CN112100294A - User relationship analysis method and device for network platform and related equipment - Google Patents
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Abstract
The application discloses a user relation analysis method facing a network platform, which comprises the steps of determining a target network platform according to an analysis instruction; acquiring a user set of the target network platform; calling a recursive algorithm to traverse each user node in the user set upwards to obtain a link relation corresponding to each user node; processing each link relation through a D3tree to obtain a user hierarchy relation of a tree structure; the method can effectively improve the analysis efficiency of the user relationship in the network platform and the accuracy of the analysis result. The application also discloses a user relationship analysis device and system oriented to the network platform and a computer readable storage medium, which have the beneficial effects.
Description
Technical Field
The present application relates to the field of electronic data processing technologies, and in particular, to a user relationship analysis method for a network platform, and further, to a user relationship analysis apparatus, a user relationship analysis system, and a computer-readable storage medium for a network platform.
Background
With the development of internet technology, online network platforms become important tools for people to communicate and communicate daily, and the user relationship in the network platforms greatly influences the formation and development of the network platforms, so that the analysis of the user relationship in the network platforms becomes more important. For example, in recent years, marketing activities are increasingly networked, and compared with traditional marketing, network marketing often has the characteristics of many involved persons, rapid case scale development, more concealed identity of involved persons and more difficult strike, while the existing marketing-oriented network platform user relationship analysis is more dependent on manual operation, and has the serious problems of low efficiency, high cost and low accuracy.
Therefore, how to effectively improve the efficiency of user relationship analysis for a network platform and ensure the accuracy of the user relationship analysis result is a problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The method can effectively improve the analysis efficiency of the user relationship in the network platform and the accuracy of an analysis result; another object of the present application is to provide a user relationship analysis apparatus, a system and a computer-readable storage medium for a network platform, which also have the above beneficial effects.
In a first aspect, the present application provides a user relationship analysis method for a network platform, including:
determining a target network platform according to the analysis instruction;
acquiring a user set of the target network platform;
calling a recursive algorithm to traverse each user node in the user set upwards to obtain a link relation corresponding to each user node;
and processing each link relation through a D3tree to obtain a user hierarchy relation of a tree structure.
Preferably, the user relationship analysis method for the network platform further includes:
and storing each link relation to a preset link library.
Preferably, the user relationship analysis method for the network platform further includes:
and querying and acquiring a target link relation in the preset link library by using a find _ in _ set () function.
Preferably, the user relationship analysis method for the network platform further includes:
when the number of the link relations corresponding to the user node is not 1, acquiring the number of link layers of each link relation;
and taking the link layer number with the largest value as the user level of the user node.
Preferably, the user relationship analysis method for the network platform further includes:
and carrying out information statistics on each user node to obtain user information.
Preferably, the user relationship analysis method for the network platform further includes:
carrying out statistics on platform information of the target network platform;
and determining the scale grade of the target network platform according to the platform information and the user information.
Preferably, the user relationship analysis method for the network platform further includes:
and sending the user hierarchy relation to display equipment for visual display.
In a second aspect, the present application further discloses a user relationship analysis device facing a network platform, including:
the network platform determining module is used for determining a target network platform according to the analysis instruction;
the user set acquisition module is used for acquiring a user set of the target network platform;
the user traversal module is used for calling a recursive algorithm to perform upward traversal on each user node in the user set to obtain a link relation corresponding to each user node;
and the user relationship analysis module is used for processing each link relationship through the D3tree to obtain the user hierarchy relationship of the tree structure.
In a third aspect, the present application further discloses a user relationship analysis system facing a network platform, including:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of any of the network platform oriented user relationship analysis methods described above.
In a fourth aspect, the present application further discloses a computer-readable storage medium, in which a computer program is stored, and the computer program is used for implementing the steps of any network platform-oriented user relationship analysis method as described above when being executed by a processor.
The application provides a user relationship analysis method facing a network platform, which comprises the steps of determining a target network platform according to an analysis instruction; acquiring a user set of the target network platform; calling a recursive algorithm to traverse each user node in the user set upwards to obtain a link relation corresponding to each user node; and processing each link relation through a D3tree to obtain a user hierarchy relation of a tree structure.
