메뉴 건너뛰기




Volumn , Issue , 2016, Pages 179-192

Social clicks: What and who gets read on twitter?

Author keywords

[No Author keywords available]

Indexed keywords

CONTRAST MEDIA; DIGITAL STORAGE;

EID: 84978634582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2896377.2901462     Document Type: Conference Paper
Times cited : (146)

References (32)
  • 1
    • 84906861985 scopus 로고    scopus 로고
    • Who watches (and shares) what on YouTube? And when?: Using Twitter to understand YouTube viewership
    • New York, NY, USA, Feb
    • A. Abisheva, V. R. K. Garimella, D. Garcia, and I. Weber. Who watches (and shares) what on YouTube? And when?: Using Twitter to understand YouTube viewership. In Proc. of ACM WSDM'14. New York, NY, USA, Feb. 2014.
    • (2014) Proc. of ACM WSDM'14
    • Abisheva, A.1    Garimella, V.R.K.2    Garcia, D.3    Weber, I.4
  • 2
    • 84958161527 scopus 로고    scopus 로고
    • The political blogosphere and the 2004 U.S. Election: Divided they blog
    • Chicago, IL, USA, Aug
    • L. A. Adamic and N. Glance. The political blogosphere and the 2004 U.S. election: divided they blog. In Proc. of ACM SIGKDD LinkKDD'05. Chicago, IL, USA, Aug. 2005.
    • (2005) Proc. of ACM SIGKDD LinkKDD'05
    • Adamic, L.A.1    Glance, N.2
  • 3
    • 79952397059 scopus 로고    scopus 로고
    • Everyone's an influencer: Quantifying influence on Twitter
    • Hong Kong, PRC, Feb
    • E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts. Everyone's an influencer: quantifying influence on Twitter. In Proc. of ACM WSDM'11. Hong Kong, PRC, Feb. 2011.
    • (2011) Proc. of ACM WSDM'11
    • Bakshy, E.1    Hofman, J.M.2    Mason, W.A.3    Watts, D.J.4
  • 4
    • 84890768200 scopus 로고    scopus 로고
    • Measuring user influence in Twitter: The million follower fallacy
    • Washington, DC, USA, May
    • M. Cha, H. Haddadi, F. Benevenuto, and K. Gummadi. Measuring user influence in Twitter: The million follower fallacy. In Proc. of AAAI ICWSM'10, Washington, DC, USA, May 2010.
    • (2010) Proc. of AAAI ICWSM'10
    • Cha, M.1    Haddadi, H.2    Benevenuto, F.3    Gummadi, K.4
  • 5
    • 70350561808 scopus 로고    scopus 로고
    • Analyzing the video popularity characteristics of large-scale user generated content systems
    • M. Cha, H. Kwak, P. Rodriguez, Y.-Y. Ahn, and S. Moon. Analyzing the video popularity characteristics of large-scale user generated content systems. IEEE/ACM TON, 17(5):1357-1370, 2009.
    • (2009) IEEE/ACM TON , vol.17 , Issue.5 , pp. 1357-1370
    • Cha, M.1    Kwak, H.2    Rodriguez, P.3    Ahn, Y.-Y.4    Moon, S.5
  • 6
    • 57349194232 scopus 로고    scopus 로고
    • Robust dynamic classes revealed by measuring the response function of a social system
    • Oct
    • R. Crane and D. Sornette. Robust dynamic classes revealed by measuring the response function of a social system. In PNAS, 105(41):15649-15653, Oct. 2008.
    • (2008) PNAS , vol.105 , Issue.41 , pp. 15649-15653
    • Crane, R.1    Sornette, D.2
  • 8
    • 84904347695 scopus 로고    scopus 로고
    • Studying social networks at scale: Macroscopic anatomy of the Twitter social graph
    • Austin, TX, USA, Jun
