Finding multiple core-periphery pairs in networks
暂无分享,去创建一个
[1] Sang Hoon Lee,et al. Detection of core–periphery structure in networks using spectral methods and geodesic paths , 2014, European Journal of Applied Mathematics.
[2] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[3] Raj Bhatnagar,et al. Core Periphery Structures in Weighted Graphs Using Greedy Growth , 2016, 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI).
[4] Roger Guimerà,et al. Extracting the hierarchical organization of complex systems , 2007, Proceedings of the National Academy of Sciences.
[5] Lada A. Adamic,et al. The political blogosphere and the 2004 U.S. election: divided they blog , 2005, LinkKDD '05.
[6] Mark Newman,et al. Networks: An Introduction , 2010 .
[7] Xingyi Zhang,et al. A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks , 2016, Chaos.
[8] K. N. Dollman,et al. - 1 , 1743 .
[9] Ulrik Brandes,et al. What is network science? , 2013, Network Science.
[10] Tiago P. Peixoto. Nonparametric Bayesian inference of the microcanonical stochastic block model. , 2016, Physical review. E.
[11] Jure Leskovec,et al. Overlapping community detection at scale: a nonnegative matrix factorization approach , 2013, WSDM.
[12] Ling-Yun Wu,et al. Structure and dynamics of core/periphery networks , 2013, J. Complex Networks.
[13] Ragini Verma,et al. Unifying Inference of Meso-Scale Structures in Networks , 2015, PloS one.
[14] M. Meilă. Comparing clusterings---an information based distance , 2007 .
[15] Alan M. Frieze,et al. Random graphs , 2006, SODA '06.
[16] Xiao Zhang,et al. Identification of core-periphery structure in networks , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.
[17] Mark E. J. Newman,et al. Stochastic blockmodels and community structure in networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] Réka Albert,et al. Near linear time algorithm to detect community structures in large-scale networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[19] Andrzej Skowron,et al. Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence , 2005 .
[20] Stefan Bornholdt,et al. Detecting fuzzy community structures in complex networks with a Potts model. , 2004, Physical review letters.
[21] J. Nagler,et al. Emergence of core–peripheries in networks , 2016, Nature Communications.
[22] R. Guimerà,et al. The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[23] Dunja Mladenic,et al. Proceedings of the 3rd international workshop on Link discovery , 2005, KDD 2005.
[24] Remo Guidieri. Res , 1995, RES: Anthropology and Aesthetics.
[25] Christian Komusiewicz,et al. A graph modification approach for finding core–periphery structures in protein interaction networks , 2014, Algorithms for Molecular Biology.
[26] David A. Smith,et al. Computing continuous core/periphery structures for social relations data with MINRES/SVD , 2010, Soc. Networks.
[27] Athen Ma,et al. Rich-Cores in Networks , 2014, PloS one.
[28] T. Lux,et al. Core–Periphery Structure in the Overnight Money Market: Evidence from the e-MID Trading Platform , 2015 .
[29] Hamid Krim,et al. Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks , 2015, IEEE Transactions on Signal and Information Processing over Networks.
[30] Jianxi Luo,et al. Multicores-periphery structure in networks , 2016, Network Science.
[31] Mason A. Porter,et al. Task-Based Core-Periphery Organization of Human Brain Dynamics , 2012, PLoS Comput. Biol..
[32] Jure Leskovec,et al. Overlapping Communities Explain Core–Periphery Organization of Networks , 2014, Proceedings of the IEEE.
[33] Ben R. Craig,et al. Interbank Tiering and Money Center Banks , 2010 .
[34] Martin G. Everett,et al. Models of core/periphery structures , 2000, Soc. Networks.
[35] Fabio Della Rossa,et al. Profiling core-periphery network structure by random walkers , 2013, Scientific Reports.
[36] Alessandro Vespignani,et al. Large scale networks fingerprinting and visualization using the k-core decomposition , 2005, NIPS.
[37] An-Ping Zeng,et al. Centrality, Network Capacity, and Modularity as Parameters to Analyze the Core-Periphery Structure in Metabolic Networks , 2008, Proceedings of the IEEE.
[38] Florence March,et al. 2016 , 2016, Affair of the Heart.
[39] Aristides Gionis,et al. Proceedings of the sixth ACM international conference on Web search and data mining , 2013, WSDM 2013.
[40] P. Holme. Core-periphery organization of complex networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[41] Jure Leskovec,et al. Community-Affiliation Graph Model for Overlapping Network Community Detection , 2012, 2012 IEEE 12th International Conference on Data Mining.
[42] E. Levina,et al. Community extraction for social networks , 2010, Proceedings of the National Academy of Sciences.
[43] Sang Hoon Lee,et al. Density-Based and Transport-Based Core-Periphery Structures in Networks , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[44] B. M. Fulk. MATH , 1992 .
[45] Yousef Saad,et al. Dense Subgraph Extraction with Application to Community Detection , 2012, IEEE Transactions on Knowledge and Data Engineering.
[46] John P. Boyd,et al. Computing core/periphery structures and permutation tests for social relations data , 2004, Soc. Networks.
[47] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[48] Z. Šidák. Rectangular Confidence Regions for the Means of Multivariate Normal Distributions , 1967 .
[49] W. Zachary,et al. An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.
[50] Mason A. Porter,et al. Core-Periphery Structure in Networks , 2012, SIAM J. Appl. Math..
[51] J. Reichardt,et al. Statistical mechanics of community detection. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[52] Brian W. Kernighan,et al. An efficient heuristic procedure for partitioning graphs , 1970, Bell Syst. Tech. J..