CN107481154A - The analysis method and device of social networks interpersonal relationships - Google Patents
The analysis method and device of social networks interpersonal relationships Download PDFInfo
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- CN107481154A CN107481154A CN201710581172.6A CN201710581172A CN107481154A CN 107481154 A CN107481154 A CN 107481154A CN 201710581172 A CN201710581172 A CN 201710581172A CN 107481154 A CN107481154 A CN 107481154A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
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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
- G06F16/95—Retrieval from the web
Abstract
The invention discloses a kind of analysis method of social networks interpersonal relationships, including step：Gather the data of microblog users；Wherein, the data of the microblog users include the essential information and interaction content of the microblog users；The primary relational network of the microblog users is obtained according to the essential information of the microblog users and interaction content；Relation under gathering line, collect scene co-occurrence frequency under line；By microblog users described in linkage analysis technical Analysis interaction platform interactive information, by the conllinear frequency of scene under the interactive information and line carry out analysis obtain interactive relationship net；The primary relational network is modified according to the interactive relationship net and obtains deep relationship network, the network of personal connections for solving prior art acquisition does not consider the problem of relation under line, it is not limited to it is interactive on line, more accurately interpersonal relationships can be obtained.
Description
Technical field
The present invention relates to computer network field, more particularly to a kind of analysis method and dress of social networks interpersonal relationships
Put.
Background technology
Social networks (Social Network Services) is social network services, refers exclusively to be intended to help people
(a group possesses same interest and the people of activity) establishes the Internet, applications service of social network.This kind of service is often base
In internet, provide the user the various modes for interkniting, exchanging, for example, Email, instant message service QQ, microblogging,
Wechat etc..At home, one of representational social networks is microblogging, and it has become domestic society with strongest influence power at present
One of platform is handed over, the cyberrelationship between the user of microblogging mainly use by the bean vermicelli information including microblog users and/or target microblogging
The concern user profile at family, wherein bean vermicelli are the user groups given more sustained attention in microblogging to a certain microblog users.
At present, the existing method for obtaining micro blog network relation, lacks the analysis of relation under line, have ignored in network of personal connections
Miss situation intimate and not interactive on line under line, it is impossible to obtain accurate relation.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of analysis method and device of social networks interpersonal relationships, can be effective
Solve the problem that the network of personal connections that prior art obtains does not consider relation under line, more accurately interpersonal relationships can be obtained.
To achieve the above object, the embodiments of the invention provide a kind of analysis method of social networks interpersonal relationships, including
Step；
Gather the data of microblog users；Wherein, the data of the microblog users include the essential information of the microblog users
And interaction content；
The primary relational network of the microblog users is obtained according to the essential information of the microblog users and interaction content；
Relation under gathering line, collect scene co-occurrence frequency under line；
By microblog users described in linkage analysis technical Analysis interaction platform interactive information, by the interactive information
Frequency conllinear with scene under line carries out analysis and obtains interactive relationship net；
The primary relational network is modified according to the interactive relationship net and obtains deep relationship network.
Compared with prior art, the analysis method of social networks interpersonal relationships disclosed by the invention is by first gathering microblogging
The data of user, essential information and interaction content further according to the microblog users obtain the primary relation of the microblog users
Network, then relation under gathering line, collects scene co-occurrence frequency under line, passes through microblog users described in linkage analysis technical Analysis
In the interactive information of interaction platform, the conllinear frequency of scene under the interactive information and line is subjected to analysis and obtains interactive relationship net,
Then the primary relational network is modified according to the interactive relationship net and obtains deep relationship network, solved existing
The network of personal connections that technology obtains does not consider the problem of relation under line, it is not limited to it is interactive on line, it can obtain more accurately interpersonal
Relation.
As the improvement of such scheme, the data for gathering microblog users are specially：
The data of the microblog users are gathered using massively parallel processing(MPP).
As the improvement of such scheme, the data for gathering microblog users are specially：
For receiving the data of a large amount of microblog users, by the data distribution of the microblog users to multiple servers,
No write de-lay hard disk is stored and backed up after inbound message queue system.