    • M. Gabielkov, A. Rao, and A. Legout. Studying social networks at scale: macroscopic anatomy of the Twitter social graph. In Proc. of ACM SIGMETRICS'14, Austin, TX, USA, Jun. 2014.
    • (2014) Proc. of ACM SIGMETRICS'14
    • Gabielkov, M.1    Rao, A.2    Legout, A.3
  • 9
    • 77950954197 scopus 로고    scopus 로고
    • Anatomy of the long tail: Ordinary people with extraordinary tastes
    • New York, NY, USA, Feb
    • S. Goel, A. Broder, E. Gabrilovich, and B. Pang. Anatomy of the long tail: ordinary people with extraordinary tastes. In Proc. of ACM WSDM'10, New York, NY, USA, Feb. 2010.
    • (2010) Proc. of ACM WSDM'10
    • Goel, S.1    Broder, A.2    Gabrilovich, E.3    Pang, B.4
  • 10
    • 84857768001 scopus 로고    scopus 로고
    • Inferring networks of diffusion and influence
    • Feb
    • M. Gomez-Rodriguez, J. Leskovec, and A. Krause. Inferring networks of diffusion and influence. ACM TKDD, 5(4), Feb. 2012.
    • (2012) ACM TKDD , vol.5 , Issue.4
    • Gomez-Rodriguez, M.1    Leskovec, J.2    Krause, A.3
  • 11
    • 84892982625 scopus 로고    scopus 로고
    • Self-organizing flows in social networks
    • Ischia, Italy, Jul
    • N. Hegde, L. Massoulié, and L. Viennot. Self-organizing flows in social networks. In Proc. of SIROCCO'13, pages 116-128, Ischia, Italy, Jul. 2013.
    • (2013) Proc. of SIROCCO'13 , pp. 116-128
    • Hegde, N.1    Massoulié, L.2    Viennot, L.3
  • 12
    • 34248979835 scopus 로고
    • The two-step flow of communication: An up-to-date report on an hypothesis
    • E. Katz. The two-step flow of communication: An up-to-date report on an hypothesis. Public Opinion Quarterly, 21(1):61, 1957.
    • (1957) Public Opinion Quarterly , vol.21 , Issue.1 , pp. 61
    • Katz, E.1
  • 13
    • 33747172362 scopus 로고    scopus 로고
    • Maximizing the spread of influence through a social network
    • Washington, DC, USA, Aug
    • D. Kempe, J. M. Kleinberg, and É. Tardos. Maximizing the spread of influence through a social network. In Proc. of ACM SIGKDD KDD'03, Washington, DC, USA, Aug. 2003.
    • (2003) Proc. of ACM SIGKDD KDD'03
    • Kempe, D.1    Kleinberg, J.M.2    Tardos, E.3
  • 15
    • 70449643291 scopus 로고    scopus 로고
    • Efficient control of epidemics over random networks
    • Seattle, WA, USA, June
    • M. Lelarge. Efficient control of epidemics over random networks. In Proc. of ACM SIGMETRICS'09, Seattle, WA, USA, June 2009.
    • (2009) Proc. of ACM SIGMETRICS'09
    • Lelarge, M.1
  • 16
    • 84860612945 scopus 로고    scopus 로고
    • Diffusion and cascading behavior in random networks
    • Jul
    • M. Lelarge. Diffusion and cascading behavior in random networks. Games and Economic Behavior, 75(2):752-775, Jul. 2012.
    • (2012) Games and Economic Behavior , vol.75 , Issue.2 , pp. 752-775
    • Lelarge, M.1
  • 17
    • 42449155545 scopus 로고    scopus 로고
    • Tracing information flow on a global scale using Internet chain-letter data
    • D. Liben-Nowell and J. M. Kleinberg. Tracing information flow on a global scale using Internet chain-letter data. In PNAS, 105(12):4633, 2008.
    • (2008) PNAS , vol.105 , Issue.12 , pp. 4633
    • Liben-Nowell, D.1    Kleinberg, J.M.2
  • 18
    • 0001371817 scopus 로고
    • Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence
    • Nov
