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加权网络中h类杂合中心度测度指标研究

郭红梅 张智雄

情报杂志Issue(1):55-57,43,4.
情报杂志Issue(1):55-57,43,4.DOI:10.3969/j.issn.1002-1965.2014.01.011

加权网络中h类杂合中心度测度指标研究

On h-Type Hybrid Centrality Measures for Weighted Networks

郭红梅 1张智雄2

作者信息

  • 1. 中国科学院国家科学图书馆 北京 100190
  • 2. 中国科学院大学 北京 100190
  • 折叠

摘要

Abstract

Locating core nodes in social networks by measuring the centrality of each node is the focus in scientific community. Existing centrality methods consider less of the weight of links. On the basis of academic influence evaluation index, we propose new indicators tak-ing into account the number of the adjacent nodes and the weight of adjacent links. We construct small virtual network to embody calcula-tion process of each new index. At the same time, we construct practical co-author network to test the correlation between new centrality indicators and existing academic influence evaluation indicators. The results show that new centrality measure indexes have a certain ration-ality and feasibility.

关键词

杂合中心度指标/加权网络/社会网络分析/中心度

Key words

hybrid centrality measures/weighted networks/social network analysis/centrality

分类

信息技术与安全科学

引用本文复制引用

郭红梅,张智雄..加权网络中h类杂合中心度测度指标研究[J].情报杂志,2014,(1):55-57,43,4.

基金项目

国家自然科学基金项目“基于语言网络的文本主题中心度计算方法研究”(编号:61075047)。 (编号:61075047)

情报杂志

OA北大核心CHSSCDCSSCI

1002-1965

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