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Open AccessJournal ArticleDOI

Universal Behavior of Load Distribution in Scale-Free Networks

Kwang-Il Goh, +2 more
- 12 Dec 2001 - 
- Vol. 87, Iss: 27, pp 278701-278701
TLDR
It is conjecture that the load exponent is a universal quantity to characterize scale-free networks and valid for both undirected and directed cases.
Abstract
We study a problem of data packet transport in scale-free networks whose degree distribution follows a power law with the exponent $\ensuremath{\gamma}$. Load, or ``betweenness centrality,'' of a vertex is the accumulated total number of data packets passing through that vertex when every pair of vertices sends and receives a data packet along the shortest path connecting the pair. It is found that the load distribution follows a power law with the exponent $\ensuremath{\delta}\ensuremath{\approx}2.2(1)$, insensitive to different values of $\ensuremath{\gamma}$ in the range, $2l\ensuremath{\gamma}\ensuremath{\le}3$, and different mean degrees, which is valid for both undirected and directed cases. Thus, we conjecture that the load exponent is a universal quantity to characterize scale-free networks.

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Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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Finding and evaluating community structure in networks.

TL;DR: It is demonstrated that the algorithms proposed are highly effective at discovering community structure in both computer-generated and real-world network data, and can be used to shed light on the sometimes dauntingly complex structure of networked systems.
Journal ArticleDOI

Complex networks: Structure and dynamics

TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.
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Statistical physics of social dynamics

TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
Journal ArticleDOI

Catastrophic cascade of failures in interdependent networks

TL;DR: In this paper, the authors develop a framework for understanding the robustness of interacting networks subject to cascading failures and present exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks.