| 基于复杂网络理论的互联网新闻媒体分析 |
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| 引用本文： | 王友忠,曾大军,郑晓龙,王飞跃.基于复杂网络理论的互联网新闻媒体分析[J].复杂系统与复杂性科学,2009,6(3):11-21. |
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| 作者姓名： | 王友忠 曾大军 郑晓龙 王飞跃 |
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| 作者单位： | 中国科学院自动化研究所复杂系统与智能科学重点实验室,北京,100080 |
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| 基金项目： | 国家863计划重点项目 |
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| 摘 要： | 基于网络新闻媒体之间的转载关系构建了新闻转载网络,应用复杂网络理论分别研究了其无向无权网络、无向加权网络以及有向网络的拓扑结构.研究表明新闻转载网络具有无标度、小世界以及异配连接倾向等特性,并发现网络存在核心-边缘结构.通过比较加权网络与无权网络在组织结构上的异同以及分析网络的有向性特征,表明了权值和方向对网络新闻研究的重要意义.
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| 关 键 词： | 网络新闻媒体 社会媒体 复杂网络 无向无权网络 加权网络 有向网络 拓扑结构 |
Internet News Media Analysis Based on Complex Network Theory |
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| Authors: | WANG Youz-hong ZENG Da-jun ZHENG Xiao-long WANG Fei-yue |
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| Institution: | The Key Laboratory of Complex Systems and Intelligence Science;Institute of Automation;Chinese Academy of Sciences;Beijing 100080;China |
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| Abstract: | This paper studies reprinting/reposting relationships among online news outlets based on complex network theory and related measures.We analyze the topological structure of undirected unweighted reprinting/reposting network as well as its undirected weighted and directed variations.These networks show several important characteristics: the scale-free property,the small world effect,disassortative mixing,and the core-periphery structure.This paper also demonstrates the importance of weights and direction in ... |
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| Keywords: | internet news media social media complex networks undirected unweighted network weighted network directed network topological structure |
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