A systematic survey on influential spreaders identification in complex networks with a focus on K-shell based techniques
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[1] Giridhar Maji,et al. Influential spreaders identification in complex networks with potential edge weight based k-shell degree neighborhood method , 2020, J. Comput. Sci..
[2] Mohammad Ali Nematbakhsh,et al. Identification of multi-spreader users in social networks for viral marketing , 2017, J. Inf. Sci..
[3] 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.
[4] Masahiro Kimura,et al. Prediction of Information Diffusion Probabilities for Independent Cascade Model , 2008, KES.
[5] Tao Zhou,et al. The H-index of a network node and its relation to degree and coreness , 2016, Nature Communications.
[6] Ahmad Zareie,et al. A hierarchical approach for influential node ranking in complex social networks , 2018, Expert Syst. Appl..
[7] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[8] Sule Gündüz Ögüdücü,et al. Identifying topical influencers on twitter based on user behavior and network topology , 2018, Knowl. Based Syst..
[9] Michael Ley,et al. The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives , 2002, SPIRE.
[10] Hernán A. Makse,et al. Collective Influence Algorithm to find influencers via optimal percolation in massively large social media , 2016, Scientific Reports.
[11] Yiping Yao,et al. Identifying all-around nodes for spreading dynamics in complex networks , 2012 .
[12] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[13] Jinhong Jung,et al. Random walk-based ranking in signed social networks: model and algorithms , 2019, Knowledge and Information Systems.
[14] W. Zachary,et al. An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.
[15] Gert Sabidussi,et al. The centrality index of a graph , 1966 .
[16] Zhi-Dan Zhao,et al. Identifying a set of influential spreaders in complex networks , 2016, Scientific Reports.
[17] Marko Bajec,et al. Robust network community detection using balanced propagation , 2011, ArXiv.
[18] Yabing Yao,et al. Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient , 2018 .
[19] Ingemar Nåsell,et al. The quasi-stationary distribution of the closed endemic sis model , 1996, Advances in Applied Probability.
[20] Joel H. Spencer,et al. Sudden Emergence of a Giantk-Core in a Random Graph , 1996, J. Comb. Theory, Ser. B.
[21] Zili Zhang,et al. Centrality measure in weighted networks based on an amoeboid algorithm , 2012 .
[22] P. Bonacich. Factoring and weighting approaches to status scores and clique identification , 1972 .
[23] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[24] Mathieu Bastian,et al. Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.
[25] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[26] Y. Moreno,et al. Epidemic outbreaks in complex heterogeneous networks , 2001, cond-mat/0107267.
[27] Fan Yang,et al. Identification of top-k influential nodes based on enhanced discrete particle swarm optimization for influence maximization , 2019, Physica A: Statistical Mechanics and its Applications.
[28] M. Kendall. The treatment of ties in ranking problems. , 1945, Biometrika.
[29] Zhiming Zheng,et al. Searching for superspreaders of information in real-world social media , 2014, Scientific Reports.
[30] J. Kleinberg. Algorithmic Game Theory: Cascading Behavior in Networks: Algorithmic and Economic Issues , 2007 .
[31] Hassan Badir,et al. Identification of influential spreaders in complex networks using HybridRank algorithm , 2018, Scientific Reports.
[32] Yanyu Zhao,et al. Identifying influential nodes in complex networks based on Neighbours and edges , 2018, Peer-to-Peer Networking and Applications.
[33] Lucas C Parra,et al. Finding influential nodes for integration in brain networks using optimal percolation theory , 2018, Nature Communications.
[34] Jie Shan,et al. An exploratory analysis on the evolution of the US airport network , 2014 .
[35] Erez Shmueli,et al. Active viral marketing: Incorporating continuous active seeding efforts into the diffusion model , 2018, Expert Syst. Appl..
[36] 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.
[37] Chuang Ma,et al. Identifying influential spreaders in complex networks based on gravity formula , 2015, ArXiv.
[38] Jun Ma,et al. Identifying and ranking influential spreaders in complex networks with consideration of spreading probability , 2017 .
[39] Yamir Moreno,et al. The Dynamics of Protest Recruitment through an Online Network , 2011, Scientific reports.
[40] Biswanath Dutta,et al. Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures , 2020, Expert Syst. Appl..
[41] Ning Ma,et al. SuperedgeRank algorithm and its application in identifying opinion leader of online public opinion supernetwork , 2014, Expert Syst. Appl..
[42] Yang Wang,et al. Identifying and quantifying potential super-spreaders in social networks , 2019, Scientific Reports.
[43] Ping Wang,et al. A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks , 2020, Knowl. Based Syst..
[44] Yabing Yao,et al. An adaptive discrete particle swarm optimization for influence maximization based on network community structure , 2019, International Journal of Modern Physics C.
[45] An Zeng,et al. Optimal tree for both synchronizability and converging time , 2009 .
[46] Mark E. J. Newman,et al. The Structure and Function of Complex Networks , 2003, SIAM Rev..
[47] Mahdi Jalili,et al. Identification of influential users in social network using gray wolf optimization algorithm , 2020, Expert Syst. Appl..
[48] Yuval Shavitt,et al. A model of Internet topology using k-shell decomposition , 2007, Proceedings of the National Academy of Sciences.
[49] M. Keeling,et al. Modeling Infectious Diseases in Humans and Animals , 2007 .
[50] A. Arenas,et al. Community detection in complex networks using extremal optimization. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[51] Lev Muchnik,et al. Identifying influential spreaders in complex networks , 2010, 1001.5285.
[52] An Zeng,et al. Iterative resource allocation for ranking spreaders in complex networks , 2014 .
[53] Yong Deng,et al. Weighted k-shell decomposition for complex networks based on potential edge weights , 2015 .
