Titlebook: Unifying Themes in Complex Systems; Vol VI: Proceedings Ali Minai,Dan Braha,Yaneer Bar-Yam Conference proceedings 2008 Springer-Verlag Ber

SPER

fulcrum

弯曲道理

A new measure of heterogeneity of complex networks based on degree sequencerch the behaviours and functions of complex networks. In this paper,entropy of degree sequence (EDS) as a new measure of the heterogeneity of complex networks is proposed and normalized entropy of degree sequence (NEDS) is defined. EDS is agreement with the normal meaning of heterogeneity within the

脾气暴躁的人

Are technological and social networks really different?graphs being compared are vastly different, as measured by their size (i.e., number of nodes and arcs) as well as their aggregate connectivity (i.e., degree sequence .). Although the hypothetical range for the Pearson coefficient is [−1,+1], we show by systematically rewiring 38 example networks whi

overwrought

火花

Estimating the dynamics of kernel-based evolving networksderstanding the governing dynamics of evolving networks and relies on an ., a scalar function of node properties, that stochastically drives the addition and deletion of vertices and edges. We illustrate how the kernel function of a given network can be extracted from the history of the network and

Virtues

Consensus Problems on Small World Graphs: A Structural Studyrdination with the other agents. To reach coordination, agents need to share information. In large groups of agents the information sharing should be local in some sense, due to energy limitations, reliability, and other constraints. A consensus protocol is an iterative method that provides the grou

Gustatory

Complex Knowledge Networks and Invention Collaboration and its importance to understanding technological advancement. This research while traditionally investigated via statistical analysis may be further examined via complex networks. It is demonstrated that the invention collaboration network’s degree distribution may be characterized by a power law,

就职

Intentional

Mobility of Innovators and Prosperity of Geographical Technology Clusters: A longitudinal examinatioco-authorship data, we construct inventor networks for two geographical telecom clusters — New Jersey and Texas — and investigate how the networks evolved longitudinally as the technology clusters were undergoing different stages of their lifecycles. The telecom industry in the former state had enco