Therefore, according to the user relationship analysis method for the network platform, the user nodes in the network platform are traversed upwards through the recursive algorithm to obtain the corresponding link relationships, the user hierarchy relationship analysis is further realized by combining the D3tree, and finally the user hierarchy relationship is displayed through the tree structure, so that the user relationship in the network platform is clearer and clearer.
The user relationship analysis device, the user relationship analysis system and the computer-readable storage medium for the network platform have the beneficial effects, and are not described in detail herein.
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In order to more clearly illustrate the technical solutions in the prior art and the embodiments of the present application, the drawings that are needed to be used in the description of the prior art and the embodiments of the present application will be briefly described below. Of course, the following description of the drawings related to the embodiments of the present application is only a part of the embodiments of the present application, and it will be obvious to those skilled in the art that other drawings can be obtained from the provided drawings without any creative effort, and the obtained other drawings also belong to the protection scope of the present application.
Fig. 1 is a schematic flowchart of a user relationship analysis method for a network platform according to the present application;
FIG. 2 is a user summary information display diagram provided in the present application;
FIG. 3 is a user's personal information display provided by the present application;
FIG. 4 is a user hierarchy display diagram provided in the present application;
fig. 5 is a schematic structural diagram of a user relationship analysis apparatus facing a network platform according to the present application;
fig. 6 is a schematic structural diagram of a user relationship analysis system oriented to a network platform provided in the present application.
Detailed Description
The core of the application is to provide a user relationship analysis method facing a network platform, and the method can more effectively improve the analysis efficiency of the user relationship in the network platform and the accuracy of an analysis result; another core of the present application is to provide a user relationship analysis apparatus, a system and a computer-readable storage medium for a network platform, which also have the above beneficial effects.
In order to more clearly and completely describe the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the development of internet technology, online network platforms become important tools for people to communicate and communicate daily, and the user relationship in the network platforms greatly influences the formation and development of the network platforms, so that the analysis of the user relationship in the network platforms becomes more important. For example, in recent years, marketing activities are increasingly networked, and compared with traditional marketing, network marketing often has the characteristics of many involved persons, rapid case scale development, more concealed identity of involved persons and more difficult strike, while the existing marketing-oriented network platform user relationship analysis is more dependent on manual operation, and has the serious problems of low efficiency, high cost and low accuracy. Therefore, in order to solve the above technical problems, the present application provides a user relationship analysis method for a network platform, which can more effectively improve the analysis efficiency of the user relationship in the network platform and the accuracy of the analysis result.
Referring to fig. 1, fig. 1 is a schematic flow chart of a user relationship analysis method for a network platform according to the present application, where the user relationship analysis method for the network platform may include:
s101: determining a target network platform according to the analysis instruction;
this step is intended to achieve the determination of the target network platform, which is the network platform that needs to perform the user relationship analysis. Specifically, when a user relationship analysis needs to be performed on a certain network platform, a user can send an analysis instruction to the system through the system front end, and further, the system can determine a target network platform according to the analysis instruction. It should be noted that the user relationship analysis method for the network platform provided by the present application is applicable to various network platforms in the internet, and therefore, the present application is not limited to a specific type of a target network platform.
S102: acquiring a user set of a target network platform;
the step aims to realize the acquisition of a user set of the target network platform, wherein the users in the user set are users who have completed registration on the target network platform, so that the information of all registered users in the target network platform can be acquired through the acquisition of the registered users, and then the user set is generated.
S103: calling a recursion algorithm, and traversing each user node in the user set upwards to obtain a link relation corresponding to each user node;
the step is intended to implement obtaining of link relationships of users in a user set, and may be implemented based on a recursive algorithm, where a link relationship refers to a hierarchical relationship between each user and other users, such as a recommendation relationship or an arrangement relationship, and for example, for an affiliation network platform, the link relationship may be an affiliation link. Specifically, after the user set is obtained, each user in the user set can be used as a node, that is, the user node, and then a recursive algorithm is adopted to sequentially traverse each user node upwards to obtain a link relationship corresponding to the user node, wherein each user node may correspond to a plurality of child user nodes, if a downward traversal mode is adopted, a path is found equivalently, the complexity is power-level, but each user node only corresponds to a father node, that is, the superior level of each user node is unique, so that the link relationship is obtained by adopting an upward traversal mode, the link relationship is walked by adopting a fixed path, the implementation process is fast and simple, the traversal efficiency can be effectively ensured, and the link relationship obtaining efficiency is improved.
