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題名:基於關注視角的高校微博信息交流實證分析
書刊名:情報科學
作者:劉虹
出版日期:2017
卷期:2017(1)
頁次:148-152
主題關鍵詞:微博信息交流社會網絡分析信息可視化複雜網絡Micro-blogInformation exchangeSocial network analysisInformation visualizationComplex network
原始連結:連回原系統網址new window
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【目的/意義】揭示web2.0環境下的高校間信息交流模式與現實世界中的異同,促進高校間的信息交流與知識共享。【方法/過程】針對Web2.0時代的信息交流呈現出的新特點,以高校微博為研究對象,基于關注視角,利用社會網絡分析方法,從地理位置、隸屬部門和學科類型三個維度分析高校微博關注網絡結構,得出不同子群高校的微博信息交流特征。將發文量、粉絲數、關注數作為高校微博用戶信息交流行為的表征指標,將其與中心度指標進行相關性分析。【結果/結論】結果表明關注網絡中不同身份或地位的高校節點的信息交流特征也存在差異,基于關注關系對高校微博展開的社會網絡分析為社交平臺用戶的信息交流研究提供了新的視角。
【Purpose/significance】By revealing the differences of university informaiton exchange mode between real wordand Web 2.0 to promote the information exchange and sharing.【Method/process】Information communication presents newcharacteristics in the web2.0 age. Fixing micro-blog as the research object, based on the perspective of focus of attention,the paper analyses the network structure from three dimensions of geographical position, subordinate department and disci-pline type.Using social network analysis method, the characteristics of micro-blog information exchange in different subgroups of colleges and universities are obtained. Taking the number of"Weibo", the number of"followers"and the numberof"following"as three information exchange behavior indicators of micro-blog users in colleges and universities, the paperanalyses the correlation between these indicators and the centrality degree indicators.【Result/conclusion】The result showsthat colleges and universities nodes of different identities or ranks in"focus"network have different information exchangecharacteristics. The social network analysis on micro-blogs in colleges and universities based on the perspective of focus ofattention provides a new perspective for the study of the information exchange of social networking platform users.
期刊論文
1.田占偉、隋瑒(2012)。基於複雜網絡理論的微博信息傳播實證分析。圖書情報工作,56(8),42-46。  延伸查詢new window
2.Mayhew, B. H.、Levinger, R. L.(1976)。Size and the density of interaction in human aggregates。American Journal of Sociology,82(1),86-110。  new window
3.Qiu, J. P.、Wu, C.(2011)。Study on the co-author relationship of informetrics based on social net work analysis。Document, Information & Knowledge,144(6),12-17。  new window
4.Zhang, Y.、Ling, W. Y.(2012)。A comparative study of information diffusion in weblogs and micro-blogs based on social network analysis。Journal of Library & Information Science,5(4),51-66。  new window
5.袁毅、楊成明(2011)。微博客用戶信息交流過程中形成的不同社會網絡及其關係實證研究。圖書情報工作,55(12),31-35。  延伸查詢new window
6.Palla, G.、Derényi, I.、Farkas, I.、Vicsek T.(2005)。Uncovering the Overlapping Community Structure of Complex Networks in Nature and Society。Nature,435(7043),814-818。  new window
會議論文
1.Mislove, A.、Marcon, M.、Gummadi, K. P.、Druschel, P.、Bhattacharjee, B.(2007)。Measurement and analysis of online social networks。The 7th ACM SIGCOMM Conference on Internet Measurement。New York, NY:ACM。29-42。  new window
2.Myers, S. A.、Leskovec, J.(2014)。The bursty dynamics of the twitter information network。The 23rd international conference on World wide web。New York:ACM Press。913-924。  new window
3.De Laat, M.(2002)。Network and content analysis in an online community discourse。The conference on computer support for collaborative learning: Foundations for a CSCL community。International Society of the Learning Sciences。625-626。  new window
4.Java, A.、Song, X.、Finin, T.(2007)。Why we twitter: understanding micro-blogging usage and communities。The 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis。New York:ACM Press。56-65。  new window
研究報告
1.中國互聯網絡信息中心(2016)。第37次中國互聯網絡發展狀況統計報告。北京:中國互聯網絡信息中心。  延伸查詢new window
其他
1.深圳視界信息技術有限公司。八爪魚採集器,http://www.bazhuayu.com。  延伸查詢new window
2.中華人民共和國統計局。東西中部和東北地區劃分方法,http://www.stats.gov.cn/ztjc/zthd/sjtjr/dejtjkfr/tjkp/201106/t20110613_71947.htm。  延伸查詢new window
圖書論文
1.Hargittai, E.(2008)。The Digital Reproduction of Inequality。Social Stratification: Class, Race, and Gender in Sociological Perspective。Boulder, CO:Westview Press。  new window
 
 
 
 
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