Measuring the effects of repeated and diversified influence mechanism for information adoption on Twitter

[1]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[2]  Yamir Moreno,et al.  The role of hidden influentials in the diffusion of online information cascades , 2013, EPJ Data Science.

[3]  Brian E. Weeks Emotions, Partisanship, and Misperceptions: How Anger and Anxiety Moderate the Effect of Partisan Bias on Susceptibility to Political Misinformation , 2015 .

[4]  Iis P. Tussyadiah,et al.  The Effect of Engagement in Online Social Network on Susceptibility to Influence , 2018 .

[5]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[6]  Dian A. de Vries,et al.  Facebook and self-perception: Individual susceptibility to negative social comparison on facebook. , 2015 .

[7]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[8]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Ee-Peng Lim,et al.  Tracking Virality and Susceptibility in Social Media , 2016, CIKM.

[10]  Zhen Wang,et al.  Dynamics of social contagions with heterogeneous adoption thresholds: crossover phenomena in phase transition , 2015, ArXiv.

[11]  Ee-Peng Lim,et al.  Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion , 2015, ECIR.

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

[13]  Richard G. Netemeyer,et al.  Measurement of Consumer Susceptibility to Interpersonal Influence , 1989 .

[14]  Lev Muchnik,et al.  Identifying influential spreaders in complex networks , 2010, 1001.5285.

[15]  Jure Leskovec,et al.  Can cascades be predicted? , 2014, WWW.

[16]  Gerardo Iñiguez,et al.  Threshold driven contagion on weighted networks , 2017, Scientific Reports.

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

[18]  James P. Gleeson,et al.  On Watts' cascade model with random link weights , 2012, J. Complex Networks.

[19]  Alneu de Andrade Lopes,et al.  Local-entity resolution for building location-based social networks by using stay points , 2021, Theor. Comput. Sci..

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

[21]  Carmela Comito,et al.  Word Embedding based Clustering to Detect Topics in Social Media , 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

[22]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[23]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[24]  Petter Holme,et al.  Threshold model of cascades in temporal networks , 2012, ArXiv.

[25]  Boleslaw K. Szymanski,et al.  The Impact of Heterogeneous Thresholds on Social Contagion with Multiple Initiators , 2015, PloS one.

[26]  Bradley J. Alge,et al.  The embedding forces of network commitment: An examination of the psychological processes linking advice centrality and susceptibility to social influence , 2018, Organizational Behavior and Human Decision Processes.

[27]  Kathy J. Horadam,et al.  The spread of ideas in a weighted threshold network , 2016, COMPLEX NETWORKS.

[28]  Lu Xiao,et al.  Characterizing Susceptible Users on Reddit's ChangeMyView , 2019, Proceedings of the 10th International Conference on Social Media and Society.