The embodiment of the present invention additionally provides a kind of analytical equipment of social networks interpersonal relationships, including：
Acquisition module, for gathering the data of microblog users；Wherein, the data of the microblog users include the microblogging
The essential information and interaction content of user；
Primary relational network acquisition module, institute is obtained for the essential information according to the microblog users and interaction content
State the primary relational network of microblog users；
Co-occurrence frequency acquisition module, for relation under gathering line, collect the co-occurrence frequency of scene under line；
Interactive relationship net acquisition module, for by microblog users described in linkage analysis technical Analysis in interaction platform
Interactive information, the conllinear frequency of scene under the interactive information and line is subjected to analysis and obtains interactive relationship net；
Deep relationship Network Capture module, for being repaiied according to the interactive relationship net to the primary relational network
It is positive to obtain deep relationship network.
Compared with prior art, the analytical equipment of social networks interpersonal relationships disclosed by the invention first passes through acquisition module
The data of microblog users are gathered, then pass through essential information of the primary relational network acquisition module according to the microblog users and friendship
The primary relational network of microblog users described in mutual content obtaining, then by co-occurrence frequency acquisition module, relation under gathering line,
Scene co-occurrence frequency under line is collected, linkage is then passed through by deep relationship Network Capture module interactive relationship net acquisition module
Analytical technology analyzes interactive information of the microblog users in interaction platform, by the conllinear frequency of scene under the interactive information and line
Rate carries out analysis and obtains interactive relationship net, finally by deep relationship Network Capture module according to the interactive relationship net to institute
State primary relational network and be modified acquisition deep relationship network, the network of personal connections for solving prior art acquisition does not consider line
The problem of lower relation, it is not limited to it is interactive on line, more accurately interpersonal relationships can be obtained.
As the improvement of such scheme, the acquisition module is specifically used for described micro- using massively parallel processing(MPP) collection
The data of rich user.
As the improvement of such scheme, the acquisition module is specifically used for the data for receiving a large amount of microblog users, will
The data distribution of the microblog users to multiple servers, after inbound message queue system no write de-lay hard disk carry out storage and
Backup.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of the analysis method of social networks interpersonal relationships in the embodiment of the present invention.
Fig. 2 is a kind of structural representation of the analytical equipment of social networks interpersonal relationships in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art obtained under the premise of creative work is not made it is all its
His embodiment, belongs to the scope of protection of the invention.
It is that a kind of flow of the analysis method for social networks interpersonal relationships that the embodiment of the present invention 1 provides is shown referring to Fig. 1
It is intended to, including step：
S1, the data for gathering microblog users；Wherein, the data of the microblog users include the basic of the microblog users
Information and interaction content；
S2, the primary network of personal connections according to the essential information and interaction content of the microblog users acquisition microblog users
Network；
Relation under S3, gathering line, collect scene co-occurrence frequency under line；
S4, by microblog users described in linkage analysis technical Analysis in the interactive information of interaction platform, interactive believe described
Breath frequency conllinear with scene under line carries out analysis and obtains interactive relationship net；
S5, acquisition deep relationship network is modified to the primary relational network according to the interactive relationship net.
When it is implemented, the data of microblog users are first gathered, in the essential information and interaction further according to the microblog users
Hold the primary relational network for obtaining the microblog users, then relation under gathering line, collect scene co-occurrence frequency under line, pass through
Scene under the interactive information and line is total in the interactive information of interaction platform by microblog users described in linkage analysis technical Analysis
Line frequency carries out analysis and obtains interactive relationship net, and then the primary relational network is repaiied according to the interactive relationship net
Positive to obtain deep relationship network, the network of personal connections for solving prior art acquisition does not consider the problem of relation under line, does not limit to
In interaction on line, more accurately interpersonal relationships can be obtained.
