实施例提供的数据可视化方法包括：
步骤201、获取存储的事件数据，提取各目标对象的通讯信息。
步骤202、根据所述通讯双方标识号，确定与所述目标对象进行通讯的其他目标对象，并确定所述目标对象与各所述其他目标对象的联系权重。
在一些实施例中，所述通讯信息包括：通讯双方标识号、通讯时间、通讯次数、通讯时长和通讯内容，针对每个目标对象的通讯信息，通讯双方标识号可以是参与通讯双方的唯一标识号，可以是手机号、姓名、身份证号和软件账号等，通讯时间可以是发生通讯的时间，通讯次数可以是同一通讯双方标识号的通讯总次数，通讯时长可以是同一通讯双方标识号进行通讯的时间总长度，其他目标对象可以是除针对的目标对象之外的步骤201中获取的其他涉及事件的目标对象，联系权重可以是根据通讯次数确定数值，体现形式可以包括字母、数字和特殊字符等，通讯内容可以是通讯过程产生的记录，可以包括微信聊天记录、QQ聊天记录、短信、贴吧聊天记录和电话记录等。
在一些实施例中，可以针对每个目标对象的获取通讯双方标识号，获取其他目标对象的唯一标识号，判断其他目标对象的唯一标识号是否出现在目标对象的通讯双方标识号中，若存在根据通讯双方标识号确定双方之间的通讯次数，可以根据通讯次数确定对应的联系权重，例如通讯次数越多对应的联系权重越大。
步骤203、关联存储所述其他目标对象及对应的联系权重，形成标识所述目标对象与各所述其他目标对象通讯关系的通讯关系表。
需要说明的是，通讯关系表可以是存储有目标对象和其他目标对象唯一标识号和对应联系权重的数据表，可选的，通讯关系表除存储和其他目标对象的唯一标识号外还可以存储有未在步骤201中选定为目标对象的通讯联系人的唯一标识号。
在一些实施例中，可以将目标对象的唯一标识号和其他目标对象的唯一标识号对应的联系权重进行存储，存储形式可以是目标对象二元组的形式，即一个目标对象二元组对应一个联系权重，示例性的，通讯关系表中的一条关系数据可以是[张三,王五]：15。
步骤204、根据所述通讯信息，确定所述目标对象与各所述其他目标对像的通讯频次和通讯关键字。
需要说明的是，通讯频次可以是目标对象与其他通讯对象一段时间内发生通讯的总次数，例如，张三和王五在一天内通讯的次数为五次、张三和刘二在一天内通讯的次数为三次，则张三的一天的通讯频次为八次。可以理解的是，通讯频次中的时间段可以是较短时间段如一天和一周，也可以是较长时间段如一年和一季度，通讯关键字可以是根据用户经验确定或者根据神经网络算法在通讯内容中确定的与事件相关的字词，获取通讯关键字之前可以合并较短事件内的通讯内容，例如将五分钟内的短信进行合并，降低提取通讯关键字的时间复杂度，通讯关键字可以是表征目标对象通讯信息内容的字词，例如，偷和抢等。
在一些实施例中，针对步骤201中选取的每个目标对象，获取其通讯信息中的与其他目标对象进行通讯的通讯时间，每获取到一个通讯时间，可以将目标对象对应的通讯频次加1，获取对应目标对象的通讯频次，根据用户经验确定或者根据神经网络算法在通讯内容中确定的与事件相关的字词。
步骤205、根据各所述其他目标对象的通讯频次、通讯关键字及对应的通讯时长，确定所述目标对象的基础展示数值。
需要说明的是，基础展示数值可以是用于各目标对象生成展示图形的参数，可以分别由各目标对象的通讯信息中的通讯频次、通讯关键字和通讯时长确定，例如，各目标对象之间的通讯频次越大，则目标对象对应的基础展示数值则越大。
在一些实施例中，可以针对各目标对象，获取其对应的通讯频次、通讯关键字及对应的通讯时长，可以为通讯频次、通讯关键字和通讯时长设置对应的阈值，根据其对应的不同阈值确定基础展示数值，示例性的，通讯频次大于15则其对应的阈值为15，通讯关键字出现盗抢，则其对应阈值为20，通讯时长超过15分钟，则其对应阈值为8，那么结合通讯频次、通讯关键字和通讯时长的基础展示数值为43。
步骤206、根据各所述基础展示数值确定对应目标对象的展示图形。
步骤207、基于各所述目标对象的通讯关系表，生成目标通讯关系表。
需要说明的是，目标通讯关系表可以是汇总各目标对象的通讯关系表生的数据表，目标对象通讯关系表可以包括目标对象二元组和对应的有效联系权重。
