메뉴 건너뛰기




Volumn , Issue , 2012, Pages 1194-1199

Detecting spam and promoting campaigns in the Twitter social network

Author keywords

Campaign detect; Similarity measure; Social spam

Indexed keywords

CAMPAIGN DETECT; ESTIMATION METHODS; HIGH PRECISION; LARGE-SCALE DATASET; MACHINE LEARNING METHODS; MULTIPLE FEATURES; SIMILARITY MEASURE; SOCIAL SPAM; SPAMMERS; TWITTER SOCIAL NETWORKS;

EID: 84874032132     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2012.28     Document Type: Conference Paper
Times cited : (101)

References (26)
  • 3
    • 72449133353 scopus 로고    scopus 로고
    • Detecting spammers and content promoters in online video social networks
    • ACM
    • F. Benevenuto, T. Rodrigues, V. Almeida, J. Almeida, and M. Gonçalves. Detecting spammers and content promoters in online video social networks. In SIGIR, pages 620-627. ACM, 2009.
    • (2009) SIGIR , pp. 620-627
    • Benevenuto, F.1    Rodrigues, T.2    Almeida, V.3    Almeida, J.4    Gonçalves, M.5
  • 4
    • 84858057688 scopus 로고    scopus 로고
    • Using language modeling for spam detection in social reference manager websites
    • Citeseer
    • T. Bogers and A. Van den Bosch. Using language modeling for spam detection in social reference manager websites. In DIR, pages 87-94. Citeseer, 2009.
    • (2009) DIR , pp. 87-94
    • Bogers, T.1    Van Den Bosch, A.2
  • 5
    • 74549140893 scopus 로고    scopus 로고
    • A co-classification framework for detecting web spam and spammers in social media web sites
    • ACM
    • F. Chen, P.N. Tan, and A.K. Jain. A co-classification framework for detecting web spam and spammers in social media web sites. In CIKM, pages 1807-1810. ACM, 2009.
    • (2009) CIKM , pp. 1807-1810
    • Chen, F.1    Tan, P.N.2    Jain, A.K.3
  • 6
    • 80053229463 scopus 로고    scopus 로고
    • An empirical study on learning to rank of tweets
    • Association for Computational Linguistics
    • Y. Duan, L. Jiang, T. Qin, M. Zhou, and H.Y. Shum. An empirical study on learning to rank of tweets. In COLING, pages 295-303. Association for Computational Linguistics, 2010.
    • (2010) COLING , pp. 295-303
    • Duan, Y.1    Jiang, L.2    Qin, T.3    Zhou, M.4    Shum, H.Y.5
  • 7
    • 78650880229 scopus 로고    scopus 로고
    • Detecting and characterizing social spam campaigns
    • ACM
    • H. Gao, J. Hu, C. Wilson, Z. Li, Y. Chen, and B.Y. Zhao. Detecting and characterizing social spam campaigns. In IMC, pages 35-47. ACM, 2010.
    • (2010) IMC , pp. 35-47
    • Gao, H.1    Hu, J.2    Wilson, C.3    Li, Z.4    Chen, Y.5    Zhao, B.Y.6
  • 8
    • 78650005374 scopus 로고    scopus 로고
    • Spam: The underground on 140 characters or less
    • ACM
    • C. Grier, K. Thomas, V. Paxson, and M. Zhang. @ spam: the underground on 140 characters or less. In CCS, pages 27-37. ACM, 2010.
    • (2010) CCS , pp. 27-37
    • Grier, C.1    Thomas, K.2    Paxson, V.3    Zhang, M.4
  • 9
    • 77955746931 scopus 로고    scopus 로고
    • Method for countering social bookmarking pollution using user similarities
    • T. Hatanaka and H. Hisamatsu. Method for countering social bookmarking pollution using user similarities. Networked Digital Technologies, pages 523-528, 2010.
    • (2010) Networked Digital Technologies , pp. 523-528
    • Hatanaka, T.1    Hisamatsu, H.2
  • 10
    • 36348956237 scopus 로고    scopus 로고
    • Fighting spam on social web sites: A survey of approaches and future challenges
    • P. Heymann, G. Koutrika, and H. Garcia-Molina. Fighting spam on social web sites: A survey of approaches and future challenges. Internet Computing, IEEE, 11(6):36-45, 2007.
    • (2007) Internet Computing, IEEE , vol.11 , Issue.6 , pp. 36-45
    • Heymann, P.1    Koutrika, G.2    Garcia-Molina, H.3
  • 11
    • 70849091579 scopus 로고    scopus 로고
    • Ranking comments on the social web
    • IEEE
    • C.F. Hsu, E. Khabiri, and J. Caverlee. Ranking comments on the social web. In CSE, volume 4, pages 90-97. IEEE, 2009.
    • (2009) CSE , vol.4 , pp. 90-97
    • Hsu, C.F.1    Khabiri, E.2    Caverlee, J.3
  • 12
    • 84904822464 scopus 로고    scopus 로고
    • Study of trend-stuffing on twitter through text classification
    • D. Irani, S. Webb, C. Pu, and K. Li. Study of trend-stuffing on twitter through text classification. In CEAS, 2010.
