Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo
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[1] Freimut Bodendorf,et al. Detecting opinion leaders and trends in online social networks , 2009, CIKM-SWSM.
[2] Yue Zhao,et al. Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[3] Yi Pan,et al. Predicting Essential Proteins Based on Weighted Degree Centrality , 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[4] Hui Xiong,et al. PageRank with Priors: An Influence Propagation Perspective , 2013, IJCAI.
[5] Conor Hayes,et al. Towards Maximising Cross-Community Information Diffusion , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
[6] Andrew Philippides,et al. Dynamic, small-world social network generation through local agent interactions , 2014, Complex..
[7] O. Sporns. Contributions and challenges for network models in cognitive neuroscience , 2014, Nature Neuroscience.
[8] Rong Luo,et al. A novel centrality method for weighted networks based on the Kirchhoff polynomial , 2015, Pattern Recognit. Lett..
[9] Aram Galstyan,et al. Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract) , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).
[10] Talal Rahwan,et al. Closeness Centrality for Networks with Overlapping Community Structure , 2016, AAAI.
[11] Lina Yao,et al. Unified Collaborative and Content-Based Web Service Recommendation , 2015, IEEE Transactions on Services Computing.
[12] Wook-Shin Han,et al. Influence maximization based on reachability sketches in dynamic graphs , 2017, Inf. Sci..
[13] Mohsen Guizani,et al. Discovering influential users in micro-blog marketing with influence maximization mechanism , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).
[14] Yi Pan,et al. Identification of Essential Proteins Based on Edge Clustering Coefficient , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[15] Francesco Bonchi,et al. Scalable online betweenness centrality in evolving graphs , 2016, ICDE.
[16] V. Latora,et al. A measure of centrality based on network efficiency , 2004, cond-mat/0402050.
[17] Jie Wu,et al. Fine-Grained Feature-Based Social Influence Evaluation in Online Social Networks , 2014, IEEE Transactions on Parallel and Distributed Systems.
[18] Peter Grindrod,et al. A Matrix Iteration for Dynamic Network Summaries , 2013, SIAM Rev..
[19] Xindong Wu,et al. Multi-Instance Learning with Discriminative Bag Mapping , 2018, IEEE Transactions on Knowledge and Data Engineering.
[20] Domenico Rosaci,et al. Trust and Compactness in Social Network Groups , 2015, IEEE Transactions on Cybernetics.
[21] Qiang Yan,et al. Social network based microblog user behavior analysis , 2013 .
[22] Yasir Mehmood,et al. CSI: Community-Level Social Influence Analysis , 2013, ECML/PKDD.
[23] Alan C. Bovik,et al. Massive Online Crowdsourced Study of Subjective and Objective Picture Quality , 2015, IEEE Transactions on Image Processing.
[24] Dechang Pi,et al. Metric Learning Combining With Boosting for User Distance Measure in Multiple Social Networks , 2017, IEEE Access.
[25] Chengqi Zhang,et al. Dual influence embedded social recommendation , 2018, World Wide Web.
[26] Jure Leskovec,et al. The bursty dynamics of the Twitter information network , 2014, WWW.
[27] Junjie Wu,et al. How Many Zombies Around You? , 2013, 2013 IEEE 13th International Conference on Data Mining.
[28] Leandros A. Maglaras,et al. A Cybersecurity Detection Framework for Supervisory Control and Data Acquisition Systems , 2016, IEEE Transactions on Industrial Informatics.
[29] Xin Lu,et al. Efficient network disintegration under incomplete information: the comic effect of link prediction , 2016, Scientific reports.
[30] Changsheng Xu,et al. Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning , 2014, IEEE Transactions on Multimedia.
[31] Sushil Jajodia,et al. Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? , 2012, IEEE Transactions on Dependable and Secure Computing.
[32] Ning Ma,et al. SuperedgeRank algorithm and its application in identifying opinion leader of online public opinion supernetwork , 2014, Expert Syst. Appl..
[33] Zhihua Cai,et al. Boosting for Multi-Graph Classification , 2015, IEEE Transactions on Cybernetics.
[34] Ning Ma,et al. Superedge prediction: What opinions will be mined based on an opinion supernetwork model? , 2014, Decis. Support Syst..
[35] Li Guo,et al. On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization , 2015, IEEE Transactions on Knowledge and Data Engineering.
[36] David F. Gleich,et al. PageRank beyond the Web , 2014, SIAM Rev..
[37] Philip S. Yu,et al. Multiple Structure-View Learning for Graph Classification , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[38] R. Turner,et al. Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain , 2010, PloS one.
[39] Xindong Wu,et al. Positive and Unlabeled Multi-Graph Learning , 2017, IEEE Transactions on Cybernetics.
[40] Jake M. Hofman,et al. Prediction and explanation in social systems , 2017, Science.
[41] Laura Radaelli,et al. Are You Your Friends’ Friend? Poor Perception of Friendship Ties Limits the Ability to Promote Behavioral Change , 2016, PloS one.
[42] Jian Xu,et al. Social network user influence sense-making and dynamics prediction , 2014, Expert Syst. Appl..
[43] Bin Wu,et al. Maximizing the spread of influence ranking in social networks , 2014, Inf. Sci..
[44] William F. Gale,et al. Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real-world data , 2014, Complex..