As a preferred embodiment, the method for analyzing user relationship for a network platform may further include: and storing each link relation to a preset link library.
The preferred embodiment aims to realize the storage of the link relations, that is, each link relation is stored in a pre-established database, that is, the preset link library, so that a subsequent user can perform link inquiry according to actual requirements, the link relation of a certain user node is obtained more conveniently and rapidly, and further, the statistics of the relevant information of an individual user is completed.
As a preferred embodiment, the method for analyzing user relationship for a network platform may further include: and querying in a preset link library by using a find _ in _ set () function to acquire the target link relation.
The preferred embodiment provides a more specific link relationship query method, which is implemented by a find _ in _ set () function based on a database, and the find _ in _ set () function queries a preset link library to obtain a target link relationship, where the target link relationship is a link relationship that a user needs to query. Of course, the above link relation query method is only one implementation manner provided by the preferred embodiment, and is not unique, and other types of implementation manners may be selected according to actual situations, which is not limited in the present application.
As a preferred embodiment, the method for analyzing user relationship for a network platform may further include: when the number of the link relations corresponding to the user node is not 1, acquiring the link layer number of each link relation; and taking the link layer number with the largest value as the user level of the user node.
The preferred embodiment aims to determine the user level to which each user node belongs, and specifically, after traversing of the user node is completed, the user node may have a plurality of link relationships, and at this time, the link layer number with the largest value can be used as the user level of the user node. For example, the user node X may have two downlinks (link relationships), one is 3 layers, and the other is 10 layers, since each user node is traversed once upward, for the first link, when the user node X is traversed, the number of the downlinks is refreshed to 3; for the second link, when traversing to the user node X, 10 layers have been traversed, and at this time, the number of downline layers of the user node is taken as the maximum value of 10, that is, the user level of the user node X is 10 levels. Through the implementation mode, the determination of the user level to which each user node belongs and the statistical classification of each user level can be realized.
S104: and processing each link relation through a D3tree (vertical organization structure tree) to obtain a user hierarchy relation of a tree structure.
The step aims to realize user relationship analysis based on a D3tree and obtain a corresponding user hierarchy relationship. Specifically, after the link relationships of the user nodes are obtained, the link relationships can be input into a D3tree for processing, and a final user hierarchy relationship is dynamically generated through the D3tree, wherein the user hierarchy relationship is a tree structure, which is more convenient for a user to easily and intuitively know the user relationship in the target network platform.
As a preferred embodiment, the method for analyzing user relationship for a network platform may further include: and carrying out information statistics on each user node to obtain user information.
The preferred embodiment aims to realize user information statistics, so that the related information of each user node can be queried at a later stage, and the user information statistics process can be specifically realized based on the registration information of a user, wherein the registration information can be a user name, a registered mobile phone number, an identity card number and the like, and further, the specific user information includes but is not limited to the region, age, gender and the like of the user.
As a preferred embodiment, the method for analyzing user relationship for a network platform may further include: counting platform information of a target network platform; and determining the scale grade of the target network platform according to the platform information and the user information.
The preferred embodiment is directed to achieving scale determination of a target network platform, which can be achieved based on platform information and user information. Specifically, platform information of the target network platform may be counted first, and then the scale level determination of the target network platform is achieved by combining with the user information, where the platform information may include platform establishment time, platform user registration number, user registration time and area distribution range, user registration trend, and the like. Further, the specific assessment of the scale level may be implemented based on a pre-established assessment rule, and the platform rule may be set by a technician according to an actual situation, and is not unique, for example, when the platform establishment time exceeds a certain duration and the user registration number exceeds a certain number, the scale level of the target network platform is determined to be the highest level.
