分析Facebook上的恐怖组织

Ala Berzinji, Frzand Sherko Abdullah, Ali Hayder Kakei
{"title":"分析Facebook上的恐怖组织","authors":"Ala Berzinji, Frzand Sherko Abdullah, Ali Hayder Kakei","doi":"10.1109/EISIC.2013.53","DOIUrl":null,"url":null,"abstract":"Nowadays using the Social Networking Sites (SNS) especially Facebook by terrorist groups to spread their ideas among people has grown. In this work we try to monitor those groups by Facebook Operation techniques and then apply an algorithm to detect most active node in the group that can recruit most nodes on Facebook. The algorithm works on centralities to find out the node that is most central in the group.","PeriodicalId":229195,"journal":{"name":"2013 European Intelligence and Security Informatics Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Analysis of Terrorist Groups on Facebook\",\"authors\":\"Ala Berzinji, Frzand Sherko Abdullah, Ali Hayder Kakei\",\"doi\":\"10.1109/EISIC.2013.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays using the Social Networking Sites (SNS) especially Facebook by terrorist groups to spread their ideas among people has grown. In this work we try to monitor those groups by Facebook Operation techniques and then apply an algorithm to detect most active node in the group that can recruit most nodes on Facebook. The algorithm works on centralities to find out the node that is most central in the group.\",\"PeriodicalId\":229195,\"journal\":{\"name\":\"2013 European Intelligence and Security Informatics Conference\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 European Intelligence and Security Informatics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EISIC.2013.53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 European Intelligence and Security Informatics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EISIC.2013.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

如今,恐怖组织利用社交网站(SNS),特别是Facebook,在人们之间传播他们的思想的情况有所增加。在这项工作中,我们试图通过Facebook操作技术来监控这些组,然后应用一种算法来检测组中最活跃的节点,这些节点可以在Facebook上招募最多的节点。该算法通过中心性来找出组中最中心的节点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Terrorist Groups on Facebook
Nowadays using the Social Networking Sites (SNS) especially Facebook by terrorist groups to spread their ideas among people has grown. In this work we try to monitor those groups by Facebook Operation techniques and then apply an algorithm to detect most active node in the group that can recruit most nodes on Facebook. The algorithm works on centralities to find out the node that is most central in the group.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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