A model-free scheme for meme ranking in social media

[1]  Xingshe Zhou,et al.  An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media , 2016, IEEE Systems Journal.

[2]  Munmun De Choudhury,et al.  "Narco" emotions: affect and desensitization in social media during the mexican drug war , 2014, CHI.

[3]  Peter Godfrey-Smith,et al.  Communication and Common Interest , 2013, PLoS Comput. Biol..

[4]  Tad Hogg,et al.  Using Stochastic Models to Predict User Response in Social Media , 2013, 2013 International Conference on Social Computing.

[5]  Daniel Dajun Zeng,et al.  Identifying Peer Influence in Online Social Networks Using Transfer Entropy , 2013, PAISI.

[6]  Michalis Faloutsos,et al.  Competing Memes Propagation on Networks: A Network Science Perspective , 2013, IEEE Journal on Selected Areas in Communications.

[7]  F. Bonchi,et al.  Meme ranking to maximize posts virality in microblogging platforms , 2013, Journal of Intelligent Information Systems.

[8]  B. Jasny Realities of data sharing using the genome wars as case study - an historical perspective and commentary , 2013, EPJ Data Science.

[9]  Yung-Ming Li,et al.  A diffusion mechanism for social advertising over microblogs , 2012, Decis. Support Syst..

[10]  Murphy Choy,et al.  US Presidential Election 2012 Prediction using Census Corrected Twitter Model , 2012, ArXiv.

[11]  D. Hunter,et al.  The dynamics of health behavior sentiments on a large online social network , 2012, EPJ Data Science.

[12]  Sinan Aral,et al.  Identifying Influential and Susceptible Members of Social Networks , 2012, Science.

[13]  Jure Leskovec,et al.  Information diffusion and external influence in networks , 2012, KDD.

[14]  Matthew K. O. Lee,et al.  What drives consumers to spread electronic word of mouth in online consumer-opinion platforms , 2012, Decis. Support Syst..

[15]  A. Vespignani,et al.  Competition among memes in a world with limited attention , 2012, Scientific Reports.

[16]  Christian Bauckhage,et al.  Insights into Internet Memes , 2011, ICWSM.

[17]  Divyakant Agrawal,et al.  Limiting the spread of misinformation in social networks , 2011, WWW.

[18]  Chen Huang,et al.  Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake , 2011, CSCW.

[19]  Duncan J. Watts,et al.  Everyone's an influencer: quantifying influence on twitter , 2011, WSDM '11.

[20]  Francesco Bonchi,et al.  The Meme Ranking Problem: Maximizing Microblogging Virality , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[21]  Dylan Walker,et al.  Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks , 2010, ICIS.

[22]  Jure Leskovec,et al.  On the Convexity of Latent Social Network Inference , 2010, NIPS.

[23]  Johann Gamper,et al.  Ranking of evolving stories through meta-aggregation , 2010, CIKM.

[24]  Reginald G. Golledge,et al.  Measuring Association between Spatially Defined Variables: Tjøstheim's Index and Some Extensions , 2010 .

[25]  Daniel M. Romero,et al.  Influence and passivity in social media , 2010, ECML/PKDD.

[26]  Yossi Matias,et al.  Suggesting friends using the implicit social graph , 2010, KDD.

[27]  Kristina Lerman,et al.  Predicting Influential Users in Online Social Networks , 2010, ArXiv.

[28]  Krishna P. Gummadi,et al.  Measuring User Influence in Twitter: The Million Follower Fallacy , 2010, ICWSM.

[29]  Isabell M. Welpe,et al.  Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.

[30]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[31]  U. Gretzel,et al.  Role of social media in online travel information search , 2010 .

[32]  Kristina Lerman,et al.  Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks , 2010, ICWSM.

[33]  Laks V. S. Lakshmanan,et al.  Learning influence probabilities in social networks , 2010, WSDM '10.

[34]  Mike Thelwall,et al.  Assessing global diffusion with Web memetics: The spread and evolution of a popular joke , 2009, J. Assoc. Inf. Sci. Technol..

[35]  Mikhail J. Atallah,et al.  Algorithms and Theory of Computation Handbook , 2009, Chapman & Hall/CRC Applied Algorithms and Data Structures series.

[36]  Devavrat Shah,et al.  Rumors in a Network: Who's the Culprit? , 2009, IEEE Transactions on Information Theory.

[37]  Arya Mazumdar,et al.  Codes in Permutations and Error Correction for Rank Modulation , 2009, IEEE Transactions on Information Theory.