在一些实施例中，可以将各目标对象的通讯关系表按照参与通讯的双方标识号进行汇总，对应加减联系权重以生成有效联系权重，可选的，各目标对象 通讯关系表中重复的数据，可以直接将有效联系权重设置为其中一目标对象的联系权重，示例性，目标对象甲和目标对象乙进行通讯，甲和乙的通讯关系表中均存在该通讯，若直接将甲和乙的联系权重相加会存在重复计算的问题，因此在汇总甲和乙的通讯关系表时，通讯双方标识号为甲和乙的对应联系权重可以将甲通讯关系表中或乙通讯关系表中的联系权重作为有效联系权重。
步骤208、确定所述目标通讯关系表中具备通讯关系的目标对象二元组及对应的有效联系权重。
需要说明的是，目标对象二元组可以是包括存有参与通信双方唯一标识号，示例性的，若参与通信的双方的唯一标识号分别为张三和王五，那么目标对象二元组可以是[张三,王五]，有效权重可以根据各目标对象的通讯关系表中具有同一通讯双方标识号对应的联系权重通过计算得到，示例性的，可以将各目标对象的通讯关系表中具有同一通讯双方标识号对应的联系权重相加得到有效权重。
在一些实施例中，针对每个目标对象。可以在其目标通信关系表中根据该目标对象的唯一标识号查询其所在的目标对象二元组，根据目标对象二元组确定对应的有效关系权重。示例性的，若目标对象张三的唯一标识号为张三，那么包括张三的目标对象二元组可以为[张三，刘四]和[王七，张三]。
步骤209、连线各所述目标对象二元组中各目标对象的展示图形，并将对应的有效联系权重作为相应连线的连线权重，生成包含各所述目标对象的可视化关系图。
需要说明的是，展示图形可以是步骤206中生成的对应各目标对象的展示图形，可以具有不同的面积和形状，连线权重可以是标识连线宽度的参数，连线权重越大连线宽度可以越宽。
在一些实施例中，可以根据获取到的目标对象二元组内的唯一标识号和对应的有效权重，根据唯一标识号确定展示图形和连线权重，使用连线将目标对象对应的展示图形进行连接，连线的宽度可以与连线权重呈正相关，连线权重越大，连线宽度越宽，一种可选的方式，连线箭头的方向可以由目标对象二元组内的唯一标识号先后顺序确定。
示例性的，将通话次数作为连线权重，获取的目标对象二元组为[李四，张三]、[李四，王红]、[王红，张三]、[吴图，王红]、[张三，王二]，[王二,张飞],[张飞，刘备]，[刘伟，刘备]、[刘伟，张飞]、[刘伟，王红]，那么生成的可视化关系图可以如图2a所示，连线箭头代表方向代表通讯方向，王红的展示图形连线 到张三的展示图形，那么代表王红主动向张三进行通讯。
步骤210、图像化展示与目标对象关联的通讯双方标识号、通讯时间、通讯次数、通讯时长、通讯频次和通讯关键字。
在一些实施例中，可以使用饼图、折线图和条形图对获取到的各目标对象的通讯双方标识号、通讯时间、通讯次数、通讯时长、通讯频次和通讯关键字等通讯信息基于各目标对象进行图形展示，示例性的，如图2b所示，可以将同一目标对象的通讯双方标识号、通讯时间、通讯次数、通讯时长、通讯频次和通讯关键字使用不同的饼图、折线图和条形图等展示图展示在同一页面，以通讯关键字展示为例，展示方式可以包括按照预设时间段统计通讯关键字词频，预设时间段可以是年、月、周和小时等，并根据预设时间段将通讯关键字词频进行展示，可选的，可以剔除通讯关键字中属于停止词的关键字，不对该类通讯关键字进行展示。
在一些实施例中，可以获取目标对象的通讯数据，获取其中存储的通讯对象的通讯归属地，可以将该通讯归属地标记在卫星地图中，卫星地图存在不同的缩放级别，不同缩放级别的卫星地图可以标记不同数量的通讯归属地，卫星地图越大，标记处对应的通讯对象的数量越多。
本实施例的技术方案，通过在存储的事件数据中提取到目标对象的通讯信息，提取通讯双方标识号、通讯时间、通讯次数、通讯时长和通讯内容等内容，根据通讯频次、通讯内容和通讯时长确定基础展示数值，根据通讯双方标识号生成通讯关系表，依据基础展示数值生成对应各目标对象的展示图形，通讯关系表生目标通讯关系表，结合各目标对象的展示图形和目标通讯关系表中的目标对象二元组和有效联系权重确定各展示图形的连接关系和连线线宽，最终形成包含各目标对象展示图形的可视化关系图，通过对各目标对象通讯信息的处理，确定可视化图形的面积和连接关系，使得各目标对象之间的通讯关系直接呈现，便于用户理解可视化图形所展示的内容，提高了数据的展示效果。