In a preferred embodiment, the data of collection microblog users are specially in step S1：
For receiving the data of a large amount of microblog users, by the data distribution of the microblog users to multiple servers,
No write de-lay hard disk is stored and backed up after inbound message queue system.
By such scheme, solve the data that the poor problem of consumption of data can quickly receive magnanimity, so as to again
Ensure to be stored and backed up using hadoop systems in the integrality storages of data, data are more reliable.
It is that a kind of structure of the analytical equipment for social networks interpersonal relationships that the embodiment of the present invention 2 provides is shown referring to Fig. 2
It is intended to, including：
Acquisition module 101, for gathering the data of microblog users；Wherein, the data of the microblog users include described micro-
The essential information and interaction content of rich user；
Primary relational network acquisition module 102, obtained for the essential information according to the microblog users and interaction content
The primary relational network of the microblog users；
Co-occurrence frequency acquisition module 103, for relation under gathering line, collect the co-occurrence frequency of scene under line；
Interactive relationship net acquisition module 104, for by microblog users described in linkage analysis technical Analysis in interaction platform
Interactive information, by the conllinear frequency of scene under the interactive information and line carry out analysis obtain interactive relationship net；
Deep relationship Network Capture module 105, for being carried out according to the interactive relationship net to the primary relational network
Amendment obtains deep relationship network.
When it is implemented, first passing through acquisition module 101 gathers the data of microblog users, then obtained by primary relational network
Modulus block 102 obtains the primary relational network of the microblog users according to the essential information and interaction content of the microblog users,
Then by relation under the gathering line of co-occurrence frequency acquisition module 103, scene co-occurrence frequency under line is collected, is then closed by deep layer
It is that the interactive relationship net acquisition module of Network Capture module 104 is flat in interaction by microblog users described in linkage analysis technical Analysis
The interactive information of platform, the conllinear frequency of scene under the interactive information and line is subjected to analysis and obtains interactive relationship net, finally by
The acquisition module of deep relationship network 105 is modified acquisition deep layer according to the interactive relationship net to the primary relational network
Relational network, the network of personal connections for solving prior art acquisition do not consider the problem of relation under line, it is not limited on line mutually
It is dynamic, more accurately interpersonal relationships can be obtained.
Preferably, the acquisition module is specifically used for the data that the microblog users are gathered using massively parallel processing(MPP).
In another preferred embodiment, the acquisition module is specifically used for the data for receiving a large amount of microblog users, will
The data distribution of the microblog users to multiple servers, after inbound message queue system no write de-lay hard disk carry out storage and
Backup.
To sum up, the embodiment of the invention discloses a kind of analysis method of social networks interpersonal relationships by first gathering microblogging
The data of user, essential information and interaction content further according to the microblog users obtain the primary relation of the microblog users
Network, then relation under gathering line, collects scene co-occurrence frequency under line, passes through microblog users described in linkage analysis technical Analysis
In the interactive information of interaction platform, the conllinear frequency of scene under the interactive information and line is subjected to analysis and obtains interactive relationship net,
Then the primary relational network is modified according to the interactive relationship net and obtains deep relationship network, solved existing
The network of personal connections that technology obtains does not consider the problem of relation under line, it is not limited to it is interactive on line, it can obtain more accurately interpersonal
Relation.
Described above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also regard
For protection scope of the present invention.
Claims (6)
1. a kind of analysis method of social networks interpersonal relationships, it is characterised in that including step：
Gather the data of microblog users；Wherein, the data of the microblog users include essential information and the friendship of the microblog users
Mutual content；
The primary relational network of the microblog users is obtained according to the essential information of the microblog users and interaction content；
Relation under gathering line, collect scene co-occurrence frequency under line；
By microblog users described in linkage analysis technical Analysis interaction platform interactive information, by under the interactive information and line
The conllinear frequency of scene carries out analysis and obtains interactive relationship net；
The primary relational network is modified according to the interactive relationship net and obtains deep relationship network.
