Identifying the Influential User in the Cobweb State Micro-blog Network

Tan Si-ni; Chen Ping-hua

doi:10.3969/j.issn.1007-7162.2015.03.012

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Identifying the Influential User in the Cobweb State Micro-blog Network

更新时间：2026-05-27

- Identifying the Influential User in the Cobweb State Micro-blog Network
- Vol. 32, Issue 3, Pages: 61-66(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2015.03.012
  CLC：
- Online First：22 September 2015，
  
  Published：2015
- 稿件说明：
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谭思妮, 陈平华. 蛛网态微博关系网中有影响力用户的识别研究[J]. 广东工业大学学报, 2015, 32(3): 61-66.

Tan Si-ni, Chen Ping-hua. Identifying the Influential User in the Cobweb State Micro-blog Network[J]. 2015, 32(3): 61-66.
谭思妮, 陈平华. 蛛网态微博关系网中有影响力用户的识别研究[J]. 广东工业大学学报, 2015, 32(3): 61-66. DOI： 10.3969/j.issn.1007-7162.2015.03.012.

Tan Si-ni, Chen Ping-hua. Identifying the Influential User in the Cobweb State Micro-blog Network[J]. 2015, 32(3): 61-66. DOI： 10.3969/j.issn.1007-7162.2015.03.012.

摘要

通过分析蛛网态微博关系网的特点，指出识别蛛网态微博关系网中有影响力用户的重要意义.重点探讨微博用户自身属性对用户影响力的作用，结合PageRank算法原理，提出一种蛛网态微博关系网中有影响力用户发现方法 (Influential User Discovering Algorithm，IUDA)，并基于新浪微博的真实用户数据将该方法与另外两种方法进行对比实验.结果显示

结合用户本身影响值的IUDA方法可以更高质量地发现蛛网态微博网中有影响力用户，客观反映用户的影响力.

Abstract

Through analyzing the characteristics of the cobweb state microblog network

the paper points out the importance of identifying the influential user in the cobweb state micro-blog network. It focuses on the effect of the attributes of micro-blog users itself

combines the principle of PageRank algorithm

and then proposes IUDA(Influential User Discovering Algorithm) in cobweb state micro-blog relationship network to find influential users. Finally

experiments are conducted with the real user data from Sina micro-blog based on this method and are compared with two other methods. The results show that the IUDA method combined with the user itself can find influential users in cobweb state micro-blog network more effectively

and can objectively reflect the user′s influence.

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