高校新媒体信息传播网络结构及其演化特征  

Structure and Evolution Feature on Information Transmission Network of University New Media

作　　者：赵蓉英[1,2,3] 李新来 李丹阳[1,3] ZHAO Rong-ying;LI Xin-lai;LI Dan-yang(Research Center for Chinese Science Evaluation,Wuhan University,Wuhan 430072,China;Center for Studies of Information Resources,Wuhan University,Wuhan 430072,China;School of Information Management,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学中国科学评价研究中心,湖北武汉430072 [2]武汉大学信息资源研究中心,湖北武汉430072 [3]武汉大学信息管理学院,湖北武汉430072

出　　处：《情报科学》2022年第6期3-11,共9页Information Science

基　　金：国家社会科学基金重大项目“构建中国话语权的评价科学理论、方法与应用体系研究”(18ZDA325)。

摘　　要：【目的/意义】分析高校新媒体的信息传播网络结构及演化特征,有利于推动高校信息的有效传播,提升舆论引导力。【方法/过程】以高校官方微博为例,本文对高校新媒体信息传播网络密度特征、网络中心性特征、网络结构特征、地域路径及情感路径特征进行了分析,最后运用BA无标度网络模型对高校新媒体信息传播网络结构的演化特征进行了仿真模拟。【结果/结论】高校新媒体信息传播网络具有较小的聚类系数、较短的网络平均路径,节点的度分布符合幂律规律;高校新媒体影响力正在突破传统地域影响;高校信息传播中以积极情感为主,网络舆情事件对情感影响较大;随着节点增加,网络平均度经过前期快速增长后会稳定在某个恒定值左右,网络平均路径长度则一直呈现增长趋势。最后本文提出了改善高校新媒体信息传播网络结构的建议。【创新/局限】在今后的研究中需要进一步扩大数据样本和时间跨度。【Purpose/significance】The paper analyzes the form structure and evolution feature on information transmission network of university new media,so as to promote the effective information dissemination and enhance the guidance of public opinion.【Method/process】Taking official microblogs of universities as examples,this paper analyzes the characteristics of information transmission network density network centrality,network structure,regional path and emotional path.Finally,BA scale-free network model is used to simulate the evolution feature on information transmission network of university new media.【Result/conclusion】The new media information transmission network of colleges and universities has small clustering coefficient,short network average path.and the degree distribution of nodes has the rule of power law exponent.The influence of university new media is surpassing the traditional regional influence.The communication is dominated by positive emotions,and online public opinion events have a great impact on emotions.With the increase of nodes,the average degree of the network will stabilize around a certain value after rapid growth,and the average path length of the network has been showing an increasing trend.Finally,this paper puts forward suggestions to improve the structure of information transmission network of university new media.【Innovation/limitation】Further expansion of data sample and time span is needed in future research.

关 键 词：高校新媒体 微博 信息传播网络 网络结构 演化特征 

分 类 号：G647[文化科学—高等教育学]