Social Networks Peacebuilding Event Mining: A Systematic Literature Review

Muniba Shaikh, Norsaremah Salleh, Lili Marziana
{"title":"Social Networks Peacebuilding Event Mining: A Systematic Literature Review","authors":"Muniba Shaikh, Norsaremah Salleh, Lili Marziana","doi":"10.1109/ACSAT.2014.28","DOIUrl":null,"url":null,"abstract":"Social Networks (SNs) becomes one of the essential platform for reporting real time events now a days. SNs has been used by millions of people around the world for sharing thoughts and daily life events on many topics, either it is political, crisis, Peace building (Pb). The objective of this paper is to get insight of Pb Event Mining (EM) from SNs (e.g., Tweets, Fb posts, etc) by conducting the Systematic Literature Review (SLR) process. The paper aims to answer some research questions (RQs) that includes, 1) Which SN's has been widely used for Textual Pb Event Mining PbEM?, 2) What Context or setting has been focussed of PbEM studies and how to categorize Pb events?, and 3) What other types of events (non-Pb) are reported? The SLR process has been used to identify the related literature and for analysis of evidences in order to answer the RQs. This paper concluded on the basis of SLR studies that the \"Twitter\" is widely used SN for Textual PbEM because 54 out of 64 studies on PbEM uses Twitter. SLR resulted that earth quake (EQ) events are the major concerned events that effect country's economy and peace therefore most of studies uses the EQ as context/setting. The paper presents the details on categories of Pb events, contexts/settings and the list of other types of events or topics that are the center of the research now a days based on synthesis of evidences.","PeriodicalId":137452,"journal":{"name":"2014 3rd International Conference on Advanced Computer Science Applications and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd International Conference on Advanced Computer Science Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSAT.2014.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Social Networks (SNs) becomes one of the essential platform for reporting real time events now a days. SNs has been used by millions of people around the world for sharing thoughts and daily life events on many topics, either it is political, crisis, Peace building (Pb). The objective of this paper is to get insight of Pb Event Mining (EM) from SNs (e.g., Tweets, Fb posts, etc) by conducting the Systematic Literature Review (SLR) process. The paper aims to answer some research questions (RQs) that includes, 1) Which SN's has been widely used for Textual Pb Event Mining PbEM?, 2) What Context or setting has been focussed of PbEM studies and how to categorize Pb events?, and 3) What other types of events (non-Pb) are reported? The SLR process has been used to identify the related literature and for analysis of evidences in order to answer the RQs. This paper concluded on the basis of SLR studies that the "Twitter" is widely used SN for Textual PbEM because 54 out of 64 studies on PbEM uses Twitter. SLR resulted that earth quake (EQ) events are the major concerned events that effect country's economy and peace therefore most of studies uses the EQ as context/setting. The paper presents the details on categories of Pb events, contexts/settings and the list of other types of events or topics that are the center of the research now a days based on synthesis of evidences.
社会网络建设和平事件挖掘:系统文献综述
如今,社交网络(SNs)成为实时报道事件的重要平台之一。世界各地数以百万计的人们使用社交网络来分享各种话题的想法和日常生活事件,无论是政治、危机还是建设和平(Pb)。本文的目的是通过进行系统文献综述(SLR)过程,从SNs(例如Tweets, Fb帖子等)中获得Pb事件挖掘(EM)的见解。本文旨在回答一些研究问题(RQs),包括:1)哪些SN被广泛用于文本Pb事件挖掘PbEM?2) pbm研究的主要背景和环境是什么?如何对铅事件进行分类?3)报告了哪些其他类型的事件(非pb) ?单反过程已被用于识别相关文献和分析证据,以回答rq。本文在SLR研究的基础上得出结论,“Twitter”是文本PbEM中被广泛使用的SN,因为64项关于PbEM的研究中有54项使用了Twitter。SLR结果表明,地震(EQ)事件是影响国家经济与和平的主要关注事件,因此大多数研究使用EQ作为背景/设置。本文在综合证据的基础上,详细介绍了Pb事件的类别、背景/设置以及当今研究中心的其他类型事件或主题的列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信