    • (2010) CEAS
    • Irani, D.1    Webb, S.2    Pu, C.3    Li, K.4
  • 13
    • 84863768271 scopus 로고    scopus 로고
    • Socialspamguard: A data mining-based spam detection system for social media networks
    • X. Jin, C.X. Lin, J. Luo, and J. Han. Socialspamguard: A data mining-based spam detection system for social media networks. PVLDB, pages 1458-1461, 2011.
    • (2011) PVLDB , pp. 1458-1461
    • Jin, X.1    Lin, C.X.2    Luo, J.3    Han, J.4
  • 14
    • 77954631100 scopus 로고    scopus 로고
    • The utility of tweeted URLS for web search
    • ACM
    • V. Kandylas and A. Dasdan. The utility of tweeted urls for web search. In WWW, pages 1127-1128. ACM, 2010.
    • (2010) WWW , pp. 1127-1128
    • Kandylas, V.1    Dasdan, A.2
  • 15
    • 63049101066 scopus 로고    scopus 로고
    • The antisocial tagger: Detecting spam in social bookmarking systems
    • ACM
    • B. Krause, C. Schmitz, A. Hotho, and G. Stumme. The antisocial tagger: detecting spam in social bookmarking systems. In AIRWeb, pages 61-68. ACM, 2008.
    • (2008) AIRWeb , pp. 61-68
    • Krause, B.1    Schmitz, C.2    Hotho, A.3    Stumme, G.4
  • 16
    • 83055187614 scopus 로고    scopus 로고
    • Content-driven detection of campaigns in social media
    • ACM
    • K. Lee, J. Caverlee, Z. Cheng, and D.Z. Sui. Content-driven detection of campaigns in social media. In CIKM, pages 551- 556. ACM, 2011.
    • (2011) CIKM , pp. 551-556
    • Lee, K.1    Caverlee, J.2    Cheng, Z.3    Sui, D.Z.4
  • 17
    • 77956044597 scopus 로고    scopus 로고
    • Uncovering social spammers: Social honeypots+ machine learning
    • ACM
    • K. Lee, J. Caverlee, and S. Webb. Uncovering social spammers: social honeypots+ machine learning. In SIGIR, pages 435-442. ACM, 2010.
    • (2010) SIGIR , pp. 435-442
    • Lee, K.1    Caverlee, J.2    Webb, S.3
  • 19
    • 72449186612 scopus 로고    scopus 로고
    • Telling experts from spammers: Expertise ranking in folksonomies
    • ACM
    • M.G. Noll, C. Au Yeung, N. Gibbins, C. Meinel, and N. Shadbolt. Telling experts from spammers: expertise ranking in folksonomies. In SIGIR, pages 612-619. ACM, 2009.
    • (2009) SIGIR , pp. 612-619
    • Noll, M.G.1    Au Yeung, C.2    Gibbins, N.3    Meinel, C.4    Shadbolt, N.5
  • 20
    • 77950923058 scopus 로고    scopus 로고
    • Ranking mechanisms in twitter-like forums
    • ACM
    • A.D. Sarma, A.D. Sarma, S. Gollapudi, and R. Panigrahy. Ranking mechanisms in twitter-like forums. In WSDM, pages 21-30. ACM, 2010.
    • (2010) WSDM , pp. 21-30
    • Sarma, A.D.1    Sarma, A.D.2    Gollapudi, S.3    Panigrahy, R.4
  • 22
    • 83055179234 scopus 로고    scopus 로고
    • User oriented tweet ranking: A filtering approach to microblogs
    • ACM
    • I. Uysal and W.B. Croft. User oriented tweet ranking: a filtering approach to microblogs. In CIKM, pages 2261-2264. ACM, 2011.
    • (2011) CIKM , pp. 2261-2264
    • Uysal, I.1    Croft, W.B.2
  • 23
    • 78651420679 scopus 로고    scopus 로고
    • Don't follow me: Spam detection in twitter
    • IEEE
    • A.H. Wang. Don't follow me: Spam detection in twitter. In SECRYPT, pages 1-10. IEEE, 2010.
    • (2010) SECRYPT , pp. 1-10
    • Wang, A.H.1
  • 24
    • 80053654994 scopus 로고    scopus 로고
    • A social-spam detection framework
    • ACM
    • D. Wang, D. Irani, and C. Pu. A social-spam detection framework. In CEAS, pages 46-54. ACM, 2011.
    • (2011) CEAS , pp. 46-54
    • Wang, D.1    Irani, D.2    Pu, C.3
  • 25
    • 57149125154 scopus 로고    scopus 로고
    • CSV: Visualizing and mining cohesive subgraphs
    • ACM
    • N. Wang, S. Parthasarathy, K.L. Tan, and A.K.H. Tung. Csv: visualizing and mining cohesive subgraphs. In SIGMOD, pages 445-458. ACM, 2008.
    • (2008) SIGMOD , pp. 445-458
    • Wang, N.1    Parthasarathy, S.2    Tan, K.L.3    Tung, A.K.H.4
  • 26
    • 78751514668 scopus 로고    scopus 로고
    • Turank: Twitter user ranking based on user-tweet graph analysis
    • Springer
    • Y. Yamaguchi, T. Takahashi, T. Amagasa, and H. Kitagawa. Turank: Twitter user ranking based on user-tweet graph analysis. In WISE, pages 240-253. Springer, 2010.
    • (2010) WISE , pp. 240-253
    • Yamaguchi, Y.1    Takahashi, T.2    Amagasa, T.3    Kitagawa, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.