메뉴 건너뛰기




Volumn , Issue , 2012, Pages 63-68

What does everybody know? Identifying event-specific sources from social media

Author keywords

closeness; event analysis; information gain; long tail; social media; specificity

Indexed keywords

CLOSENESS; EVENT ANALYSIS; INFORMATION GAIN; LONG TAIL; SOCIAL MEDIA; SPECIFICITY;

EID: 84874074707     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CASoN.2012.6412379     Document Type: Conference Paper
Times cited : (8)

References (22)
  • 1
    • 0003258329 scopus 로고    scopus 로고
    • Power-law distribution of the world wide web
    • L. Adamic and B. Huberman. Power-law distribution of the world wide web. Science, 287(5461):2115-2115, 2000.
    • (2000) Science , vol.287 , Issue.5461 , pp. 2115-2115
    • Adamic, L.1    Huberman, B.2
  • 4
    • 80051844454 scopus 로고    scopus 로고
    • Structural and dynamical patterns on online social networks: The Spanish may 15th movement as a case study
    • 08
    • Borge-Holthoefer et al. Structural and dynamical patterns on online social networks: The spanish may 15th movement as a case study. PLoS ONE, 6(8):e23883, 08 2011.
    • (2011) PLoS ONE , vol.6 , Issue.8
    • Borge-Holthoefer1
  • 6
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak
    • 11
    • C. Chew and G. Eysenbach. Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE, 5(11):e14118, 11 2010.
    • (2010) PLoS ONE , vol.5 , Issue.11
    • Chew, C.1    Eysenbach, G.2
  • 9
    • 84859346120 scopus 로고    scopus 로고
    • Framing the Egyptian uprising in Arabic language newspapers and social media
    • N. Hamdy and E. Gomaa. Framing the egyptian uprising in arabic language newspapers and social media. Journal of Communication, 2012.
    • (2012) Journal of Communication
    • Hamdy, N.1    Gomaa, E.2
  • 10
    • 84857159910 scopus 로고    scopus 로고
    • Arab revolutions and the social media effect
    • Z. Harb. Arab revolutions and the social media effect. M/C Journal, 14(2), 2011.
    • (2011) M/C Journal , vol.14 , Issue.2
    • Harb, Z.1
  • 12
    • 70849130360 scopus 로고    scopus 로고
    • Less talk, more rock: Automated organization of community-contributed collections of concert videos
    • New York, NY, USA, ACM
    • L. Kennedy and M. Naaman. Less talk, more rock: automated organization of community-contributed collections of concert videos. In Proceedings of the 18th international conference on World wide web, WWW '09, pages 311-320, New York, NY, USA, 2009. ACM.
    • (2009) Proceedings of the 18th International Conference on World Wide Web, WWW '09 , pp. 311-320
    • Kennedy, L.1    Naaman, M.2
  • 20
    • 77954026162 scopus 로고    scopus 로고
    • Microblogging during two natural hazards events: What twitter may contribute to situational awareness
    • New York, NY, USA, ACM
    • S. Vieweg et al. Microblogging during two natural hazards events: what twitter may contribute to situational awareness. In Proceedings of the 28th international conference on Human factors in computing systems, CHI '10, pages 1079-1088, New York, NY, USA, 2010. ACM.
    • (2010) Proceedings of the 28th International Conference on Human Factors in Computing Systems, CHI '10 , pp. 1079-1088
    • Vieweg, S.1
  • 21
    • 78650516347 scopus 로고    scopus 로고
    • Emergency knowledge management and social media technologies: A case study of the 2010 haitian earthquake
    • D. Yates and S. Paquette. Emergency knowledge management and social media technologies: A case study of the 2010 haitian earthquake. International Journal of Information Management, 31(1):6-13, 2011.
    • (2011) International Journal of Information Management , vol.31 , Issue.1 , pp. 6-13
    • Yates, D.1    Paquette, S.2
  • 22
    • 80052752113 scopus 로고    scopus 로고
    • What do the average twitterers say: A twitter model for public opinion analysis in the face of major political events
    • A. Younus et al. What do the average twitterers say: A twitter model for public opinion analysis in the face of major political events. Social Network Analysis and Mining, International Conference on Advances in, 0:618-623, 2011.
    • (2011) Social Network Analysis and Mining, International Conference on Advances , vol.0 , pp. 618-623
    • Younus, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.