在上述实施示例的基础上，所述根据各所述其他目标对象的通讯频次、通讯关键字及对应的通讯时长，确定所述目标对象的基础展示数值，包括：
根据所述通讯频次、通讯时长和通讯关键字确定通讯信息的关系标签；
根据所述关系标签在预置基础数值关系表中确定目标对象的基础展示数值。
在一些实施例中，关系标签可以是用户根据经验或者使用人工智能算法生成的数据标签，关系标签可以预先设置好不同标签内容，可包括亲密、陌生、 重要、一般、不重要等，关系标签可以分别根据通讯频次、通讯时长和通讯关键字生成，也可以根据通讯频次、通讯时长和通讯关键字共同生成；预置基础数值关系表可以是预先设定好的存储有关系标签和基础展示数值对应关系的数据表，例如，数据标签为重要，那么该数标签对应的基础展示数值可以为20。
在一些实施例中，针对各目标对象，可以获取对应的通讯频次、通讯时长和通讯关键字等通讯信息，用户根据经验或者使用人工智能算法生成对应通讯信息的数据标签，根据数据标签可以在预设的存储有关系标签和基础展示数值对应关系的数据表查找对应的基础展示数值，将获取到的基础展示数值作为各目标对象对应的基础展示数值。
实施例三
图3是本发明实施例三提供的一种数据可视化装置的步骤流程图，本发明实施例所提供的数据可视化装置可执行本申请任意实施例所提供的数据可视化方法，具备执行方法相应的功能模块和有益效果。参见图3，本实施例提供的数据可视化装置包括：通讯信息获取模块301、信息处理模块302、展示图形确定模块303和关系图生成模块304。
其中，通讯信息获取模块301，被设置为获取存储的事件数据，提取各目标对象的通讯信息。
信息处理模块302，被设置为根据预设规则处理所述通讯信息，确定对应各所述目标对象的通讯关系表和基础展示数值。
展示图形确定模块303，被设置为根据各所述基础展示数值确定对应目标对象的展示图形。
关系图生成模块304，被设置为根据所述通讯关系表结合所述展示图形，生成包含各所述目标对象展示图形的可视化关系图。
本实施的技术方案，通过通讯信息获取模块在存储的事件数据中提取到目标对象的通讯信息，信息处理模块根据预设规则对该通讯信息进行处理，获取对应各目标对象的通讯关系表和基础展示数值，展示图形确定模块根据所述基础展示数值确定各目标对应的展示图形，关系图生成模块在各展示图形的基础上结合各目标对应的通讯关系表，生成包含各目标对象的可视化关系图；数据展示分散化、单一化的问题，使得不同目标对象的数据关联展示，提高了数据展示效果。
在一些实施例中，所述通讯信息包括：通讯双方标识号、通讯时间、通讯 次数、通讯时长和通讯内容；
相应的，所述信息处理模块包括：
联系权重确认单元，被设置为针对每个目标对象的通讯信息，根据所述通讯双方标识号，确定与所述目标对象进行通讯的其他目标对象，并确定所述目标对象与各所述其他目标对象的联系权重。
通讯关系表生成单元，被设置为关联存储所述其他目标对象及对应的联系权重，形成标识所述目标对象与各所述其他目标对象通讯关系的通讯关系表。
通讯信息统计单元，被设置为根据所述通讯信息，确定所述目标对象与各所述其他目标对像的通讯频次和通讯关键字。
展示数值确定单元，被设置为根据各所述其他目标对象的通讯频次、通讯关键字及对应的通讯时长，确定所述目标对象的基础展示数值。
在一些实施例中，所述关系图生成模块包括：
目标关系表生成单元，被设置为基于各所述目标对象的通讯关系表，生成目标通讯关系表。
有效权重确定单元，被设置为确定所述目标通讯关系表中具备通讯关系的目标对象二元组及对应的有效联系权重。
关系图生成单元，被设置为连线各所述目标对象二元组中各目标对象的展示图形，并将对应的有效联系权重作为相应连线的连线权重，生成包含各所述目标对象的可视化关系图。
在一些实施例中，所述装置还包括：通讯信息展示模块。
通讯信息展示模块，图像化展示与目标对象关联的通讯双方标识号、通讯时间、通讯次数、通讯时长、通讯频次和通讯关键字。
在一些实施例中，所述展示数值确定单元，包括：
关系标签确定子单元，被设置为根据所述通讯频次、通讯时长和通讯关键字确定通讯信息的关系标签。
数值确定子单元，被设置为根据所述关系标签在预置基础数值关系表中确定目标对象的基础展示数值。
实施例四