[38]  Jure Leskovec,et al.  Meme-tracking and the dynamics of the news cycle , 2009, KDD.

[39]  J. Goldenberg,et al.  The Role of Hubs in the Adoption Process , 2009 .

[40]  Yew-Soon Ong,et al.  Non-genetic transmission of memes by diffusion , 2008, GECCO '08.

[41]  Jiangchuan Liu,et al.  Statistics and Social Network of YouTube Videos , 2008, 2008 16th Interntional Workshop on Quality of Service.

[42]  Didier Sornette,et al.  Robust dynamic classes revealed by measuring the response function of a social system , 2008, Proceedings of the National Academy of Sciences.

[43]  Hiroshi Sato,et al.  The Possibility of an Epidemic Meme Analogy for Web Community Population Analysis , 2007, IDEAL.

[44]  Susan T. Dumais,et al.  Characterizing the value of personalizing search , 2007, SIGIR.

[45]  Peter A. Gloor,et al.  Coolhunting for trends on the Web , 2007, 2007 International Symposium on Collaborative Technologies and Systems.

[46]  K. Hlavácková-Schindler,et al.  Causality detection based on information-theoretic approaches in time series analysis , 2007 .

[47]  Kate Kenski,et al.  America's Youth and Community Engagement , 2006, Commun. Res..

[48]  Duncan J. Watts,et al.  The Structure and Dynamics of Networks: (Princeton Studies in Complexity) , 2006 .

[49]  Susan T. Dumais,et al.  Personalizing Search via Automated Analysis of Interests and Activities , 2005, SIGIR.

[50]  Ramanathan V. Guha,et al.  Information diffusion through blogspace , 2004, WWW '04.

[51]  Ronald Fagin,et al.  Comparing and aggregating rankings with ties , 2004, PODS '04.

[52]  Jon Kleinberg,et al.  Maximizing the spread of influence through a social network , 2003, KDD '03.

[53]  Ronald Fagin,et al.  Efficient similarity search and classification via rank aggregation , 2003, SIGMOD '03.

[54]  A. Kraskov,et al.  Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[55]  Matthew Richardson,et al.  Mining knowledge-sharing sites for viral marketing , 2002, KDD.

[56]  T. Schreiber,et al.  Information transfer in continuous processes , 2002 .

[57]  Arnold Neumaier,et al.  Introduction to Numerical Analysis , 2001 .

[58]  Jacob Goldenberg,et al.  Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth , 2001 .

[59]  G. Lilien,et al.  Medical Innovation Revisited: Social Contagion versus Marketing Effort1 , 2001, American Journal of Sociology.

[60]  H. Peyton Young,et al.  The Diffusion of Innovations in Social Networks , 2000 .

[61]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[62]  V. Latora,et al.  Kolmogorov-Sinai Entropy Rate versus Physical Entropy , 1998, chao-dyn/9806006.

[63]  L. Allen Some discrete-time SI, SIR, and SIS epidemic models. , 1994, Mathematical biosciences.

[64]  P. Kaye Infectious diseases of humans: Dynamics and control , 1993 .

[65]  C. Manski Identification of Endogenous Social Effects: The Reflection Problem , 1993 .

[66]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[67]  N. Ling The Mathematical Theory of Infectious Diseases and its applications , 1978 .

[68]  R. Lewontin ‘The Selfish Gene’ , 1977, Nature.

[69]  J. Radcliffe,et al.  The Mathematical Theory of Infectious Diseases and its Applications , 1977 .

[70]  Hsinchun Chen,et al.  Intelligence and Security Informatics , 2013, Lecture Notes in Computer Science.

[71]  Zhu Min Influence of eWOM Message on Receivers' Re-diffusion Intention , 2012 .

[72]  Hujun Yin,et al.  Intelligent Data Engineering and Automated Learning - IDEAL 2012 , 2012, Lecture Notes in Computer Science.

[73]  Jonathan D Victor,et al.  Approaches to Information-Theoretic Analysis of Neural Activity , 2006, Biological theory.

[74]  Mark E. J. Newman,et al.  Structure and Dynamics of Networks , 2009 .

[75]  Eytan Adar,et al.  Implicit Structure and the Dynamics of Blogspace , 2004 .

[76]  Begnaud Francis Hildebrand,et al.  Introduction to numerical analysis: 2nd edition , 1987 .

[77]  Alexander Grey,et al.  The Mathematical Theory of Infectious Diseases and Its Applications , 1977 .

[78]  Norman T. J. Bailey,et al.  The Mathematical Theory of Infectious Diseases , 1975 .