메뉴 건너뛰기




Volumn , Issue , 2014, Pages 593-602

Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership

Author keywords

audience analysis; twitter; video recommendation; youtube

Indexed keywords

DATA MINING; INFORMATION RETRIEVAL; WATCHES; WORLD WIDE WEB;

EID: 84906861985     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2556195.2566588     Document Type: Conference Paper
Times cited : (69)

References (39)
  • 1
    • 84890629874 scopus 로고    scopus 로고
    • Homophily and latent attribute inference: Inferring latent attributes of twitter users from neighbors
    • F. Al Zamal, W. Liu, and D. Ruths. Homophily and latent attribute inference: Inferring latent attributes of twitter users from neighbors. In ICWSM, 2012.
    • ICWSM, 2012
    • Al Zamal, F.1    Liu, W.2    Ruths, D.3
  • 2
    • 85144468582 scopus 로고    scopus 로고
    • Trends in Social Media: Persistence and Decay
    • S. Asur, B. A. Huberman, G. Szabo, and C. Wang. Trends in Social Media: Persistence and Decay. In ICWSM, pages 434-437, 2011.
    • (2011) ICWSM , pp. 434-437
    • Asur, S.1    Huberman, B.A.2    Szabo, G.3    Wang, C.4
  • 3
    • 18744406314 scopus 로고    scopus 로고
    • The origin of bursts and heavy tails in human dynamics
    • A.-L. Barabasi. The origin of bursts and heavy tails in human dynamics. Nature, 435:207, 2005.
    • (2005) Nature , vol.435 , pp. 207
    • Barabasi, A.-L.1
  • 5
    • 84867389232 scopus 로고    scopus 로고
    • Tasteweights: A visual interactive hybrid recommender system
    • S. Bostandjiev, J. O'Donovan, and T. Höllerer. Tasteweights: A visual interactive hybrid recommender system. In RecSys, pages 35-42, 2012.
    • (2012) RecSys , pp. 35-42
    • Bostandjiev, S.1    O'Donovan, J.2    Höllerer, T.3
  • 8
    • 84870398813 scopus 로고    scopus 로고
    • Partisan Asymmetries in Online Political Activity
    • M. D. Conover, B. Gonc, A. Flammini, and F. Menczer. Partisan Asymmetries in Online Political Activity. EPJ DataScience, 1(6):1-17, 2012.
    • (2012) EPJ DataScience , vol.1 , Issue.6 , pp. 1-17
    • Conover, M.D.1    Gonc, B.2    Flammini, A.3    Menczer, F.4
  • 10
    • 77952014039 scopus 로고    scopus 로고
    • Power law signature of media exposure in human response waiting time distributions
    • R. Crane, F. Schweitzer, and D. Sornette. Power law signature of media exposure in human response waiting time distributions. Physical Review E, 81(5):056101, 2010.
    • (2010) Physical Review E , vol.81 , Issue.5 , pp. 056101
    • Crane, R.1    Schweitzer, F.2    Sornette, D.3
  • 11
    • 57349194232 scopus 로고    scopus 로고
    • Robust dynamic classes revealed by measuring the response function of a social system
    • R. Crane and D. Sornette. Robust dynamic classes revealed by measuring the response function of a social system. PNAS, 105(41):15649-15653, 2008.
    • (2008) PNAS , vol.105 , Issue.41 , pp. 15649-15653
    • Crane, R.1    Sornette, D.2
  • 12
    • 79952392592 scopus 로고    scopus 로고
    • The tube over time: Characterizing popularity growth of youtube videos
    • F. Figueiredo, F. Benevenuto, and J. M. Almeida. The tube over time: Characterizing popularity growth of youtube videos. In WSDM, pages 745-754, 2011.
    • (2011) WSDM , pp. 745-754
    • Figueiredo, F.1    Benevenuto, F.2    Almeida, J.M.3
  • 14
    • 84870428859 scopus 로고    scopus 로고
    • Political polarization and popularity in online participatory media
    • Nov.
    • D. Garcia, F. Mendez, U. Serdült, and F. Schweitzer. Political polarization and popularity in online participatory media. In PLEAD, pages 3-10, Nov. 2012.
    • (2012) PLEAD , pp. 3-10
    • Garcia, D.1    Mendez, F.2    Serdült, U.3    Schweitzer, F.4
  • 15
    • 84880370390 scopus 로고    scopus 로고
    • Nepotistic relationships in twitter and their impact on rank prestige algorithms
    • D. Gayo-Avello. Nepotistic relationships in twitter and their impact on rank prestige algorithms. Inf. Process. Manage., 49(6):1250-1280, 2013.
    • (2013) Inf. Process. Manage. , vol.49 , Issue.6 , pp. 1250-1280
    • Gayo-Avello, D.1
  • 16
    • 84890690466 scopus 로고    scopus 로고
    • Who does what on the web: A large-scale study of browsing behavior
    • S. Goel, J. M. Hofman, and M. I. Sirer. Who does what on the web: A large-scale study of browsing behavior. In ICWSM, 2012.
    • ICWSM, 2012
    • Goel, S.1    Hofman, J.M.2    Sirer, M.I.3
  • 24
    • 84860860591 scopus 로고    scopus 로고