图4是本发明实施例四提供的一种设备的结构示意图，如图4所示，该设备包括处理器70、存储器71、输入装置72和输出装置73；设备中处理器70的数量可以是一个或多个，图4中以一个处理器70为例；设备中的处理器70、存 储器71、输入装置72和输出装置73可以通过总线或其他方式连接，图4中以通过总线连接为例。
存储器71作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序以及模块，如本发明实施例中的数据可视化方法对应的程序模块(例如，数据可视化装置包括：通讯信息获取模块301、信息处理模块302、展示图形确定模块303和关系图生成模块304)。处理器70通过运行存储在存储器71中的软件程序、指令以及模块，从而执行设备的各种功能应用以及数据处理，即实现上述的数据可视化方法。
存储器71可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端的使用所创建的数据等。此外，存储器71可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中，存储器71可包括相对于处理器70远程设置的存储器，这些远程存储器可以通过网络连接至设备。上述网络的实例包括互联网、企业内部网、局域网、移动通信网及其组合。
输入装置72可用于接收输入的数字或字符信息，以及产生与设备的用户设置以及功能控制有关的键信号输入。输出装置73可包括显示屏等显示设备。
实施例五
本发明实施例五还提供一种包含计算机可执行指令的存储介质，所述计算机可执行指令在由计算机处理器执行时用于执行一种数据可视化方法，该方法包括：
获取存储的事件数据，提取各目标对象的通讯信息；
根据预设规则处理所述通讯信息，确定对应各所述目标对象的通讯关系表和基础展示数值；
根据各所述基础展示数值确定对应目标对象的展示图形；
根据所述通讯关系表结合所述展示图形，生成包含各所述目标对象展示图形的可视化关系图。
当然,本发明实施例所提供的一种包含计算机可执行指令的存储介质,其计算机可执行指令，还可以执行本申请任意实施例所提供的数据可视化方法中的相关操作。
通过以上关于实施方式的描述，所属领域的技术人员可以清楚地了解到， 本申请可借助软件及必需的通用硬件来实现，当然也可以通过硬件实现，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如计算机的软盘、只读存储器(Read-Only Memory,ROM)、随机存取存储器(Random Access Memory,RAM)、闪存(FLASH)、硬盘或光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述的方法。
值得注意的是，上述数据可视化装置的实施例中，所包括的各个单元和模块只是按照功能逻辑进行划分的，但并不局限于上述的划分，只要能够实现相应的功能即可；另外，各功能单元的名称也只是为了便于相互区分，并不用于限制本申请的保护范围。

Claims (10)

  1. 一种数据可视化方法，包括：
    获取存储的事件数据，提取目标对象的通讯信息；
    根据预设规则处理所述通讯信息，确定对应每个所述目标对象的通讯关系表和基础展示数值；
    根据每个所述基础展示数值确定对应目标对象的展示图形；
    根据所述通讯关系表结合所述展示图形，生成包含每个所述目标对象展示图形的可视化关系图。
  2. 根据权利要求1所述的方法，其中，所述通讯信息包括：通讯双方标识号、通讯时间、通讯次数、通讯时长和通讯内容；
    相应的，所述根据预设规则处理所述通讯信息，确定对应每个所述目标对象的通讯关系表和基础展示数值包括：
    针对每个目标对象的通讯信息，根据所述通讯双方标识号，确定与所述目标对象进行通讯的其他目标对象，并确定所述目标对象与每个所述其他目标对象的联系权重；
    关联存储所述其他目标对象及对应的联系权重，形成标识所述目标对象与每个所述其他目标对象通讯关系的通讯关系表；
    根据所述通讯信息，确定所述目标对象与每个所述其他目标对像的通讯频次和通讯关键字；
    根据每个所述其他目标对象的通讯频次、通讯关键字及对应的通讯时长，确定所述目标对象的基础展示数值。