As a preferred embodiment, the method for analyzing user relationship for a network platform may further include: and sending the user hierarchy relation to display equipment for visual display.
Specifically, after the user hierarchy relationship of the tree structure is generated based on the D3tree, the user hierarchy relationship can be sent to the front-end display device for visual display, and the display mode is simpler, more intuitive and clearer.
Therefore, according to the user relationship analysis method for the network platform, the user nodes in the network platform are traversed upwards through the recursive algorithm to obtain the corresponding link relationships, the user hierarchy relationship analysis is further realized by combining the D3tree, and finally the user hierarchy relationship is displayed through the tree structure, so that the user relationship in the network platform is clearer and clearer.
On the basis of the foregoing embodiments, the present preferred embodiment provides a more specific user relationship analysis method for a distribution network platform, taking a distribution network platform as an example, and the specific implementation flow thereof is as follows:
1. analyzing detailed information of the network-distributed case, including a total level, a personal offline level, the number of persons under the personal level, and the like;
from the data structure, each user needs to maintain the number of the belonged levels and the number of offline persons, so that each user can be traversed upwards once by adopting a mode of searching upwards by recursive operation, several levels are searched upwards by adopting cursor records during each traversal, the levels are compared with the current level of the user to be searched, a larger value is taken and stored in the user to be searched, and the belonged level of the user is obtained. Further, the initial number of users who have taken the line is set to 0, and the number of users who have taken the line is increased by 1 every time they are retrieved, so that the number of persons who have taken the line and the number of persons who have taken the line directly from the line are obtained. Therefore, through reverse retrieval recursion, the time complexity of the algorithm is reduced from the level of On2 traversed by the traditional downward retrieval tree structure hierarchy to the level of On, and the implementation process is more convenient and faster. In addition, in each round of circulation process, a distribution link can be established for the starting node user and recorded in a link library, and then distribution link query can be realized through a database find _ in _ set () function, so that query efficiency is improved.
2. Analyzing distribution characteristics such as the region, age, sex and the like of involved personnel through a mobile phone number or an identity card number of a user, and further showing main characteristics and region distribution of a target user corresponding to the network marketing project, please refer to fig. 2 and fig. 3, wherein fig. 2 is a user general information display diagram provided by the application, and fig. 3 is a user personal information display diagram provided by the application;
3. inquiring key attention personnel and criminals in the case through data of a butt-joint supervision department;
4. analyzing the scale development trend of the network marketing project through the case-involved time of the user, such as the member development trend shown in figure 2;
5. for the analysis result, a tree-shaped personnel distribution structure is dynamically generated by combining with the D3tree and is sent to the front end for visual display, please refer to fig. 4, where fig. 4 is a user hierarchy relationship display diagram provided in the present application.
Therefore, through the implementation method, the case-involved persons with the most number of developed offline persons and the most active behaviors can be displayed for the police to carry out key detection, the recommendation or arrangement relationship between any two case-involved persons is rapidly analyzed through calculating the intersection of the personal biography and marketing links, the regional distribution and the gender and age distribution of the case-involved persons are displayed, the starting point is provided for detecting cases, and the pertinence of the police in fighting and marketing work is improved.
To solve the above technical problem, the present application further provides a network platform-oriented user relationship analysis apparatus, please refer to fig. 5, where fig. 5 is a schematic structural diagram of the network platform-oriented user relationship analysis apparatus provided in the present application, and the network platform-oriented user relationship analysis apparatus may include:
the network platform determining module 1 is used for determining a target network platform according to the analysis instruction;
the user set acquisition module 2 is used for acquiring a user set of the target network platform;
the user traversal module 3 is used for calling a recursive algorithm to perform upward traversal on each user node in the user set to obtain a link relation corresponding to each user node;
and the user relationship analysis module 4 is used for processing each link relationship through the D3tree to obtain a user hierarchy relationship of a tree structure.
It can be seen that, the user relationship analysis device for the network platform provided in the embodiment of the present application performs upward traversal on each user node in the network platform through the recursive algorithm to obtain a corresponding link relationship, further implements user hierarchy relationship analysis by combining with the D3tree, and finally displays the user hierarchy relationship through the tree structure, so that the user relationship in the network platform is clearer and clearer, compared with the user relationship analysis based on manual operation in the prior art, the implementation method is more comprehensive and efficient, and greatly improves the analysis efficiency of the user relationship in the network platform and the accuracy of an analysis result.