    • Dynamical classes of collective attention in twitter
    • New York, New York, USA
    • J. Lehmann, B. Gonçalves, J. J. Ramasco, and C. Cattuto. Dynamical classes of collective attention in twitter. In WWW, page 251, New York, New York, USA, 2012.
    • (2012) WWW , pp. 251
    • Lehmann, J.1    Gonçalves, B.2    Ramasco, J.J.3    Cattuto, C.4
  • 25
    • 84862060583 scopus 로고    scopus 로고
    • Understanding experts' and novices' expertise judgment of twitter users
    • Q. V. Liao, C. Wagner, P. Pirolli, and W.-T. Fu. Understanding experts' and novices' expertise judgment of twitter users. In CHI, pages 2461-2464, 2012.
    • (2012) CHI , pp. 2461-2464
    • Liao, Q.V.1    Wagner, C.2    Pirolli, P.3    Fu, W.-T.4
  • 27
    • 80052652741 scopus 로고    scopus 로고
    • Democrats, republicans and starbucks afficionados: User classification in twitter
    • M. Pennacchiotti and A.-M. Popescu. Democrats, republicans and starbucks afficionados: User classification in twitter. In KDD, pages 430-438, 2011.
    • (2011) KDD , pp. 430-438
    • Pennacchiotti, M.1    Popescu, A.-M.2
  • 28
    • 84874243168 scopus 로고    scopus 로고
    • Using early view patterns to predict the popularity of youtube videos
    • H. Pinto, J. M. Almeida, and M. A. Gonçalves. Using early view patterns to predict the popularity of youtube videos. In WSDM, pages 365-374, 2013.
    • (2013) WSDM , pp. 365-374
    • Pinto, H.1    Almeida, J.M.2    Gonçalves, M.A.3
  • 30
    • 84885576590 scopus 로고    scopus 로고
    • Predicting youtube content popularity via facebook data: A network spread model for optimizing multimedia delivery
    • D. Soysa, D. Chen, O. Au, and A. Bermak. Predicting youtube content popularity via facebook data: A network spread model for optimizing multimedia delivery. In CIDM, pages 214-221, 2013.
    • (2013) CIDM , pp. 214-221
    • Soysa, D.1    Chen, D.2    Au, O.3    Bermak, A.4
  • 31
    • 77955233534 scopus 로고    scopus 로고
    • Predicting the popularity of online content
    • G. Szabo and B. A. Huberman. Predicting the popularity of online content. Communications of the ACM, 53(8):80, 2010.
    • (2010) Communications of the ACM , vol.53 , Issue.8 , pp. 80
    • Szabo, G.1    Huberman, B.A.2
  • 32
    • 79952436810 scopus 로고    scopus 로고
    • #twittersearch: A comparison of microblog search and web search
    • J. Teevan, D. Ramage, and M. R. Morris. #twittersearch: A comparison of microblog search and web search. In WSDM, pages 35-44, 2011.
    • (2011) WSDM , pp. 35-44
    • Teevan, J.1    Ramage, D.2    Morris, M.R.3
  • 33
    • 85013939114 scopus 로고    scopus 로고
    • Content analysis meets viewers: Linking concept detection with demographics on youtube
    • A. Ulges, D. Borth, and M. Koch. Content analysis meets viewers: linking concept detection with demographics on youtube. IJMIR, 2(2):145-157, 2013.
    • (2013) IJMIR , vol.2 , Issue.2 , pp. 145-157
    • Ulges, A.1    Borth, D.2    Koch, M.3
  • 34
    • 84923357451 scopus 로고    scopus 로고
    • Long trend dynamics in social media
    • May
    • C. Wang and B. A. Huberman. Long trend dynamics in social media. EPJ Data Science, page 8, May 2012.
    • (2012) EPJ Data Science , pp. 8
    • Wang, C.1    Huberman, B.A.2
  • 35
    • 84866607462 scopus 로고    scopus 로고
    • Political search trends
    • ACM
    • I. Weber, V. R. K. Garimella, and E. Borra. Political search trends. In SIGIR, pages 1012-1012. ACM, 2012.
    • (2012) SIGIR , pp. 1012-1012
    • Weber, I.1    Garimella, V.R.K.2    Borra, E.3
  • 36
    • 84889562514 scopus 로고    scopus 로고
    • Inferring audience partisanship for youtube videos
    • I. Weber, V. R. K. Garimella, and E. Borra. Inferring audience partisanship for youtube videos. In WWW, pages 43-44, 2013.
    • (2013) WWW , pp. 43-44
    • Weber, I.1    Garimella, V.R.K.2    Borra, E.3
  • 37
    • 84875450348 scopus 로고    scopus 로고
    • Political hashtag trends
    • I. Weber, V. R. K. Garimella, and A. Teka. Political hashtag trends. In ECIR, pages 857-860, 2013.
    • (2013) ECIR , pp. 857-860
    • Weber, I.1    Garimella, V.R.K.2    Teka, A.3
  • 38
    • 79952418852 scopus 로고    scopus 로고
    • Who uses web search for what: And how
    • I. Weber and A. Jaimes. Who uses web search for what: and how. In WSDM, pages 15-24, 2011.
    • (2011) WSDM , pp. 15-24
    • Weber, I.1    Jaimes, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.