DIFCURV: A unified framework for Diffusion Curve Fitting and prediction in Online Social Networks

[1]  Adrian F. M. Smith,et al.  Automatic Bayesian curve fitting , 1998 .

[2]  Haiyan Wang,et al.  A spatiotemporal model of Twitter information diffusion: an example of Egyptian revolution 2011 , 2015, SMSociety.

[3]  Ronnie Ramlogan,et al.  Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology , 2017 .

[4]  Yu Wang,et al.  Community-based greedy algorithm for mining top-K influential nodes in mobile social networks , 2010, KDD.

[5]  Bernhard Rieder,et al.  Programmed method: developing a toolset for capturing and analyzing tweets , 2014, Aslib J. Inf. Manag..

[6]  Min Chen,et al.  Modeling for Information Diffusion in Online Social Networks via Hydrodynamics , 2017, IEEE Access.

[7]  Itai Himelboim,et al.  Important tweets matter: Predicting retweets in the #BlackLivesMatter talk on twitter , 2018, Comput. Hum. Behav..

[8]  Yun Chi,et al.  Information flow modeling based on diffusion rate for prediction and ranking , 2007, WWW '07.

[9]  Éva Tardos,et al.  Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..

[10]  Jeho Lee,et al.  Role of network structure and network effects in diffusion of innovations , 2010 .

[11]  Masahiro Kimura,et al.  Prediction of Information Diffusion Probabilities for Independent Cascade Model , 2008, KES.

[12]  Yifei Yuan,et al.  Scalable Influence Maximization in Social Networks under the Linear Threshold Model , 2010, 2010 IEEE International Conference on Data Mining.

[13]  K. Soo,et al.  Influence of soil type and stress state on predicting shear strength of unsaturated soils using the soil-water characteristic curve , 2011 .

[14]  Ira B Schwartz,et al.  Fluctuating epidemics on adaptive networks. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  Wei Chen,et al.  Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model , 2011, SDM.

[16]  Kamesh Munagala,et al.  A Note on Modeling Retweet Cascades on Twitter , 2015, WAW.

[17]  S. Arulchelvan,et al.  The Curve Fitting Model Analyzed the Survey of Crime News Awareness in India , 2017, 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM).

[18]  Hendra Bunyamin,et al.  A Comparison of Retweet Prediction Approaches: The Superiority of Random Forest Learning Method , 2016 .

[19]  Ying Zhang,et al.  An information diffusion model based on retweeting mechanism for online social media , 2012 .

[20]  Rediet Abebe.  Can Cascades be Predicted? , 2014 .

[21]  Sarbani Roy,et al.  Towards finding the best-fit distribution for OSN data , 2020, The Journal of Supercomputing.

[22]  Cuiping Li,et al.  BPF++: A Unified Factorization model for predicting retweet behaviors , 2020, Inf. Sci..

[23]  Xiaohua Jia,et al.  Characterizing Information Diffusion in Online Social Networks with Linear Diffusive Model , 2013, 2013 IEEE 33rd International Conference on Distributed Computing Systems.

[24]  Morteza Ebrahimi,et al.  Anomalous information diffusion in social networks: Twitter and Digg , 2019, Expert Syst. Appl..

[25]  Masahiro Kimura,et al.  Efficient discovery of influential nodes for SIS models in social networks , 2011, Knowledge and Information Systems.

[26]  Alireza Sadeghian,et al.  Retweet: A popular information diffusion mechanism - A survey paper , 2018, Online Soc. Networks Media.

[27]  Jiyoung Woo,et al.  Epidemic model for information diffusion in web forums: experiments in marketing exchange and political dialog , 2016, SpringerPlus.

[28]  Pan Hui,et al.  Understanding Cross-Site Linking in Online Social Networks , 2018, ACM Trans. Web.

[29]  James Caverlee,et al.  Spatial influence vs. community influence: modeling the global spread of social media , 2012, CIKM '12.

[30]  Joy Kuri,et al.  Using Node Centrality and Optimal Control to Maximize Information Diffusion in Social Networks , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[31]  Josiane Mothe,et al.  Predicting information diffusion on Twitter - Analysis of predictive features , 2017, J. Comput. Sci..

[32]  Naren Ramakrishnan,et al.  Epidemiological modeling of news and rumors on Twitter , 2013, SNAKDD '13.

[33]  P. Leeflang,et al.  Opinion Leaders' Role in Innovation Diffusion: A Simulation Study , 2011 .

[34]  Kim Hyun Ki,et al.  Predicting the Lifespan and Retweet Times of Tweets Based on Multiple Feature Analysis , 2014 .

[35]  Lev Kuandykov,et al.  Impact of social neighborhood on diffusion of innovation S-curve , 2010, Decis. Support Syst..

[36]  Rossano Gaeta.  A Model of Information Diffusion in Interconnected Online Social Networks , 2018, TWEB.

[37]  Christian Becker,et al.  An epidemic model for information diffusion in MANETs , 2002, MSWiM '02.

[38]  Jan-Michael Frahm,et al.  Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

[39]  Filippo Menczer,et al.  Virality Prediction and Community Structure in Social Networks , 2013, Scientific Reports.

[40]  D. Rajeswara Rao,et al.  Machine Learning Techniques on Multidimensional Curve Fitting Data Based on R- Square and Chi-Square Methods , 2016 .

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

[42]  Tammo H. A. Bijmolt,et al.  Will It Spread or Not? The Effects of Social Influences and Network Topology on Innovation Diffusion , 2010 .

[43]  Christos Faloutsos,et al.  Nonlinear Dynamics of Information Diffusion in Social Networks , 2017, ACM Trans. Web.

[44]  Kohei Otake,et al.  Evaluation of the Diffusion Phenomenon using Information from Twitter , 2020 .

[45]  Junseok Hwang,et al.  Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach , 2012 .

[46]  Christos Faloutsos,et al.  The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities , 2015, WWW.

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

[48]  Hakim Hacid,et al.  A predictive model for the temporal dynamics of information diffusion in online social networks , 2012, WWW.

[49]  Jure Leskovec,et al.  Modeling Information Diffusion in Implicit Networks , 2010, 2010 IEEE International Conference on Data Mining.

[50]  Alessandro Flammini,et al.  Optimal network modularity for information diffusion. , 2014, Physical review letters.

[51]  Danah Boyd,et al.  Social network sites: definition, history, and scholarship , 2007, IEEE Engineering Management Review.

[52]  G. Deffuant,et al.  An Individual‐Based Model of Innovation Diffusion Mixing Social Value and Individual Benefit1 , 2005, American Journal of Sociology.