社交媒体中学术会议信息的建模与应用
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摘要
近年来,社交媒体在学术会议中的使用逐渐广泛,为学术会议的开展带来极大的便利,同时也在社交媒体中产生了大量有价值的学术会议信息。为了解社交媒体中的学术会议信息类别、特点以及应用前景,文章对社交媒体中的学术会议信息进行研究,提出了一种基于用户发文动机的社交媒体中学术会议信息模型。以Twitter为例,收集Twitter中的学术会议信息数据,对数据分布、词频差异等进行分析,总结社交媒体中的学术会议信息特点,并讨论其应用前景。
Recently,the use of social media in academic conferences is getting more and more popular. It brings great convenience to academic conferences and produces a large amount of valuable social media academic conference information. This paper studies the academic conference information to understand the categories,characteristics and application of social media academic conference information. It proposes a social media academic conference information model based on users' posting motivation. Furthermore,taking Twitter as an example,the paper analyzes the data distribution and word frequency of academic conference information and summarizes the characteristics of social media academic conference information. At last,the paper discusses the application prospect of the model.
Recently,the use of social media in academic conferences is getting more and more popular. It brings great convenience to academic conferences and produces a large amount of valuable social media academic conference information. This paper studies the academic conference information to understand the categories,characteristics and application of social media academic conference information. It proposes a social media academic conference information model based on users' posting motivation. Furthermore,taking Twitter as an example,the paper analyzes the data distribution and word frequency of academic conference information and summarizes the characteristics of social media academic conference information. At last,the paper discusses the application prospect of the model.
引文
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[2]LETIERCE J,PASSANT A,BRESLIN J G,et al.Using Twitter during an academic conference:the#iswc2009 use-case[C].International Conference on Weblogs and Social Media.Icwsm 2010.Washington,Dc,Usa,May:DBLP,2010.
[3]ROWE M,STANKOVIC M.Mapping tweets to conference talks:a goldmine for semantics[EB/OL].[2017-11-10].http://www.ceur-ws.org/Vol-664/paper4.pdf.
[4]CHEN B.Is the backchannel enabled?Using Twitter at academic conferences[C].Meeting of the American Educational Research Association.2011.
[5]GILBERT S,PAULIN D.Tweet to learn:expertise and centrality in conference twitter networks[C].2015 48th Hawaii International Conference on System Sciences(HICSS),2015:1920-1929.
[6]ABOUKHALIL R.Using the Twitter API to mine the Twitterverse[J].Crossroads,2013,19(4):52-55.
[7]ZHAO Y Y,QIN B,LIU T.Sentiment analysis[J].Journal of Software,2010,21(8):1834-1848.
[8]THELWALL M,BUCKLEY K,PALTOGLOU G.Sentiment strength detection for the social web[J].Journal of the American Society for Information Science&Technology,2012,63(1):163-173.
[9]HUMPHREYS L,GILL P,KRISHNAMURTHY B,et al.Historicizing new media:a content analysis of Twitter[J].Journal of Communication,2013,63(3):413-431.
[10]YIN H,CUI B,LU H,et al.A unified model for stable and temporal topic detection from social media data[C].IEEE International Conference on Data Engineering.IEEE Computer Society,2013:661-672.
[11]TEUFEL S,SIDDHARTHAN A,DAN T.An annotation scheme for citation function[C]//Proceedings of Sigdial Workshop on Discourse&Dialogue,2006:80-87.
[12]PRIEM J,PIWOWAR H A,HEMMINGER B M.Altmetrics in the wild:using social media to explore scholarly impact[J].Computer Science,2012(5).
[13]由庆斌,韦博,汤珊红.基于补充计量学的论文影响力评价模型构建[J].图书情报工作,2014,58(22):5-11.
[14]Csardi g,nepusz T.The igraph software package for complex network research[EB/OL].[2017-11-10].https://www.researchgate.net/publication/221995787_The_Igraph_Software_Package_for_Complex_Network_Research.