Classifying latent infection states in complex networks

Computational Social Networks

Table 1 Topologies ^a

Topology	Type	n	m	c	σ	s	d ^b	Description
Yeast	Bio.	1,870	2,277	0.0672	3.1374	6.5044	19	Yeast Protein Interaction Network [16]
GrQc	Collab.	5,242	28,980	0.5296	7.9179	3.8317	17	Collaboration networks from ArXiv general relativity and quantum cosmology [17]
HepTh	Collab.	9,877	51,971	0.4714	6.1864	3.0213	18	Collaboration networks from ArXiv high energy physics [17]
Power	Device	4,941	6,594	0.0801	1.7913	2.1898	46	Topology of the Western States Power Grid of the United States [18]
Oregon	Device	11,174	23,409	0.2964	33.0948	46.4017	10	Topology of Autonomous Systems (AS) peering information inferred from Oregon route-views between 31 March 2001 and 26 May 2001 [19]

^a n, m, c, σ, s, and d are the number of nodes, the number of edges, clustering coefficient, standard deviation of degree distribution, skewness of degree distribution [20], and diameter of network, respectively.
^b d is calculated with the largest connected component if a network has multiple connected components.