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題名:新媒體環境下突發事件網絡輿情話題演進規律研究--以新浪微博“九寨溝地震”話題為例
書刊名:情報科學
作者:李紫薇邢云菲
出版日期:2017
卷期:2017(12)
頁次:39-44+167
主題關鍵詞:新媒體突發事件網絡輿情話題演進New mediaEmergent eventsOnline public opinionTopic evolution
原始連結:連回原系統網址new window
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【目的/意義】隨著新媒體的迅速發展,對新媒體環境下突發事件網絡輿情進行合理管控是輿情管理者面臨的重要問題。對新媒體環境下突發事件網絡輿情話題演進過程進行研究,能夠深入剖析網絡輿情信息傳播規律,幫助輿情管理者采取有效措施進行輿情監測與控制。【方法/過程】通過信息傳播模型把突發事件輿情話題演進過程分為三個階段,即突發期、蔓延期和消散期。并采用實證方法以新浪微博熱點話題"九寨溝地震"為例作為數據源獲取微博發文、轉發、評論信息數據,通過Matlab軟件擬合輿情周期,再使用Gephi繪制可視化云圖,通過網絡結構分析網絡輿情話題演進規律。【結果/結論】對"九寨溝地震"突發事件網絡輿情信息在移動端和非移動端傳播過程進行對比分析,得出移動環境下突發事件網絡輿情話題傳播范圍更廣、傳播周期更長、信息傳播層級更高、意見領袖影響力更大。
【Purpose/significance】With the rapid development of new media, it is an important issue for public opinionmanagers to control the emergent events of online public opinion in the new media environment. Under the new mediaenvironment, the evolution of online public opinion topic can be analyzed in depth, and the public opinion managers cantake effective measures to monitor and control public opinion. 【Method/process】 This paper divided the process ofemergent public opinion into three stages,including outburst, spread period and dissipation.Taking Sina micro-blog hottopic "Jiuzhaigou earthquake" as an example, we used Matlab to fit the period of public opinion,Gephi to draw the chart,and then analyzed network structure to discuss public opinion topic evolution. 【Result/conclusion】 The Jiuzhaigouearthquake emergency network public opinion information were analyzed in the mobile terminal and non mobile terminalcommunication process, the emergency network public opinion topic spread in mobile environment is wider and longer, thedissemination of information dissemination is of higher level, with more influential opinion leaders.
期刊論文
1.Sobkowicz, P.、Kaschesky, M.、Bouchard, G.(2012)。Opinion mining in social media: Modeling, simulating, and forecasting political opinions in the web。Government Information Quarterly,29(4),470-479。  new window
2.Urban, Juliane、Bulkow, Kristin(2013)。Tracing public opinion online--An example of use for social network analysis in communication research。Procedia--Social and Behavioral Sciences,100(7),108-126。  new window
3.陳福集、陳婷(2012)。輿情突發事件演化探析--基於意見領袖引導作用視角。情報資料工作,36(2),23-28。  延伸查詢new window
4.Wang, Guanghui、Liu, Yijun、Li, Jimei(2015)。Superedge coupling algorithm and its application in coupling mechanism analysis of online public opinion supernetwork。Expert Systems with Applications,42(5),2808-2823。  new window
5.張玉亮(2015)。突發事件網絡輿情信息流風險模糊綜合評價研究。情報科學,33(11),100-106。  延伸查詢new window
6.鄭昌興、蘇新寧、劉喜文(2015)。突發事件網絡輿情分析模型構建--基於利益相關者視閾。情報雜誌,34(4),71-75。  延伸查詢new window
7.Woo, J. R.、Choi, J. Y.、Shin, J.(2014)。The effect of new media on consumer media usage: an empirical study in South Korea。Technological Forecasting and Social Change,89,3-11。  new window
8.Workman, Michael(2014)。New media and the changing face of information technology use: the importance of task pursuit, social influence, and experience。Computers in Human Behavior,131,11-117。  new window
9.蘭月新、鄧新元(2011)。突發事件網絡輿情演進規律模型研究。情報雜誌,30(8),47-50。  延伸查詢new window
10.王晰巍、邢雲菲、趙丹、趙軍(2016)。移動環境下網絡輿情信息傳播路徑及傳播規律研究。情報理論與實踐,39(9),107-113。  延伸查詢new window
11.王晰巍、邢雲菲、趙丹、李嘉興(2014)。基於社會網絡分析的移動環境下網絡輿情信息傳播研究--以新浪微博“霧霾”話題為例。圖書情報工作,59(7),14-22。  延伸查詢new window
12.蘭月新、曾潤喜(2013)。突發事件網絡輿情傳播規律與預警階段研究。情報雜誌,32(5),16-19。  延伸查詢new window
13.李勇建、王治瑩(2014)。突發事件中輿情傳播機制與演化博弈分析。中國管理科學,22(11),87-96。  延伸查詢new window
14.強韶華、吳鵬(2014)。突發事件網絡輿情演變過程中網民群體行為仿真研究。現代圖書情報技術,2014(6),71-78。  延伸查詢new window
15.Kim, Kyungmo、Young, Min Baek、Kim, Narae(2015)。Online news diffusion dynamics and public opinion formation: A case study of the controversy over judges' personal opinion expression on SNS in Korea。Social Science Journal,52(2),205-216。  new window
16.Doran, D.、Gokhale, S. S.、Dagnino, A.(2014)。Discovering perceptions in online social media: a probabilistic approach。International Journal of Software Engineering and Knowledge Engineering,24(9),1273-1299。  new window
17.Fowler, Luke(2017)。Tracking state trends in environmental public opinion。The Social Science Journal,54(3),287-294。  new window
18.Seltzer, E. K.、Jean, N. S.、Kramer-Golinkoff, E.(2015)。The content of social media's shared images about Ebola: a retrospective study。Public Health,129(9),1273-1277。  new window
19.劉國巍、程國輝、姜金貴(2015)。時空分異視角下非常規突發事件網絡輿情演化研究--以“上海12.31踩踏事件”為例。情報雜誌,34(6),126-130。  延伸查詢new window
20.杜楊沁、霍有光、鎖志海(2013)。政務微博微觀社會網絡結構實證分析--基於結構洞理論視角。情報雜誌,32(5),25-31。  延伸查詢new window
21.胡吉明、林鑫(2014)。社會網絡環境下用戶關係網絡結構的仿真描述。情報資料工作,2014(2),39-43。  延伸查詢new window
22.王沖、金英偉(2017)。我國高校數字出版專業人才素質建構與培養。現代出版,2017(4),50-52。  延伸查詢new window
23.Freeman, Linton C.(1978)。Centrality in social networks conceptual clarification。Social Networks,1(3),215-239。  new window
學位論文
1.Wise, S. E.(2013)。The impact of intragroup social network topology on group performance : understanding intra-organizational knowledge transfer through a social capital framework(博士論文)。University of Glasgow,Glasgow。  new window
2.Koroleva, Ksenia(2012)。The Role of Social Network Sites in Creating Information Value and Social Capital(博士論文)。Humboldt University of Berlin,Berlin。  new window
圖書
1.Burt, Ronald S.(1992)。Structural Holes: The Social Structure of Competition。Harvard University Press。  new window
其他
1.中國新媒體發展報告,http://www.cssn.cn/zx/bwyc/201706/t20170626_3560419_1.sht⁃ml。  new window
2.互聯網實驗室,浙江傳媒學院互聯網與社會研究中心(2012)。2012年-2013年微博發展研究報告,http://wen⁃ku.baidu.com/view/e11c5aee9e31433239689380.html。  延伸查詢new window
 
 
 
 
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