| 微信群内部的会话网络结构及关键节点测度研究 |
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| 引用本文： | 巴志超,李纲,王晓,李显鑫.微信群内部的会话网络结构及关键节点测度研究[J].图书情报工作,2017,61(20):111-119. |
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| 作者姓名： | 巴志超 李纲 王晓 李显鑫 |
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| 作者单位： | 武汉大学信息资源研究中心 武汉 430072 |
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| 基金项目： | 本文系国家自然科学基金青年项目"突发公共卫生事件社交媒体信息主体演化与影响力建模"（项目编号：71603189）和中国博士后科学基金特别资助项目"科研合作网络的演化模型与动力学研究"（项目编号：2017T100585）研究成果之一。 |
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| 摘 要： | 目的/意义]微信群内部存在着复杂的会话网络结构,探究微信群内部网络结构特征、角色类型以及相互关系对认识微信用户信息行为与传播模式具有重要意义。方法/过程]以真实微信群中的对话样本作为研究对象,以成员之间的@关系及交流强度作为边权重构建行为网络,采用社会网络分析和内容分析方法对微信群中会话网络结构的统计特征、核心成员识别、信息交流行为等进行分析,并设计基于数量、黏度和位置的微信群用户影响力计算模型。结果/结论]微信群中成员发言数近似服从分段幂律分布,其幂律指数与成员活跃度成正比关系;仅依赖发言数和发言分布时间无法反映成员在网络中的地位和影响力,其与中心性、个体网络特征等指标存在不一致;微信群内的信息交流更多是一种"有限度"和"碎片化"的交流,而群间的信息流动则表现为逐级过滤、舆情风险逐级削减的趋势。
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| 关 键 词： | 微信群 会话网络 信息交流 关键节点 社会网络分析 |
| 收稿时间： | 2017-06-02 |
Research on Session Network Structure and Key Node Measure in WeChat Group |
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| Ba Zhichao,Li Gang,Wang Xiao,Li Xianxin.Research on Session Network Structure and Key Node Measure in WeChat Group[J].Library and Information Service,2017,61(20):111-119. |
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| Authors: | Ba Zhichao Li Gang Wang Xiao Li Xianxin |
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| Institution: | Center for Studies of Information Resources, Wuhan University, Wuhan 430072 |
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| Abstract: | Purpose/significance] WeChat group has complex conversational structure, and it's of far-reaching significance for understanding the WeChat users' information behavior and communication model to explore the network structure, role types and interrelation between them. Method/process] Based on real dialogue sample as study object, the behavior network was constructed by using the@relation and communication strength between users as edge weight. The methods of social network analysis and content analysis were introduced to analysis the statistical characteristics of network structure, core member identification and information exchange behavior of in WeChat group, and an influential power model of WeChat users was designed based on volume, viscosity and position indexes.Result/conclusion] The quantity of chats in WeChat group is approximately assumed to be in piecewise power-law distribution, and the power law index is directly proportional to user activity. Meanwhile, the quantity and time distribution of chats, which is inconsistent with the centrality, individual network characteristics and other indicators, can not reflect the users' status and influence in behavior network. Finallly, the information communication in WeChat group is more of a kind of "limited" and "fragmented" communication, and take on a trend of gradual filtering and reduction of public opinion risk between WeChat groups. |
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| Keywords: | WeChat group session network information communication core nodes social network analysis |
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