社交网络分析的图形工具

N. Akhtar, Mohd Vasim Ahamad
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引用次数: 12

摘要

社交网络可以定义为一个复图,它是通过边连接的节点的集合。节点表示网络中的个体参与者或人员,而边缘则定义这些参与者之间的关系。最流行的社交网络是Facebook、Twitter和Google+。要分析这些社会网络,需要专门的分析工具。本章从一般图形方面和社会网络挖掘方面对这些工具进行了比较研究。在考虑一般图形方面的同时,本章基于平台、执行时间、图形类型、算法复杂性、输入文件格式和图形特征,对四种社交网络分析工具——networkx、Gephi、Pajek和igraph进行了比较研究。在社交网络挖掘方面的基础上,本章对五种专业工具(weka、NetMiner 4、RapidMiner、KNIME和r)进行了比较研究,包括支持的挖掘任务、主要功能、可接受的输入格式、输出格式和使用的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph Tools for Social Network Analysis
A social network can be defined as a complex graph, which is a collection of nodes connected via edges. Nodes represent individual actors or people in the network, whereas edges define relationships among those actors. Most popular social networks are Facebook, Twitter, and Google+. To analyze these social networks, one needs specialized tools for analysis. This chapter presents a comparative study of such tools based on the general graph aspects as well as the social network mining aspects. While considering the general graph aspects, this chapter presents a comparative study of four social network analysis tools—NetworkX, Gephi, Pajek, and IGraph—based on the platform, execution time, graph types, algorithm complexity, input file format, and graph features. On the basis of the social network mining aspects, the chapter provides a comparative study on five specialized tools—Weka, NetMiner 4, RapidMiner, KNIME, and R—with respect to the supported mining tasks, main functionality, acceptable input formats, output formats, and platform used.
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