[54] Hernán A. Makse,et al. Efficient collective influence maximization in cascading processes with first-order transitions , 2016, Scientific Reports.
[55] Sangwook Kim,et al. Identifying and ranking influential spreaders in complex networks by neighborhood coreness , 2014 .
[56] Keyhan Khamforoosh,et al. Influence maximization in social networks based on TOPSIS , 2018, Expert Syst. Appl..
[57] Jon Kleinberg,et al. Authoritative sources in a hyperlinked environment , 1998, SODA '98.
[58] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[59] Ming Tang,et al. Identify influential spreaders in complex networks, the role of neighborhood , 2015, ArXiv.
[60] Frank Schweitzer,et al. A k-shell decomposition method for weighted networks , 2012, ArXiv.
[61] Mark E. J. Newman. A measure of betweenness centrality based on random walks , 2005, Soc. Networks.
[62] Réka Albert,et al. Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[63] Yiannis Kompatsiaris,et al. Multilabel user classification using the community structure of online networks , 2017, PloS one.
[64] Seyed Mojtaba Hosseini Bamakan,et al. Opinion leader detection: A methodological review , 2019, Expert Syst. Appl..
[65] Phillip Bonacich,et al. Some unique properties of eigenvector centrality , 2007, Soc. Networks.
[66] Zili Zhang,et al. A hybrid strategy for network immunization , 2018 .
[67] Bo Zhang,et al. A most influential node group discovery method for influence maximization in social networks: A trust-based perspective , 2019, Data Knowl. Eng..
[68] Yi-Cheng Zhang,et al. Leaders in Social Networks, the Delicious Case , 2011, PloS one.
[69] An Zeng,et al. Ranking spreaders by decomposing complex networks , 2012, ArXiv.
[70] Leo Katz,et al. A new status index derived from sociometric analysis , 1953 .
[71] Alessandro Vespignani,et al. Epidemic spreading in scale-free networks. , 2000, Physical review letters.
[72] Alireza Abdollahpouri,et al. Ranking nodes in complex networks based on local structure and improving closeness centrality , 2019, Neurocomputing.
[73] Duanbing Chen,et al. Vital nodes identification in complex networks , 2016, ArXiv.
[74] Paolo Massa,et al. Bowling Alone and Trust Decline in Social Network Sites , 2009, 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing.
[75] Xiaoqi Ma,et al. Identifying influential spreaders by gravity model , 2019, Scientific Reports.
[76] Huiyan Kang,et al. Epidemic spreading and global stability of an SIS model with an infective vector on complex networks , 2015, Commun. Nonlinear Sci. Numer. Simul..
[77] Claudio Castellano,et al. Thresholds for epidemic spreading in networks , 2010, Physical review letters.
[78] Claudio Castellano,et al. Leveraging percolation theory to single out influential spreaders in networks , 2016, Physical review. E.
[79] Canshi Zhu,et al. A novel method of evaluating key nodes in complex networks , 2017 .
[80] Allan Borodin,et al. Threshold Models for Competitive Influence in Social Networks , 2010, WINE.
[81] Mark S. Granovetter. Threshold Models of Collective Behavior , 1978, American Journal of Sociology.
[82] Xiaoge Zhang,et al. A Bio-Inspired Methodology of Identifying Influential Nodes in Complex Networks , 2013, PloS one.
[83] Albert-László Barabási,et al. Controllability of complex networks , 2011, Nature.
[84] J. Coleman. Introduction to Mathematical Sociology , 1965 .
[85] Neo D. Martinez. Artifacts or Attributes? Effects of Resolution on the Little Rock Lake Food Web , 1991 .
[86] Hao Liao,et al. Overlapping influence inspires the selection of multiple spreaders in complex networks , 2018, Physica A: Statistical Mechanics and its Applications.
[87] Ming Tang,et al. Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition , 2014, Scientific Reports.
[88] Mahdi Jalili,et al. Influential node ranking in social networks based on neighborhood diversity , 2019, Future Gener. Comput. Syst..
[89] M. Newman. Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[90] Vladimir Batagelj,et al. Pajek - Program for Large Network Analysis , 1999 .
[91] D. Lusseau,et al. The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations , 2003, Behavioral Ecology and Sociobiology.
[92] Ahmad Zareie,et al. EHC: Extended H-index Centrality measure for identification of users’ spreading influence in complex networks , 2019, Physica A: Statistical Mechanics and its Applications.
[93] Pablo M. Gleiser,et al. Community Structure in Jazz , 2003, Adv. Complex Syst..
[94] Jacob Goldenberg,et al. Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth , 2001 .
[95] Mariana Curado Malta,et al. Influential spreaders identification in complex networks with improved k-shell hybrid method , 2020, Expert Syst. Appl..
[96] Yicheng Zhang,et al. Identifying influential nodes in complex networks , 2012 .
[97] Lada A. Adamic,et al. The political blogosphere and the 2004 U.S. election: divided they blog , 2005, LinkKDD '05.
[98] W. Knight. A Computer Method for Calculating Kendall's Tau with Ungrouped Data , 1966 .
[99] Biswanath Dutta,et al. Identifying influential spreaders in complex networks based on kshell hybrid method , 2018, Physica A: Statistical Mechanics and its Applications.
[100] Hernán A. Makse,et al. Influence maximization in complex networks through optimal percolation , 2015, Nature.
[101] Qiang Guo,et al. Ranking the spreading influence in complex networks , 2013, ArXiv.
[102] Feng Li,et al. Maximizing micro-blog influence in online promotion , 2017, Expert Syst. Appl..
[103] Hernán A. Makse,et al. Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks , 2016, Scientific Reports.
[104] Kezan Li,et al. A novel weight neighborhood centrality algorithm for identifying influential spreaders in complex networks , 2017 .