A Co-Evolutionary Model for Inferring Online Social Network User Behaviors
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[1] Xiaoming Liu,et al. A feasible graph partition framework for random walks implemented by parallel computing in big graph , 2014, 2015 34th Chinese Control Conference (CCC).
[2] Xindong Wu,et al. Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.
[3] Svitlana Volkova,et al. Inferring Latent User Properties from Texts Published in Social Media , 2015, AAAI.
[4] Fan Zhang,et al. When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks , 2016, Proc. VLDB Endow..
[5] Jure Leskovec,et al. Predicting positive and negative links in online social networks , 2010, WWW '10.
[6] Chao Shen,et al. We Know Who You Are: Discovering Similar Groups Across Multiple Social Networks , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[7] Weiwei Liu,et al. Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network , 2015, AAAI.
[8] Hongyuan Zha,et al. Learning Granger Causality for Hawkes Processes , 2016, ICML.
[9] Weiwei Liu,et al. Mining Top K Spread Sources for a Specific Topic and a Given Node , 2015, IEEE Transactions on Cybernetics.
[10] Xiaohong Guan,et al. A feasible graph partition framework for parallel computing of big graph , 2017, Knowl. Based Syst..
[11] Damon Centola,et al. The Spread of Behavior in an Online Social Network Experiment , 2010, Science.
[12] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Kevin Lewis,et al. Social selection and peer influence in an online social network , 2011, Proceedings of the National Academy of Sciences.
[15] Cyrus Shahabi,et al. Crowd sensing of traffic anomalies based on human mobility and social media , 2013, SIGSPATIAL/GIS.
[16] Le Song,et al. Deep Coevolutionary Network: Embedding User and Item Features for Recommendation , 2016, 1609.03675.
[17] Nitesh V. Chawla,et al. New perspectives and methods in link prediction , 2010, KDD.
[18] Xiaoming Liu,et al. Detecting community structure for undirected big graphs based on random walks , 2014, WWW.
[19] David G. Rand,et al. Dynamic social networks promote cooperation in experiments with humans , 2011, Proceedings of the National Academy of Sciences.
[20] Jennifer Neville,et al. Modeling relationship strength in online social networks , 2010, WWW '10.
[21] Feng Chen,et al. From Twitter to detector: real-time traffic incident detection using social media data , 2016 .
[22] Xiaoming Liu,et al. MIRACLE: A multiple independent random walks community parallel detection algorithm for big graphs , 2016, J. Netw. Comput. Appl..
[23] Fan Zhang,et al. OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks , 2017, Proc. VLDB Endow..
[24] Pushmeet Kohli,et al. Manifestations of user personality in website choice and behaviour on online social networks , 2013, Machine Learning.