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Method for dividing users in mobile social network

A technology of social network and social network, which is applied in the field of crowd division to achieve the effect of precise division

Inactive Publication Date: 2014-04-02
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

This method has been widely used in personalized recommendation fields such as e-commerce and multimedia content push, but this method is relatively targeted and can only analyze and detect user behavior on specific attribute dimensions

Method used

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  • Method for dividing users in mobile social network
  • Method for dividing users in mobile social network
  • Method for dividing users in mobile social network

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and exemplary embodiments. It should be understood that the exemplary embodiments described here are only used to explain the present invention, and are not intended to limit the applicable scope of the present invention.

[0021] Such as figure 1 As shown, the crowd division method in the mobile social network of the embodiment of the present invention comprises the following steps:

[0022] a. Import user geographic trajectory log files, and calculate the similarity of discrete geographic trajectory between any two users.

[0023] Wherein, the user geographic track log is composed of a user ID and a list of base station serial numbers of user activities. Given the total number of users N, and the user's active area is completely covered by M base stations, the si...

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Abstract

The invention discloses a method for dividing users in a mobile social network. The method comprises the following steps of a, importing user geographical track journal files, and calculating disperse geographical track similarity si,j between any two users; b, establishing a User-User similarity matrix G, a Locate-User matrix L and a User-Locate matrix U based on the disperse geographical track similarity between any two users; c, importing user social activity loggings, establishing a social network model according to mobile phone calling historical records between users, and calculating a social network adjacent matrix F; d, calculating a block matrix and dividing the users. According to the method, the users in a mobile phone network or in a position-based on-line social network are accurately divided, and the method can be applied to a personalized content recommendation system and pushes personalized content to target users.

Description

technical field [0001] The invention relates to data mining and user behavior analysis technology, in particular to a group division method in a mobile social network. It can be applied to a personalized content recommendation system by accurately classifying users in a mobile phone network or a location-based online social network. Background technique [0002] Accurately classifying groups or clusters in the population is of great significance for optimizing personalized content recommendation systems such as location-based Internet services. According to the results of group segmentation, personalized content can be accurately pushed to target users. [0003] The existing methods for grouping groups can generally be divided into methods based on social network community detection and clustering methods based on data characteristics. [0004] On the one hand, the method of community detection based on social network divides the traditional community according to the close...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00
Inventor 陈述涂来黄本雄马雪琴
Owner HUAZHONG UNIV OF SCI & TECH
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