  3. 根据权利要求2所述的方法，其中，所述根据所述通讯关系表结合所述展示图形，生成包含每个所述目标对象展示图形的可视化关系图，包括：
    基于每个所述目标对象的通讯关系表，生成目标通讯关系表；
    确定所述目标通讯关系表中具备通讯关系的目标对象二元组及对应的有效联系权重；
    连线每个所述目标对象二元组中每个目标对象的展示图形，并将对应的有效联系权重作为相应连线的连线权重，生成包含每个所述目标对象的可视化关系图。
  4. 根据权利要求2所述的方法，所述方法还包括：
    图像化展示与目标对象关联的通讯双方标识号、通讯时间、通讯次数、通讯时长、通讯频次和通讯关键字。
  5. 根据权利要求2所述的方法，其中，所述根据每个所述其他目标对象的通讯频次、通讯关键字及对应的通讯时长，确定所述目标对象的基础展示数值，包括：
    根据所述通讯频次、通讯时长和通讯关键字确定通讯信息的关系标签；
    根据所述关系标签在预置基础数值关系表中确定目标对象的基础展示数值。
  6. 一种数据可视化装置，包括：
    通讯信息获取模块，被设置为获取存储的事件数据，提取目标对象的通讯信息；
    信息处理模块，被设置为根据预设规则处理所述通讯信息，确定对应每个所述目标对象的通讯关系表和基础展示数值；
    展示图形确定模块，被设置为根据每个所述基础展示数值确定对应目标对象的展示图形；
    关系图生成模块，被设置为根据所述通讯关系表结合所述展示图形，生成包含每个所述目标对象展示图形的可视化关系图。
  7. 根据权利要求6所述的装置，其中，所述通讯信息包括：通讯双方标识号、通讯时间、通讯次数、通讯时长和通讯内容；
    相应的，所述信息处理模块包括：
    联系权重确认单元，被设置为针对每个目标对象的通讯信息，根据所述通讯双方标识号，确定与所述目标对象进行通讯的其他目标对象，并确定所述目标对象与每个所述其他目标对象的联系权重；
    通讯关系表生成单元，被设置为关联存储所述其他目标对象及对应的联系权重，形成标识所述目标对象与每个所述其他目标对象通讯关系的通讯关系表；
    通讯信息统计单元，被设置为根据所述通讯信息，确定所述目标对象与每个所述其他目标对像的通讯频次和通讯关键字；
    展示数值确定单元，被设置为根据每个所述其他目标对象的通讯频次、通讯关键字及对应的通讯时长，确定所述目标对象的基础展示数值。
  8. 根据权利要求7所述的装置，其中，所述关系图生成模块包括：
    目标关系表生成单元，被设置为基于每个所述目标对象的通讯关系表，生成目标通讯关系表；
    有效权重确定单元，被设置为确定所述目标通讯关系表中具备通讯关系的目标对象二元组及对应的有效联系权重；
    关系图生成单元，被设置为连线每个所述目标对象二元组中每个目标对象的展示图形，并将对应的有效联系权重作为相应连线的连线权重，生成包含每个所述目标对象的可视化关系图。
  9. 一种设备，所述设备包括：
    一个或多个处理器；
    存储器，用于存储一个或多个程序，
    当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-5中任一所述的数据可视化方法。
  10. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如权利要求1-5中任一所述的数据可视化方法。
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Publication number Priority date Publication date Assignee Title
CN109766484B (zh) * 2018-12-28 2021-06-01 苏州龙信信息科技有限公司 数据可视化方法、装置、设备和介质
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130103677A1 (en) * 2011-10-25 2013-04-25 International Business Machines Corporation Contextual data visualization
