Public Opinion Leader Community Mining based on the Heterogeneous Network

ZHANG Wei-zhe; WANG Bai-ling; HE Hui; TAN Zhuo-peng

doi:10.3969/j.issn.0372-2112.2012.10.003

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Public Opinion Leader Community Mining based on the Heterogeneous Network

更新时间：2025-07-16

- Public Opinion Leader Community Mining based on the Heterogeneous Network
- Acta Electronica Sinica Vol. 40, Issue 10, Pages: 1927-1932(2012)
- 作者机构：
  
  哈尔滨工业大学计算机科学与技术,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.10.003
  CLC： TP393
- Published：2012
- 稿件说明：
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ZHANG Wei-zhe, WANG Bai-ling, HE Hui, et al. Public Opinion Leader Community Mining based on the Heterogeneous Network[J]. Acta Electronica Sinica, 2012, 40(10): 1927-1932.
DOI：

ZHANG Wei-zhe, WANG Bai-ling, HE Hui, et al. Public Opinion Leader Community Mining based on the Heterogeneous Network[J]. Acta Electronica Sinica, 2012, 40(10): 1927-1932. DOI： 10.3969/j.issn.0372-2112.2012.10.003.

摘要

针对意见领袖社区发现问题

通过将论坛中主题及其回复关系建模为异质网络

准确表示社区结构.提出意见领袖社区影响力概念及其量化方法

在此基础上设计了一种基于异质网络的意见领袖社区发现算法.通过采集天涯论坛的大量数据

验证了该社区挖掘方案能够较准确地挖掘论坛中的意见领袖社区.

Abstract

In order to discover the public opinion leader community in a web forum

a heterogeneous network is constructed to represent the relationship between the topics and their replies.By quantifying the influences of forum users

a forum opinion leader community mining algorithm (FOLCM) is put forward.The algorithm is evaluated with real large-scale web data from the TianYa forum.The results demonstrate the effectiveness of the forum opinion leader community mining algorithm.

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Individual Random Walks for Gene-Phenotype Association Analysis

Community Detection in Heterogeneous Network with Semantic Paths

Individual Random Walks for Gene-Phenotype Association Analysis

Node Influence Based Similarity Measure Method in Heterogeneous Network

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