{"title":"“TwitterSpamDetector”","authors":"A. T. Kabakus, R. Kara","doi":"10.4018/ijkss.2019070101","DOIUrl":"https://doi.org/10.4018/ijkss.2019070101","url":null,"abstract":"Twitter is the most popular microblogging platform which lets users post status messages called tweets. This popularity and the advanced API provided by Twitter to read and write Twitter data programmatically attracts the attention of spammers as well as legitimate users. Since Twitter has some unique characteristics, the traditional spam detecting methods cannot be directly used to detect spam on Twitter. Therefore, a spam detection framework which is specially designed for Twitter namely TwitterSpamDetector is proposed in this paper. TwitterSpamDetector uses Twitter-specific features to detect spam on Twitter. 77,033 tweets which are posted by 50,490 users collected using the API provided by Twitter. Naive Bayes is used to train TwitterSpamDetector using the selected features of Twitter which clearly classify the spammers from legitimate users. According to the evaluation result, TwitterSpamDetector's accuracy and sensitivity are calculated as 0.943 and 0.913, respectively.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86769755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Critical Infrastructure Management for Telecommunication Networks","authors":"Haibo Wang, B. Alidaee, Wei Wang, Wei-Bin Ning","doi":"10.4018/ijkss.2014010101","DOIUrl":"https://doi.org/10.4018/ijkss.2014010101","url":null,"abstract":"Telecommunication network infrastructures such as cables, satellites, and cellular towers, play an important role in maintaining the stability of society worldwide. The protection of these critical infrastructures and their supporting structure become highly challenged to both public and private organizations. The understanding of interdependency of these infrastructures is the essential step to protect these infrastructures. This paper presents a critical infrastructure detection model to discover the interdependency based on the model from social network and new telecommunication pathways, while this study focuses on social theory into computational constructs. The policy and procedure of protecting critical infrastructures are discussed, and computational results from the proposed model are presented.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2012-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80866707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Meta-synthesis Knowledge System: Basics and Practice","authors":"Gu Jifa","doi":"10.4018/JKSS.2010010105","DOIUrl":"https://doi.org/10.4018/JKSS.2010010105","url":null,"abstract":"Meta-synthesis knowledge system MSKS is based on the meta-synthesis system approach and knowledge science. This article introduces the basic theory of meta-synthesis knowledge system like DMTMC system, model integration, opinion synthesis, consensus building and expert mining. Similar MSKS systems are illustrated. Case studies and examples are also explored in this article.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/JKSS.2010010105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Systems Thinking for the 21st Century","authors":"G. Midgley","doi":"10.1007/978-1-4615-1313-1_27","DOIUrl":"https://doi.org/10.1007/978-1-4615-1313-1_27","url":null,"abstract":"","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2000-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-4615-1313-1_27","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50988063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}