Retweet: A popular information diffusion mechanism - A survey paper

Abstract Retweeting or reposting a message is considered as an easily available information diffusion mechanism provided by Twitter or any other social network sites. By finding out why a user retweets a tweet, or predicting whether a tweet will be retweeted by a user, we can not only understand user's behavior or interest better, but also understand how information is diffused on the online social network. In this survey paper, we have explored various research works related to retweet prediction and retweeting behavior analysis, investigated the underlying reasons for spreading information in forms of retweets, and discussed the challenges of retweet related research. The purpose of the paper is to provide an overview of researches in retweet prediction area, which can be used as an introductory guide for future researchers in this field.

[1]  Jing Zhou,et al.  Retweet Behavior Prediction in Twitter , 2014, 2014 Seventh International Symposium on Computational Intelligence and Design.

[2]  W. Bruce Croft,et al.  User oriented tweet ranking: a filtering approach to microblogs , 2011, CIKM '11.

[3]  Adam Acar,et al.  Twitter for crisis communication: lessons learned from Japan's tsunami disaster , 2011, Int. J. Web Based Communities.

[4]  Xuanjing Huang,et al.  Retweet Prediction with Attention-based Deep Neural Network , 2016, CIKM.

[5]  Virgílio A. F. Almeida,et al.  Understanding factors that affect response rates in twitter , 2012, HT '12.

[6]  R. Manmatha,et al.  Predicting retweet count using visual cues , 2013, CIKM.

[7]  Christos Faloutsos,et al.  Retweeting Activity on Twitter: Signs of Deception , 2015, PAKDD.

[8]  Miles Osborne,et al.  RT to Win! Predicting Message Propagation in Twitter , 2011, ICWSM.

[9]  Bo Jiang,et al.  Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction , 2015, CIKM.

[10]  Leysia Palen,et al.  Pass it on?: Retweeting in mass emergency , 2010, ISCRAM.

[11]  Anand Rajaraman,et al.  Mining of Massive Datasets , 2011 .

[12]  Y. Wang,et al.  A Multidimensional Nonnegative Matrix Factorization Model for Retweeting Behavior Prediction , 2015 .

[13]  Thomas Gottron,et al.  Bad news travel fast: a content-based analysis of interestingness on Twitter , 2011, WebSci '11.

[14]  Marina Kogan,et al.  Think Local, Retweet Global: Retweeting by the Geographically-Vulnerable during Hurricane Sandy , 2015, CSCW.

[15]  Felipe Bravo-Marquez,et al.  Determining Word-Emotion Associations from Tweets by Multi-label Classification , 2016, WI 2016.

[16]  Lada A. Adamic.  The Small World Web , 1999, ECDL.

[17]  Jeffrey Nichols,et al.  Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information , 2015, ACM Trans. Intell. Syst. Technol..

[18]  Sibel Adali,et al.  Measuring behavioral trust in social networks , 2010, 2010 IEEE International Conference on Intelligence and Security Informatics.

[19]  Mark Goadrich,et al.  The relationship between Precision-Recall and ROC curves , 2006, ICML.

[20]  Hao Su,et al.  Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification , 2010, NIPS.

[21]  David M. Blei,et al.  Probabilistic topic models , 2012, Commun. ACM.

[22]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[23]  Mike Thelwall,et al.  Sentiment in short strength detection informal text , 2010 .

[24]  Yuko Murayama,et al.  User's Action and Decision Making of Retweet Messages towards Reducing Misinformation Spread during Disaster , 2015, J. Inf. Process..

[25]  Thomas L. Griffiths,et al.  The Author-Topic Model for Authors and Documents , 2004, UAI.

[26]  Ting Wang,et al.  Who will retweet me?: finding retweeters in twitter , 2013, SIGIR.

[27]  Juan-Zi Li,et al.  Social Influence Locality for Modeling Retweeting Behaviors , 2013, IJCAI.

[28]  T. Chai,et al.  Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .

[29]  Sofus A. Macskassy.  On the Study of Social Interactions in Twitter , 2012, ICWSM.

[30]  Frank Schweitzer,et al.  Emotional Divergence Influences Information Spreading in Twitter , 2012, ICWSM.

[31]  Jihie Kim,et al.  Role of Sentiment in Message Propagation: Reply vs. Retweet Behavior in Political Communication , 2012, 2012 International Conference on Social Informatics.

[32]  Alireza Sadeghian,et al.  Topic specific emotion detection for retweet prediction , 2019, Int. J. Mach. Learn. Cybern..

[33]  Jiawei Han,et al.  Predicting future popularity trend of events in microblogging platforms , 2012, ASIST.

[34]  Ee-Peng Lim,et al.  Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics? , 2013, SDM.

[35]  Jonah A. Berger.  Arousal Increases Social Transmission of Information , 2011, Psychological science.

[36]  Yong Yu,et al.  Collaborative personalized tweet recommendation , 2012, SIGIR '12.

[37]  Leysia Palen,et al.  (How) will the revolution be retweeted?: information diffusion and the 2011 Egyptian uprising , 2012, CSCW.

[38]  Matthew Michelson,et al.  Tweet Disambiguate Entities Retrieve Folksonomy SubTree Step 1 : Discover Categories Generate Topic Profile from SubTrees Step 2 : Discover Profile Topic Profile : “ English Football ” “ World Cup ” , 2011 .

[39]  Qing Yang,et al.  Analyzing User Retweet Behavior on Twitter , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[40]  Hongfei Yan,et al.  Comparing Twitter and Traditional Media Using Topic Models , 2011, ECIR.

[41]  Saif Mohammad,et al.  CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..

[42]  Tao Sun,et al.  Unexpected Relevance: An Empirical Study of Serendipity in Retweets , 2013, ICWSM.

[43]  Christos Faloutsos,et al.  Suspicious Behavior Detection: Current Trends and Future Directions , 2016, IEEE Intelligent Systems.

[44]  Ralf Herbrich,et al.  Predicting Information Spreading in Twitter , 2010 .

[45]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[46]  Felix Naumann,et al.  Analyzing and predicting viral tweets , 2013, WWW.

[47]  Cécile Favre,et al.  Information diffusion in online social networks: a survey , 2013, SGMD.

[48]  Emad Khazraee,et al.  Information diffusion on twitter: the case of the 2013 iranian presidential election , 2014, WebSci '14.

[49]  Koby Crammer,et al.  Online Passive-Aggressive Algorithms , 2003, J. Mach. Learn. Res..

[50]  Shuai Gao,et al.  Modeling and Predicting Retweeting Dynamics on Microblogging Platforms , 2015, WSDM.

[51]  Jung-Tae Lee,et al.  Using Link Analysis to Discover Interesting Messages Spread Across Twitter , 2012, TextGraphs@ACL.

[52]  M. Bradley,et al.  Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings , 1999 .

[53]  Ed H. Chi,et al.  Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network , 2010, 2010 IEEE Second International Conference on Social Computing.

[54]  Michael I. Jordan,et al.  Hierarchical Dirichlet Processes , 2006 .

[55]  Stefan Stieglitz,et al.  Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior , 2012, 2012 45th Hawaii International Conference on System Sciences.

[56]  Xuanjing Huang,et al.  Retweet Behavior Prediction Using Hierarchical Dirichlet Process , 2015, AAAI.

[57]  Brian D. Davison,et al.  Predicting popular messages in Twitter , 2011, WWW.

[58]  Yang Zhang,et al.  Modeling user posting behavior on social media , 2012, SIGIR '12.

[59]  Ying Zhang,et al.  Retweet Modeling Using Conditional Random Fields , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[60]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[61]  Lin Li,et al.  Predicting Active Users' Personality Based on Micro-Blogging Behaviors , 2014, PloS one.

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

[63]  Juan-Zi Li,et al.  Understanding retweeting behaviors in social networks , 2010, CIKM.