UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment
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[1] Joel C. Miller,et al. EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks , 2019, J. Open Source Softw..
[2] Sehl Mellouli,et al. From citizens to government policy-makers: Social media data analysis , 2019, Gov. Inf. Q..
[3] Hassan Badir,et al. Identification of influential spreaders in complex networks using HybridRank algorithm , 2018, Scientific Reports.
[4] Haldun Akoglu,et al. User's guide to correlation coefficients , 2018, Turkish journal of emergency medicine.
[5] Yang Liu,et al. Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks , 2018, AAAI.
[6] Rinkle Rani,et al. A parallel fuzzy clustering algorithm for large graphs using Pregel , 2017, Expert Syst. Appl..
[7] Alex Thomo,et al. Computation of K-Core Decomposition on Giraph , 2017, ArXiv.
[8] Ya Zhao,et al. Fast ranking influential nodes in complex networks using a k-shell iteration factor , 2016 .
[9] Joseph B. Bayer,et al. Sharing the small moments: ephemeral social interaction on Snapchat , 2016 .
[10] Hing Kai Chan,et al. A Mixed‐Method Approach to Extracting the Value of Social Media Data , 2016 .
[11] Qiang Guo,et al. Locating influential nodes via dynamics-sensitive centrality , 2015, Scientific Reports.
[12] Claudio Martella,et al. Practical Graph Analytics with Apache Giraph , 2015, Apress.
[13] Alex Thomo,et al. K-Core Decomposition of Large Networks on a Single PC , 2015, Proc. VLDB Endow..
[14] Chung-Yuan Huang,et al. Identifying Super-Spreader Nodes in Complex Networks , 2015 .
[15] Ming Tang,et al. Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamics , 2015, Scientific Reports.
[16] Kaiqun Fu,et al. Social Media Data Analysis for Traffic Incident Detection and Management , 2015 .
[17] M. Tamer Özsu,et al. An Experimental Comparison of Pregel-like Graph Processing Systems , 2014, Proc. VLDB Endow..
[18] Subbarao Kambhampati,et al. What We Instagram: A First Analysis of Instagram Photo Content and User Types , 2014, ICWSM.
[19] Xin Chen,et al. Mining Social Media Data for Understanding Students’ Learning Experiences , 2014, IEEE Transactions on Learning Technologies.
[20] Kristina Lerman,et al. The Simple Rules of Social Contagion , 2013, Scientific Reports.
[21] Laks V. S. Lakshmanan,et al. Information and Influence Propagation in Social Networks , 2013, Synthesis Lectures on Data Management.
[22] Jie Tang,et al. Learning to predict reciprocity and triadic closure in social networks , 2013, TKDD.
[23] Duanbing Chen,et al. Identifying Influential Spreaders by Weighted LeaderRank , 2013, ArXiv.
[24] Cécile Favre,et al. Information diffusion in online social networks: a survey , 2013, SGMD.
[25] A. Montresor,et al. k-Core Decomposition , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[26] Mahmoud Fouz,et al. Why rumors spread so quickly in social networks , 2012, Commun. ACM.
[27] S. Hofmann,et al. Why Do People Use Facebook? , 2012, Personality and individual differences.
[28] Lada A. Adamic,et al. The role of social networks in information diffusion , 2012, WWW.
[29] Maxi San Miguel,et al. A measure of individual role in collective dynamics , 2010, Scientific Reports.
[30] Sophie Ahrens,et al. Recommender Systems , 2012 .
[31] Jie Tang,et al. Who will follow you back?: reciprocal relationship prediction , 2011, CIKM '11.
[32] Vladimir Batagelj,et al. Fast algorithms for determining (generalized) core groups in social networks , 2011, Adv. Data Anal. Classif..
[33] Barbara Poblete,et al. Information credibility on twitter , 2011, WWW.
[34] Yi-Cheng Zhang,et al. Leaders in Social Networks, the Delicious Case , 2011, PloS one.