As a preferred embodiment, the network platform-oriented user relationship analysis apparatus may further include a link relationship storage module, configured to store each link relationship in a preset link library.
As a preferred embodiment, the network platform-oriented user relationship analysis apparatus may further include a link relationship query module, configured to query and acquire the target link relationship in a preset link library by using a find _ in _ set () function.
As a preferred embodiment, the network platform-oriented user relationship analysis apparatus may further include a user hierarchy determining module, configured to obtain the number of link layers of each link relationship when the number of link relationships corresponding to the user node is not 1; and taking the link layer number with the largest value as the user level of the user node.
As a preferred embodiment, the user relationship analysis device for the network platform may further include a user information statistics module, configured to perform information statistics on each user node to obtain user information.
As a preferred embodiment, the network platform-oriented user relationship analysis apparatus may further include a platform level determination module, configured to count platform information of a target network platform; and determining the scale grade of the target network platform according to the platform information and the user information.
As a preferred embodiment, the user relationship analysis apparatus for a network platform may further include a visualization module, configured to send the user hierarchical relationship to a display device for visualization.
For the introduction of the apparatus provided in the present application, please refer to the above method embodiments, which are not described herein again.
To solve the above technical problem, the present application further provides a network platform-oriented user relationship analysis system, please refer to fig. 6, where fig. 6 is a schematic structural diagram of the network platform-oriented user relationship analysis system provided in the present application, and the network platform-oriented user relationship analysis system may include:
a memory 10 for storing a computer program;
the processor 20, when executing the computer program, may implement the steps of any of the network platform oriented user relationship analysis methods described above.
For the introduction of the system provided by the present application, please refer to the above method embodiment, which is not described herein again.
To solve the above problem, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the network platform-oriented user relationship analysis methods can be implemented.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For the introduction of the computer-readable storage medium provided in the present application, please refer to the above method embodiments, which are not described herein again.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The technical solutions provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall into the protection scope of the present application.
Claims (10)
1. A user relationship analysis method facing a network platform is characterized by comprising the following steps:
determining a target network platform according to the analysis instruction;
acquiring a user set of the target network platform;
calling a recursive algorithm to traverse each user node in the user set upwards to obtain a link relation corresponding to each user node;
and processing each link relation through a D3tree to obtain a user hierarchy relation of a tree structure.
2. The method of claim 1, further comprising:
and storing each link relation to a preset link library.
3. The method of claim 2, further comprising:
and querying and acquiring a target link relation in the preset link library by using a find _ in _ set () function.
4. The method of any one of claims 1 to 3, further comprising:
when the number of the link relations corresponding to the user node is not 1, acquiring the number of link layers of each link relation;
and taking the link layer number with the largest value as the user level of the user node.
5. The method of claim 1, further comprising:
and carrying out information statistics on each user node to obtain user information.
6. The method of claim 5, further comprising:
carrying out statistics on platform information of the target network platform;
and determining the scale grade of the target network platform according to the platform information and the user information.
7. The method of claim 1, further comprising:
and sending the user hierarchy relation to display equipment for visual display.
8. A user relationship analysis device for a network platform, comprising:
the network platform determining module is used for determining a target network platform according to the analysis instruction;
the user set acquisition module is used for acquiring a user set of the target network platform;
the user traversal module is used for calling a recursive algorithm to perform upward traversal on each user node in the user set to obtain a link relation corresponding to each user node;
and the user relationship analysis module is used for processing each link relationship through the D3tree to obtain the user hierarchy relationship of the tree structure.
9. A user relationship analysis system for a network platform, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the network platform oriented user relationship analysis method according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to carry out the steps of the network platform oriented user relationship analysis method according to any one of claims 1 to 7.
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| CN113157704A (en) * | 2021-05-06 | 2021-07-23 | 成都卫士通信息产业股份有限公司 | Hierarchical relation analysis method, device, equipment and computer readable storage medium |
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