网络的谱性质与应用.ppt
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1、Properties and applications of spectra for networks,章 忠 志复旦大学计算机科学技术学院Email:Homepage:http:/http:/,第七届全国复杂网络学术会议,Collaborators,2023/11/16,Prof.Chen Guanrong(陈关荣),CityU of Hongkong Prof.Comellas Francesc,Universitat Politecnica de Catalunya,Barcelona,SpainQi Yi(齐轶),Master student(graduated)Wu Shunqi(伍
2、顺琪),Master student Wu Bin(吴斌),Master studentLin Yuan(林苑),Undergraduate student,2023/11/16,Main contents,3/43,Spectral properties of various matrixes and their relevance to structure and dynamics,Computation of spectra for different matrixes and their applications to network structure and random walk
3、s,Definitions,4/45,2023/11/16,Adjacency matrix A Diagonal degree matrix D Laplacian matrix L=D-A Probability transition matrix Normalized Laplacian matrix Fundamental matrix Modular matrix,Adjacency matrix,5/45,2023/11/16,From the greatest eigenvalue(often called spectrum radius),one can provide a l
4、ower bound for diameter of a network.,J.Combin.Theory Ser.B 91(1)(2004)143146.,The diameter of a connected graph G is less than the number of distinct eigenvalues of the adjacency matrix of G.,Electronic Journal of Linear Algebra,2005,14:12-31,Adjacency matrix,6/45,2023/11/16,SIS model:the largest e
5、igenvalue defines an epidemic threshold,SI model:the eigenvector corresponding to the largest eigenvalue is related to the spreading power of nodes in a network.,Complexus 3,131-146(2006),ACM Trans.Inf.Syst.Secur.10,13(2008),Spectrum radius plays a central role in determining critical couplings for
6、the onset of coherent behavior.,Phys.Rev.E 71,036151 2005.,7/45,2023/11/16,If the probability of removing node i is,the network disintegrates if is such that the largest eigenvalue of the matrix with entries is less than 1,where A is the adjacency matrix of the network.,PRL 100,058701(2008),Weighted
7、 percolation on directed networks:,Adjacency matrix,Laplacian matrix,8/45,2023/11/16,Algebraic connectivityprovides a upper bound for diameter of a network.,SIAM Journal of discrete mathematics,1994,7(3):443-457.,Spanning trees,2023/11/16,9/43,Effective resistance,Laplacian matrix,2023/11/16,is degr
8、ee of node z,m is the number of edges.,10/43,Random walks,Laplacian matrix,2023/11/16,Quantum walks Synchronization Generalized Gaussian structures Ultimatum game,11/43,Laplacian matrix,Relevance to other dynamics,Transition probability matrix,12/45,2023/11/16,for non-bipartite graphs,are the corres
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