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基于拓扑结构的在线社会网络度量方法

Measurement for Online Social Networks Based on Topology Structure

中文摘要英文摘要

在线社会网络是人与人之间交互的复杂关系网,积累的大量社会信息对人类日常工作和生活产生巨大的影响。旨在从理论和实验上系统研究在线社会网络拓扑特性,对社会网络的静态内部结构进行深入研究,提出基于拓扑结构的在线社会网络度量方法,分析网络中节点度的幂律分布、聚类系数、有效直径缩减和稠化性质。Facebook网络上实验结果证明在线社会网络的拓扑特性及所提度量方法的有效性。

Online social network is a mutual and complex network of human beings, which accumulates a large amount of social information that can greatly affect peoples' routine work and living. This paper aims to explore the property of topology structures in online social networks theoretically and experimentally, futher studies the statically internal structure, and proposes the measurement for online social networks based on topology structure, in order to analyze the power-law distribution, and the shrinking diameter and densification law. The experimental results on the Facebook dataset validate the property of topology structures and the effectiveness of the proposed measurement.

格桑多吉、韩楠、乔少杰

计算技术、计算机技术

计算机应用在线社会网络拓扑结构有效直径

computer applicationonline social networkstopology structureeffective diameter

格桑多吉,韩楠,乔少杰.基于拓扑结构的在线社会网络度量方法[EB/OL].(2014-09-29)[2025-08-22].http://www.paper.edu.cn/releasepaper/content/201409-382.点此复制

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