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Volumn 11, Issue 2, 2014, Pages 119-127

Big data modeling and analysis of microblog ecosystem

Author keywords

microblog ecosystem; Microblog mining; user activity pattern; user intention; user personalization

Indexed keywords

AUTOMATION; COMPUTER APPLICATIONS; ECOLOGY; ECOSYSTEMS; INFORMATION ANALYSIS; SOCIAL NETWORKING (ONLINE);

EID: 84898474250     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-014-0774-9     Document Type: Article
Times cited : (17)

References (25)
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  • 3
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    • The origin of bursts and heavy tails in human dynamics
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    • Barabási, A.L.1
  • 11
    • 84858057957 scopus 로고    scopus 로고
    • A. Rappoport. What's in a hashtag? Content based prediction of the spread of ideas in microblogging communities
    • Seattle, USA: ACM
    • O. Tsur, A. Rappoport. What's in a hashtag? Content based prediction of the spread of ideas in microblogging communities. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM'12), ACM, Seattle, USA, pp. 643-652, 2012.
    • (2012) Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM'12) , pp. 643-652
    • Tsur, O.1
  • 13
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    • Effective and efficient feature selection for large-scale data using Bayes' theorem
    • S. A. A. Balamurugan, R. Rajaram. Effective and efficient feature selection for large-scale data using Bayes' theorem. International Journal of Automation and Computing, vol. 6, no. 1, pp. 62-71, 2009.
    • (2009) International Journal of Automation and Computing , vol.6 , Issue.1 , pp. 62-71
    • Balamurugan, S.A.A.1    Rajaram, R.2
  • 19
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    • Discovery of unusual regional social activities using geo-tagged microblogs
    • R. Lee, S. Wakamiya, K. Sumiya. Discovery of unusual regional social activities using geo-tagged microblogs. World Wide Web, vol. 14, no. 4, pp. 321-349, 2011.
    • (2011) World Wide Web , vol.14 , Issue.4 , pp. 321-349
    • Lee, R.1    Wakamiya, S.2    Sumiya, K.3
  • 22
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    • An empirical study on the relationship between the followers' number and influence of microblogging
    • Guangzhou, China: IEEE
    • R. Wang, Y. S. Jin. An empirical study on the relationship between the followers' number and influence of microblogging. In Proceedings of the 2010 International Conference on E-Business and E-Government (ICEE), IEEE, Guangzhou, China, pp. 2014-2017, 2010.
    • (2010) Proceedings of the 2010 International Conference on E-Business and E-Government (ICEE) , pp. 2014-2017
    • Wang, R.1    Jin, Y.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.