2. the analysis method of social networks interpersonal relationships as claimed in claim 1, it is characterised in that gather the number of microblog users
According to specially：
The data of the microblog users are gathered using massively parallel processing(MPP).
3. the analysis method of social networks interpersonal relationships as claimed in claim 1, it is characterised in that gather the number of microblog users
According to specially：
For receiving the data of a large amount of microblog users, the data distribution of the microblog users to multiple servers enters
No write de-lay hard disk is stored and backed up after Message Queuing system.
A kind of 4. analytical equipment of social networks interpersonal relationships, it is characterised in that including：
Acquisition module, for gathering the data of microblog users；Wherein, the data of the microblog users include the microblog users
Essential information and interaction content；
Primary relational network acquisition module, the microblogging is obtained for the essential information according to the microblog users and interaction content
The primary relational network of user；
Co-occurrence frequency acquisition module, for relation under gathering line, collect the co-occurrence frequency of scene under line；
Interactive relationship net acquisition module, for being believed by interaction of the microblog users described in linkage analysis technical Analysis in interaction platform
Breath, the conllinear frequency of scene under the interactive information and line is subjected to analysis and obtains interactive relationship net；
Deep relationship Network Capture module, for being modified acquisition to the primary relational network according to the interactive relationship net
Deep relationship network.
5. the analytical equipment of social networks interpersonal relationships as claimed in claim 4, it is characterised in that the acquisition module is specific
For gathering the data of the microblog users using massively parallel processing(MPP).
6. the analytical equipment of social networks interpersonal relationships as claimed in claim 4, it is characterised in that the acquisition module is specific
For receiving the data of a large amount of microblog users, by the data distribution of the microblog users to multiple servers, inbound message
No write de-lay hard disk is stored and backed up after queue system.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710581172.6A CN107481154A (en) | 2017-07-17 | 2017-07-17 | The analysis method and device of social networks interpersonal relationships |
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| CN201710581172.6A CN107481154A (en) | 2017-07-17 | 2017-07-17 | The analysis method and device of social networks interpersonal relationships |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108830735A (en) * | 2017-12-27 | 2018-11-16 | 广州市云润大数据服务有限公司 | Interpersonal relationships analysis method and system on a kind of line |
| CN109766786A (en) * | 2018-12-21 | 2019-05-17 | 深圳云天励飞技术有限公司 | Character relation analysis method and Related product |
| CN109784199A (en) * | 2018-12-21 | 2019-05-21 | 深圳云天励飞技术有限公司 | Analysis method of going together and Related product |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104202319A (en) * | 2014-08-28 | 2014-12-10 | 北京淘友天下科技发展有限公司 | Method and device for social relation recommendation |
| CN105183728A (en) * | 2014-05-30 | 2015-12-23 | 广州市邦富软件有限公司 | Method for analyzing figure association relation in microblog |
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2017
- 2017-07-17 CN CN201710581172.6A patent/CN107481154A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105183728A (en) * | 2014-05-30 | 2015-12-23 | 广州市邦富软件有限公司 | Method for analyzing figure association relation in microblog |
| CN104202319A (en) * | 2014-08-28 | 2014-12-10 | 北京淘友天下科技发展有限公司 | Method and device for social relation recommendation |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108830735A (en) * | 2017-12-27 | 2018-11-16 | 广州市云润大数据服务有限公司 | Interpersonal relationships analysis method and system on a kind of line |
| CN109766786A (en) * | 2018-12-21 | 2019-05-17 | 深圳云天励飞技术有限公司 | Character relation analysis method and Related product |
| CN109784199A (en) * | 2018-12-21 | 2019-05-21 | 深圳云天励飞技术有限公司 | Analysis method of going together and Related product |
| CN109766786B (en) * | 2018-12-21 | 2020-10-23 | 深圳云天励飞技术有限公司 | Character relation analysis method and related product |
| CN109784199B (en) * | 2018-12-21 | 2020-11-24 | 深圳云天励飞技术有限公司 | Peer-to-peer analysis method and related product |
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Application publication date: 20171215 |