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Volumn 18, Issue 3, 2014, Pages 370-384

Detecting non-personal and spam users on geo-tagged twitter network

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; GRAPHIC METHODS; SENTIMENT ANALYSIS; SOCIAL SCIENCES COMPUTING;

EID: 84902269350     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/tgis.12101     Document Type: Article
Times cited : (48)

References (28)
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    • "OMG, from here, I can see the flames!": A use case of mining location based social networks to acquire spatio-temporal data on forest fires
    • Seattle, Washington
    • Bertrand De L, Robin S S, and Gianluca L 2009 "OMG, from here, I can see the flames!": A use case of mining location based social networks to acquire spatio-temporal data on forest fires. In Proceedings of the International Workshop on Location Based Social Networks, Seattle, Washington
    • (2009) Proceedings of the International Workshop on Location Based Social Networks
    • Bertrand De, L.1    Robin, S.S.2    Gianluca, L.3
  • 7
    • 79953762206 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Go A, Bhayani R, and Huang L 2009 Twitter sentiment classification using distant supervision. Processing 150(12): 1-6
    • (2009) Processing , vol.150 , Issue.12 , pp. 1-6
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 10
    • 58449115775 scopus 로고    scopus 로고
    • Social networks that matter: Twitter under the microscope
    • Huberman B A, Romero D M, and Fang W 2009 Social networks that matter: Twitter under the microscope. First Monday 14(1): 1-5
    • (2009) First Monday , vol.14 , Issue.1 , pp. 1-5
    • Huberman, B.A.1    Romero, D.M.2    Fang, W.3
  • 13
    • 84874648289 scopus 로고    scopus 로고
    • Detecting malicious tweets in trending topics using a statistical analysis of language
    • Martinez-Romo J and Araujo L 2013 Detecting malicious tweets in trending topics using a statistical analysis of language. Expert Systems Applications 40: 2992-3000
    • (2013) Expert Systems Applications , vol.40 , pp. 2992-3000
    • Martinez-Romo, J.1    Araujo, L.2
  • 22
    • 77958488685 scopus 로고    scopus 로고
    • Detecting spam bots in online social networking sites: A machine learning approach
    • In Foresti S and Jajodia S (eds) BerlSpringer Lecture Notes in Computer Science
    • Wang A H 2010a Detecting spam bots in online social networking sites: A machine learning approach. In Foresti S and Jajodia S (eds) Data and Applications Security and Privacy XXIV. BerlSpringer Lecture Notes in Computer Science Vol. 6166: 335-342
    • (2010) Data and Applications Security and Privacy XXIV , vol.6166 , pp. 335-342
    • Wang, A.H.1
  • 27
    • 67650699275 scopus 로고    scopus 로고
    • Accuracy of iPhone locations: A comparison of assisted GPS, WiFi and cellular positioning
    • Zandbergen P A 2009 Accuracy of iPhone locations: A comparison of assisted GPS, WiFi and cellular positioning. Transactions in GIS 13(s1): 5-25
    • (2009) Transactions in GIS , vol.13 , Issue.s1 , pp. 5-25
    • Zandbergen, P.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.