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Volumn , Issue , 2012, Pages 71-80

Analyzing spammers'social networks for fun and profit: A case study of cyber criminal ecosystem on Twitter

Author keywords

Ecosystem; Online social network; Spammer

Indexed keywords

CYBER CRIMINALS; EMPIRICAL ANALYSIS; INFERENCE ALGORITHM; ONLINE SOCIAL NETWORKS; SMALL WORLD NETWORKS; SOCIAL GRAPHS; SOCIAL NETWORKS; SOCIAL RELATIONSHIPS; SPAMMER; SPAMMERS;

EID: 84860872656     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187836.2187847     Document Type: Conference Paper
Times cited : (271)

References (38)
  • 2
  • 3
    • 84872102454 scopus 로고    scopus 로고
    • Capture HPC. https://projects.honeynet.org/capture-hpc.
    • Capture HPC
  • 8
    • 84893527887 scopus 로고    scopus 로고
    • The Twitter Rules. http://help.twitter.com/entries/18311-the-twitter- rules.
    • The Twitter Rules
  • 13
    • 84860879854 scopus 로고    scopus 로고
    • Twitter's Following Limits. http://support.twitter.com/groups/32- something-s-not-working/topics/117-following-problems/articles/ 66885-i-can-t-follow-people-follow-limits.
    • Twitter's Following Limits.
  • 23
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • J. Kleinberg. Authoritative sources in a hyperlinked environment. In Journal of the ACM, Vol.46, No. 5, pp. 604-632, 1999.
    • (1999) Journal of the ACM , vol.46 , Issue.5 , pp. 604-632
    • Kleinberg, J.1
  • 26
    • 77956044597 scopus 로고    scopus 로고
    • Uncovering social spammers: Social honeypots + machine learning
    • K. Lee, J. Caverlee, and S. Webb. Uncovering Social Spammers: Social Honeypots + Machine Learning. In ACM SIGIR Conference (SIGIR), 2010.
    • (2010) ACM SIGIR Conference (SIGIR)
    • Lee, K.1    Caverlee, J.2    Webb, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.