    • C. G. Lord, L. Ross, and M. R. Lepper. Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37(11):2098, Nov. 1979.
    • (1979) Journal of Personality and Social Psychology , vol.37 , Issue.11 , pp. 2098
    • Lord, C.G.1    Ross, L.2    Lepper, M.R.3
  • 23
    • 84904301910 scopus 로고    scopus 로고
    • On maximizing diffusion speed in social networks
    • Austin, TX, USA, Jun
    • J. Ok, Y. Jin, J. Shin, and Y. Yi. On maximizing diffusion speed in social networks. In Proc. of ACM SIGMETRICS'14, Austin, TX, USA, Jun. 2014.
    • (2014) Proc. of ACM SIGMETRICS'14
    • Ok, J.1    Jin, Y.2    Shin, J.3    Yi, Y.4
  • 24
    • 84864870003 scopus 로고    scopus 로고
    • Locating the source of diffusion in large-scale networks
    • Aug
    • P. Pinto, P. Thiran, and M. Vetterli. Locating the source of diffusion in large-scale networks. Physical review letters, 109(6):068702, Aug. 2012.
    • (2012) Physical Review Letters , vol.109 , Issue.6 , pp. 068702
    • Pinto, P.1    Thiran, P.2    Vetterli, M.3
  • 25
    • 77955233534 scopus 로고    scopus 로고
    • Predicting the popularity of online content
    • Aug
    • G. Szabo and B. A. Huberman. Predicting the popularity of online content. Communications of the ACM, 53(8), Aug. 2010.
    • (2010) Communications of the ACM , vol.53 , Issue.8
    • Szabo, G.1    Huberman, B.A.2
  • 26
    • 85051507706 scopus 로고    scopus 로고
    • Measuring click and share dynamics on social media: A reproducible and validated approach
    • Cologne, Germany, May
    • L. Wang, A. Ramachandran and A. Chaintreau. Measuring click and share dynamics on social media: A reproducible and validated approach. In. Proc. of AAAI ICWSM NECO'16, Cologne, Germany, May 2016.
    • (2016) Proc. of AAAI ICWSM NECO'16
    • Wang, L.1    Ramachandran, A.2    Chaintreau, A.3
  • 27
    • 84954210060 scopus 로고    scopus 로고
    • On the efficiency of social recommender networks
    • Hong Kong, PRC, Apr
    • F. M. F. Wong, Z. Liu, and M. Chiang. On the efficiency of social recommender networks. In. Proc. of IEEE INFOCOM'15, Hong Kong, PRC, Apr. 2015.
    • (2015) Proc. of IEEE INFOCOM'15
    • Wong, F.M.F.1    Liu, Z.2    Chiang, M.3
  • 28
    • 36749025173 scopus 로고    scopus 로고
    • Novelty and collective attention
    • Nov
    • F. Wu and B. A. Huberman. Novelty and collective attention. In PNAS, 104(45):17599-17601, Nov. 2007.
    • (2007) PNAS , vol.104 , Issue.45 , pp. 17599-17601
    • Wu, F.1    Huberman, B.A.2
  • 31
    • 79952376390 scopus 로고    scopus 로고
    • Patterns of temporal variation in online media
    • Hong Kong, PRC, Feb
    • J. Yang and J. Leskovec. Patterns of temporal variation in online media. In Proc. of ACM WSDM'11. Hong Kong, PRC, Feb. 2011.
    • (2011) Proc. of ACM WSDM'11
    • Yang, J.1    Leskovec, J.2
  • 32
    • 84887287030 scopus 로고    scopus 로고
    • On the precision of social and information networks
    • Boston, MA, USA, Oct
    • R. B. Zadeh, A. Goel, K. Munagala, and A. Sharma. On the precision of social and information networks. In Proc. of ACM COSN'13. Boston, MA, USA, Oct. 2013.
    • (2013) Proc. of ACM COSN'13
    • Zadeh, R.B.1    Goel, A.2    Munagala, K.3    Sharma, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.