[35] Scott Counts,et al. Identifying topical authorities in microblogs , 2011, WSDM '11.
[36] Daniel M. Romero,et al. Influence and passivity in social media , 2010, ECML/PKDD.
[37] Mario Cataldi,et al. Emerging topic detection on Twitter based on temporal and social terms evaluation , 2010, MDMKDD '10.
[38] John Skvoretz,et al. Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.
[39] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[40] Mark Newman,et al. Networks: An Introduction , 2010 .
[41] Hairong Kuang,et al. The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).
[42] Hosung Park,et al. What is Twitter, a social network or a news media? , 2010, WWW '10.
[43] Lev Muchnik,et al. Identifying influential spreaders in complex networks , 2010, 1001.5285.
[44] Virgílio A. F. Almeida,et al. Detecting Spammers on Twitter , 2010 .
[45] Kevin Makice,et al. Twitter API: Up and Running: Learn How to Build Applications with the Twitter API , 2009 .
[46] K. Iyer,et al. All-Pairs Shortest-Paths Problem for Unweighted Graphs in O(n2 log n) Time , 2009 .
[47] Xiang-Yang Li,et al. Ranking of Closeness Centrality for Large-Scale Social Networks , 2008, FAW.
[48] Gilad Mishne,et al. Finding high-quality content in social media , 2008, WSDM '08.
[49] Sanjay Ghemawat,et al. MapReduce: simplified data processing on large clusters , 2008, CACM.
[50] M. Keeling,et al. Modeling Infectious Diseases in Humans and Animals , 2007 .
[51] Eran Shir,et al. A model of Internet topology using k-shell decomposition , 2006, Proceedings of the National Academy of Sciences.
[52] Jure Leskovec,et al. The dynamics of viral marketing , 2005, EC '06.
[53] Ayman Farahat,et al. Authority Rankings from HITS, PageRank, and SALSA: Existence, Uniqueness, and Effect of Initialization , 2005, SIAM J. Sci. Comput..
[54] Sergey N. Dorogovtsev,et al. K-core Organization of Complex Networks , 2005, Physical review letters.
[55] Alessandro Vespignani,et al. Large scale networks fingerprinting and visualization using the k-core decomposition , 2005, NIPS.
[56] Alessandro Vespignani,et al. K-core Decomposition: a Tool for the Visualization of Large Scale Networks , 2005, ArXiv.
[57] M. Newman. A measure of betweenness centrality based on random walks , 2003, Soc. Networks.
[58] David E. Culler,et al. The ganglia distributed monitoring system: design, implementation, and experience , 2004, Parallel Comput..
[59] Reuven Cohen,et al. Efficient immunization strategies for computer networks and populations. , 2002, Physical review letters.
[60] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[61] S H Strogatz,et al. Random graph models of social networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[62] Alessandro Vespignani,et al. Immunization of complex networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[63] U. Brandes. A faster algorithm for betweenness centrality , 2001 .
[64] Alessandro Vespignani,et al. EPIDEMIC SPREADING IN SCALEFREE NETWORKS , 2001 .
[65] O. Diekmann,et al. Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation , 2000 .
[66] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[67] Caroline Haythornthwaite,et al. Studying Online Social Networks , 2006, J. Comput. Mediat. Commun..
[68] Shisheng Shang,et al. Distributed Hardwired Barrier Synchronization for Scalable Multiprocessor Clusters , 1995, IEEE Trans. Parallel Distributed Syst..
[69] S. Borgatti. Centrality and AIDS , 1995 .
[70] P. Kaye. Infectious diseases of humans: Dynamics and control , 1993 .
[71] Stephen B. Seidman,et al. Network structure and minimum degree , 1983 .
[72] G. E. Noether,et al. Why Kendall Tau , 1981 .
[73] Leonard M. Freeman,et al. A set of measures of centrality based upon betweenness , 1977 .
[74] Gert Sabidussi,et al. The centrality index of a graph , 1966 .