A modified weighted TOPSIS to identify influential nodes in complex networks

[1]  M. Kendall The treatment of ties in ranking problems. , 1945, Biometrika.

[2]  W. Hoeffding A Non-Parametric Test of Independence , 1948 .

[3]  Gert Sabidussi,et al.  The centrality index of a graph , 1966 .

[4]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[5]  Raymond S. Koff Infectious diseases of humans: Dynamics and control. By R.M. Anderson and R.M. May, 757 pp. Oxford: Oxford University Press, 1991. $95.00 , 1992 .

[6]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[7]  Ratul Mahajan,et al.  Measuring ISP topologies with rocketfuel , 2002, SIGCOMM 2002.

[8]  Mark H. Chignell,et al.  A social hypertext model for finding community in blogs , 2006, HYPERTEXT '06.

[9]  Michal Valko,et al.  Feature Selection and Dimensionality Reduction in Genomics and Proteomics , 2007 .

[10]  Fabio Cuzzolin,et al.  A Geometric Approach to the Theory of Evidence , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[11]  Lev V. Utkin,et al.  A new ranking procedure by incomplete pairwise comparisons using preference subsets , 2009, Intell. Data Anal..

[12]  Van-Nam Huynh,et al.  Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation , 2010, Comput. Speech Lang..

[13]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[14]  Lev Muchnik,et al.  Identifying influential spreaders in complex networks , 2010, 1001.5285.

[15]  Yong Deng,et al.  Modeling contaminant intrusion in water distribution networks: A new similarity-based DST method , 2011, Expert Syst. Appl..

[16]  Solomon Tesfamariam,et al.  Risk analysis in a linguistic environment: A fuzzy evidential reasoning-based approach , 2011, Expert Syst. Appl..

[17]  Yi-Cheng Zhang,et al.  Leaders in Social Networks, the Delicious Case , 2011, PloS one.

[18]  Yong He,et al.  Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches , 2011, NeuroImage.

[19]  Yiping Yao,et al.  Identifying all-around nodes for spreading dynamics in complex networks , 2012 .

[20]  Lars Backstrom,et al.  Structural diversity in social contagion , 2012, Proceedings of the National Academy of Sciences.

[21]  Yicheng Zhang,et al.  Identifying influential nodes in complex networks , 2012 .

[22]  Joseph T. Lizier,et al.  Identifying influential spreaders and efficiently estimating infection numbers in epidemic models: A walk counting approach , 2012, 1203.0502.

[23]  Hui Gao,et al.  Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering , 2013, PloS one.

[24]  Francisco Pedroche,et al.  A new method for comparing rankings through complex networks: Model and analysis of competitiveness of major European soccer leagues , 2013, Chaos.

[25]  Enrico Bozzo,et al.  Resistance distance, closeness, and betweenness , 2013, Soc. Networks.

[26]  Jian-Fang Zhou,et al.  Spontaneous scale-free structure in adaptive networks with synchronously dynamical linking. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Han Zhao,et al.  Identifying influential nodes in complex networks with community structure , 2013, Knowl. Based Syst..

[28]  S. Mahadevan,et al.  Identifying influential nodes in weighted networks based on evidence theory , 2013 .

[29]  Yong Liu,et al.  A method for 2-tuple linguistic dynamic multiple attribute decision making with entropy weight , 2014, J. Intell. Fuzzy Syst..

[30]  Qiang Guo,et al.  Ranking the spreading influence in complex networks , 2013, ArXiv.

[31]  Xinyang Deng,et al.  Supplier selection using AHP methodology extended by D numbers , 2014, Expert Syst. Appl..

[32]  Jun Ma,et al.  Ranking the spreading ability of nodes in complex networks based on local structure , 2014 .

[33]  Zhen Wang,et al.  Spontaneous Symmetry Breaking in Interdependent Networked Game , 2014, Scientific Reports.

[34]  Chao Fu,et al.  Robust evidential reasoning approach with unknown attribute weights , 2014, Knowl. Based Syst..

[35]  Ming Tang,et al.  Asymmetrically interacting spreading dynamics on complex layered networks , 2014, Scientific Reports.

[36]  S. Mahadevan,et al.  A new method of identifying influential nodes in complex networks based on TOPSIS , 2014 .

[37]  Yong Deng,et al.  Using the Fuzzy DEMATEL to Determine Environmental Performance: A Case of Printed Circuit Board Industry in Taiwan , 2015, PloS one.

[38]  Yu Luo,et al.  An improved method to rank generalized fuzzy numbers with different left heights and right heights , 2015, J. Intell. Fuzzy Syst..

[39]  Guangyuan Fu,et al.  A new method to construct co-author networks , 2015 .

[40]  Yong Deng,et al.  Generalized evidence theory , 2014, Applied Intelligence.

[41]  S. Mahadevan,et al.  Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP , 2015, Risk analysis : an official publication of the Society for Risk Analysis.

[42]  Yang Liu,et al.  An Improved Genetic Algorithm with Initial Population Strategy for Symmetric TSP , 2015 .

[43]  Cengiz Kahraman,et al.  Fuzzy Multicriteria Decision-Making: A Literature Review , 2015, Int. J. Comput. Intell. Syst..

[44]  Yong Deng A Threat Assessment Model under Uncertain Environment , 2015 .

[45]  Yu Luo,et al.  Determining Basic Probability Assignment Based on the Improved Similarity Measures of Generalized Fuzzy Numbers , 2015, Int. J. Comput. Commun. Control.

[46]  Quan Pan,et al.  Median evidential c-means algorithm and its application to community detection , 2015, Knowl. Based Syst..