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Volumn , Issue , 2015, Pages 149-158

Will this paper increase your h-index? Scientific impact prediction

Author keywords

Citation prediction; Popularity prediction; Science of science; Scientific impact

Indexed keywords

DATA MINING; DIGITAL STORAGE; FORECASTING; PUBLISHING;

EID: 84928720307     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2684822.2685314     Document Type: Conference Paper
Times cited : (94)

References (31)
  • 1
    • 84874225468 scopus 로고    scopus 로고
    • A peek into the future: Predicting the evolution of popularity in user generated content
    • ACM
    • M. Ahmed, S. Spagna, F. Huici, and S. Niccolini. A peek into the future: Predicting the evolution of popularity in user generated content. In WSDM '13, pages 607-616. ACM, 2013.
    • (2013) WSDM , vol.13 , pp. 607-616
    • Ahmed, M.1    Spagna, S.2    Huici, F.3    Niccolini, S.4
  • 2
    • 78651323131 scopus 로고    scopus 로고
    • Who should I cite: Learning literature search models from citation behavior
    • ACM
    • S. Bethard and D. Jurafsky. Who should I cite: Learning literature search models from citation behavior. In CIKM '10, pages 609-618. ACM, 2010.
    • (2010) CIKM , vol.10 , pp. 609-618
    • Bethard, S.1    Jurafsky, D.2
  • 3
    • 0141607824 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. JMLR, 3:993-1022, 2003.
    • (2003) JMLR , vol.3 , pp. 993-1022
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 4
    • 38049086853 scopus 로고    scopus 로고
    • Estimating the number of citations using author reputation
    • Springer
    • C. Castillo, D. Donato, and A. Gionis. Estimating the number of citations using author reputation. In SPIRE '07, pages 107-117. Springer, 2007.
    • (2007) SPIRE , vol.7 , pp. 107-117
    • Castillo, C.1    Donato, D.2    Gionis, A.3
  • 6
    • 37049230834 scopus 로고
    • Citation indexes for science: A new dimension in documentation through association of ideas
    • E. Garfield. Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159):108-111, 1955.
    • (1955) Science , vol.122 , Issue.3159 , pp. 108-111
    • Garfield, E.1
  • 8
    • 28044445101 scopus 로고    scopus 로고
    • An index to quantify an individual's scientific research output
    • J. E. Hirsch. An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, 102(46):16569-16572, 2005.
    • (2005) Proceedings of the National Academy of Sciences , vol.102 , Issue.46 , pp. 16569-16572
    • Hirsch, J.E.1
  • 9
    • 84874223205 scopus 로고    scopus 로고
    • Co-factorization machines: Modeling user interests and predicting individual decisions in Twitter
    • ACM
    • L. Hong, A. S. Doumith, and B. D. Davison. Co-factorization machines: Modeling user interests and predicting individual decisions in Twitter. In WSDM '13, pages 557-566. ACM, 2013.
    • (2013) WSDM , vol.13 , pp. 557-566
    • Hong, L.1    Doumith, A.S.2    Davison, B.D.3
  • 10
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604-632, 1999.
    • (1999) Journal of the ACM , vol.46 , Issue.5 , pp. 604-632
    • Kleinberg, J.M.1
  • 11
    • 79959719232 scopus 로고    scopus 로고
    • Mechanisms for (mis)allocating scientific credit
    • ACM
    • J. M. Kleinberg and S. Oren. Mechanisms for (mis)allocating scientific credit. In STOC '11, pages 529-538. ACM, 2011.
    • (2011) STOC , vol.11 , pp. 529-538
    • Kleinberg, J.M.1    Oren, S.2
  • 13
    • 78651275223 scopus 로고    scopus 로고
    • Mining topic-level influence in heterogeneous networks
    • ACM
    • L. Liu, J. Tang, J. Han, M. Jiang, and S. Yang. Mining topic-level influence in heterogeneous networks. In CIKM '10, pages 199-208. ACM, 2010.
    • (2010) CIKM , vol.10 , pp. 199-208
    • Liu, L.1    Tang, J.2    Han, J.3    Jiang, M.4    Yang, S.5
  • 14
    • 84874243168 scopus 로고    scopus 로고
    • Using early view patterns to predict the popularity of youtube videos
    • ACM
    • H. Pinto, J. M. Almeida, and M. A. Gonçalves. Using early view patterns to predict the popularity of youtube videos. In WSDM '13, pages 365-374. ACM, 2013.
    • (2013) WSDM , vol.13 , pp. 365-374
    • Pinto, H.1    Almeida, J.M.2    Gonçalves, M.A.3
  • 15
    • 56249106909 scopus 로고    scopus 로고
    • Universality of citation distributions: Toward an
    • F. Radicchi, S. Fortunato, and C. Castellano. Universality of citation distributions: Toward an objective measure of scientific impact. PNAS, 2008.
    • (2008) PNAS
    • Radicchi, F.1    Fortunato, S.2    Castellano, C.3
  • 16
    • 84907018981 scopus 로고    scopus 로고
    • ClusCite: Effective citation recommendation by information network-based clustering
    • X. Ren, J. Liu, X. Yu, U. Khandelwal, Q. Gu, L. Wang, and J. Han. ClusCite: Effective citation recommendation by information network-based clustering. In KDD '14, 2014.
    • (2014) KDD , vol.14
    • Ren, X.1    Liu, J.2    Yu, X.3    Khandelwal, U.4    Gu, Q.5    Wang, L.6    Han, J.7
  • 18
    • 84921923085 scopus 로고    scopus 로고
    • Modeling and predicting popularity dynamics via reinforced poisson processes
    • H.-W. Shen, D. Wang, C. Song, and A.-L. Barabási. Modeling and predicting popularity dynamics via reinforced poisson processes. In AAAI '14, 2014.
    • (2014) AAAI , vol.14
    • Shen, H.-W.1    Wang, D.2    Song, C.3    Barabási, A.-L.4
  • 19
    • 0000085972 scopus 로고    scopus 로고
    • Improving ratings: Audit in the British university system
    • M. Strathern. Improving ratings: audit in the British university system. European Review, 5(03):305-321, 1997.
    • (1997) European Review , vol.5 , Issue.3 , pp. 305-321
    • Strathern, M.1
  • 20
    • 84863298375 scopus 로고    scopus 로고
    • When will it happen?: Relationship prediction in heterogeneous information networks
    • ACM
    • Y. Sun, J. Han, C. C. Aggarwal, and N. V. Chawla. When will it happen?: Relationship prediction in heterogeneous information networks. In WSDM '12, pages 663-672. ACM, 2012.
    • (2012) WSDM , vol.12 , pp. 663-672
    • Sun, Y.1    Han, J.2    Aggarwal, C.C.3    Chawla, N.V.4
  • 21
    • 70350639694 scopus 로고    scopus 로고
    • Social influence analysis in large-scale networks
    • J. Tang, J. Sun, C. Wang, and Z. Yang. Social influence analysis in large-scale networks. In KDD '09, pages 807-816, 2009.
    • (2009) KDD , vol.9 , pp. 807-816
    • Tang, J.1    Sun, J.2    Wang, C.3    Yang, Z.4
  • 22
  • 23
    • 65449166085 scopus 로고    scopus 로고
    • Arnetminer: Extraction and mining of academic social networks
    • J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Arnetminer: Extraction and mining of academic social networks. In KDD '08, pages 990-998, 2008.
    • (2008) KDD , vol.8 , pp. 990-998
    • Tang, J.1    Zhang, J.2    Yao, L.3    Li, J.4    Zhang, L.5    Su, Z.6
  • 24
    • 84886264828 scopus 로고    scopus 로고
    • Atypical combinations and scientific impact
    • B. Uzzi, S. Mukherjee, M. Stringer, and B. Jones. Atypical combinations and scientific impact. Science, 342(6157):468-472, 2013.
    • (2013) Science , vol.342 , Issue.6157 , pp. 468-472
    • Uzzi, B.1    Mukherjee, S.2    Stringer, M.3    Jones, B.4
  • 25
    • 80053446951 scopus 로고    scopus 로고
    • Dynamic egocentric models for citation networks
    • D. Vu, A. Asuncion, D. Hunter, and P. Smyth. Dynamic egocentric models for citation networks. In ICML '11, pages 857-864, 2011.
    • (2011) ICML , vol.11 , pp. 857-864
    • Vu, D.1    Asuncion, A.2    Hunter, D.3    Smyth, P.4
  • 26
    • 77956197990 scopus 로고    scopus 로고
    • Mining advisor-advisee relationships from research publication networks
    • C. Wang, J. Han, Y. Jia, J. Tang, D. Zhang, Y. Yu, and J. Guo. Mining advisor-advisee relationships from research publication networks. In KDD '10, pages 203-212, 2010.
    • (2010) KDD , vol.10 , pp. 203-212
    • Wang, C.1    Han, J.2    Jia, Y.3    Tang, J.4    Zhang, D.5    Yu, Y.6    Guo, J.7
  • 27
    • 84885660552 scopus 로고    scopus 로고
    • Quantifying long-term scientific impact
    • D. Wang, C. Song, and A.-L. Barabási. Quantifying long-term scientific impact. Science, 342(6154):127-132, 2013.
    • (2013) Science , vol.342 , Issue.6154 , pp. 127-132
    • Wang, D.1    Song, C.2    Barabási, A.-L.3
  • 28
    • 84863553490 scopus 로고    scopus 로고
    • To better stand on the shoulder of giants
    • ACM
    • R. Yan, C. Huang, J. Tang, Y. Zhang, and X. Li. To better stand on the shoulder of giants. In JCDL '12, pages 51-60. ACM, 2012.
    • (2012) JCDL , vol.12 , pp. 51-60
    • Yan, R.1    Huang, C.2    Tang, J.3    Zhang, Y.4    Li, X.5
  • 29
    • 83055161680 scopus 로고    scopus 로고
    • Citation count prediction: Learning to estimate future citations for literature
    • ACM
    • R. Yan, J. Tang, X. Liu, D. Shan, and X. Li. Citation count prediction: Learning to estimate future citations for literature. In CIKM '11, pages 1247-1252. ACM, 2011.
    • (2011) CIKM , vol.11 , pp. 1247-1252
    • Yan, R.1    Tang, J.2    Liu, X.3    Shan, D.4    Li, X.5
  • 30
    • 84880233067 scopus 로고    scopus 로고
    • Citation prediction in heterogeneous bibliographic networks
    • X. Yu, Q. Gu, M. Zhou, and J. Han. Citation prediction in heterogeneous bibliographic networks. In SDM '12, pages 1119-1130, 2012.
    • (2012) SDM , vol.12 , pp. 1119-1130
    • Yu, X.1    Gu, Q.2    Zhou, M.3    Han, J.4
  • 31
    • 38049115730 scopus 로고    scopus 로고
    • Expert finding in a social network
    • J. Zhang, J. Tang, and J. Li. Expert finding in a social network. In DASFAA '07, pages 1066-1069, 2007.
    • (2007) DASFAA , vol.7 , pp. 1066-1069
    • Zhang, J.1    Tang, J.2    Li, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.