CN108710520A (zh) * 2018-05-11 2018-10-26 中国联合网络通信集团有限公司 数据的可视化方法、装置、终端及计算机可读存储介质
CN109766484A (zh) * 2018-12-28 2019-05-17 苏州龙信信息科技有限公司 数据可视化方法、装置、设备和介质

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100468305C (zh) * 2006-02-14 2009-03-11 腾讯科技（深圳）有限公司 通讯系统中通讯信息的显示方法
WO2013097026A1 (en) * 2011-12-28 2013-07-04 Chrapko Evan V Systems and methods for visualizing social graphs
CN104408149B (zh) * 2014-12-04 2017-12-12 威海北洋电气集团股份有限公司 基于社交网络分析的犯罪嫌疑人挖掘关联方法及系统
CN105488130A (zh) * 2015-11-25 2016-04-13 成都数联铭品科技有限公司 一种关联数据可视化展示方法
CN105893615B (zh) * 2016-04-27 2019-06-14 厦门市美亚柏科信息股份有限公司 基于手机取证数据的机主特征属性挖掘方法及其系统
CN106101359A (zh) * 2016-06-06 2016-11-09 北京奇虎科技有限公司 通讯录信息的显示方法和装置
CN106682990A (zh) * 2016-12-09 2017-05-17 武汉中软通证信息技术有限公司 一种建立嫌疑人人际关系模型的方法和系统
CN107423434B (zh) * 2017-08-03 2020-02-18 航天科工智慧产业发展有限公司 一种基于话单数据的潜在社会关系网络的挖掘方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130103677A1 (en) * 2011-10-25 2013-04-25 International Business Machines Corporation Contextual data visualization
CN108710520A (zh) * 2018-05-11 2018-10-26 中国联合网络通信集团有限公司 数据的可视化方法、装置、终端及计算机可读存储介质
CN109766484A (zh) * 2018-12-28 2019-05-17 苏州龙信信息科技有限公司 数据可视化方法、装置、设备和介质

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SHANGGUAN, MENGXUAN ET AL.: "An Algorithm of Two Dimensional Correlators for Information Mining from Suspect's Social Network", FORENSIC SCIENCE AND TECHNOLOGY, vol. 42, no. 2, 24 April 0207 (0207-04-24), ISSN: 1008-3650, DOI: 20200106153424 *
WANG, HAOYUAN: "Research of Mobile Phone Forensics Technology Based on Android Platform", INFORMATION SCIENCE AND TECHNOLOGY, CHINESE MASTER’S THESES FULL-TEXT DATABASE, 15 June 2018 (2018-06-15), ISSN: 1674-0246, DOI: 20200106153222 *

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