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Topic Modeling in Online Social Media, User Features, and Social Networks for

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References

  • Blei DM, Ng A, Jordan M (2003) Latent dirichlet allocation. JMLR 3:993–1022

    MATH  Google Scholar 

  • Castillo C, Mendoza M, Poblete B (2011) Information credibility on twitter. In: Proceedings of the 20th international conference on world wide web, Hyderabad, pp 675–684

    Google Scholar 

  • Chen W, Fong S (2011) Social network collaborative filtering framework and online trust factors: a case study on facebook. IJWA 3:17–28

    Google Scholar 

  • Cheng Z, Caverlee J, Lee K (2010) You are where you tweet: a content-based approach to geo-locating twitter users. In: Proceedings of ACM international conference on information and knowledge management, Toronto, pp 759–768

    Google Scholar 

  • Cheng Z, Caverlee J, Lee K, Sui D (2011) Exploring millions of footprints in location sharing services. In: International AAAI conference on weblogs and social media, Barcelona

    Google Scholar 

  • Friedkin NE (1998) A structural theory of social influence. Cambridge University Press, Cambridge/New York

    Google Scholar 

  • Griffiths TL, Steyvers M (2004) Finding scientific topics. PNAS 101:5228–5235

    Google Scholar 

  • Hofmann T (1999) Probilistic latent semantic analysis. In: UAI, Stockholm

    Google Scholar 

  • Hong L, Davison BD (2010) Empirical study of topic modeling in Twitter. In: Proceedings of the first workshop on social media analytics, Washington, DC, pp 80–88

    Google Scholar 

  • Kim Y, Shim K (2011) Twitobi: a recommendation system for Twitter using probabilistic modeling. In: IEEE international conference on data mining, Vancouver, pp 340–349

    Google Scholar 

  • Kwak H, Lee C, Park H, Moon S (2010) What is Twitter, a social network or a news media? In: WWW '10: proceedings of the 19th international conference on world wide web, Raleigh, pp 591–600

    Google Scholar 

  • McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Annu Rev Soc 27:415–444

    Google Scholar 

  • Mei Q, Cai D, Zhang D, Zhai C (2008) Topic modeling with network regularization. In: WWW, Beijing

    Google Scholar 

  • Moghaddam S, Ester M (2011) ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. In: SIGIR, Beijing, pp 665–674

    Google Scholar 

  • Pennacchiotti M, Popescu AM (2011) A machine learning approach to Twitter user classification, ICWSM, The AAAI Press, pp 281–288

    Google Scholar 

  • Ramage D, Dumais S, Liebling D (2010) Characterizing microblogs with topic models. In: ICWSM, Washington, DC

    Google Scholar 

  • Rosa KD, Ellen J (2009) Text classification methodologies applied to micro-text in military chat. In: Proceedings of the 2009 international conference on machine learning and applications, Miami Beach, pp 710–714

    Google Scholar 

  • Steyvers M, Smyth P, Rosen-Zvi M, Griffiths T (2004) Probabilistic author-topic models for information discovery. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, Seattle, pp 306–315

    Google Scholar 

  • Sun Y, Han J, Gao J, Yu Y (2009) Itopicmodel: information network-integrated topic modeling. In: ICDM 2009, the ninth IEEE international conference on data mining, Miami, 6–9 Dec 2009, pp 493–502

    Google Scholar 

  • Wang AH (2010) Don't follow me — spam detection in Twitter. In: SECRYPT, Athens, pp 142–151

    Google Scholar 

  • Wu S, Hofman JM, Mason WA, Watts DJ (2011) Who says what to whom on Twitter. In: Proceedings of the 20th international conference on world wide web, Hyderabad, pp 705–714

    Google Scholar 

  • Zhao WX, Jiang J, Weng J, He J, Lim EP (2011) Comparing Twitter and traditional media using topic models, pp 338–349

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing Science, Simon Fraser University, Burnaby, BC, Canada

    Bo Hu, Zhao Song & Martin Ester

Authors
  1. Bo Hu
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  2. Zhao Song
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  3. Martin Ester
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

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Hu, B., Song, Z., Ester, M. (2014). Topic Modeling in Online Social Media, User Features, and Social Networks for. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_358

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