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Content Provider | IEEE Xplore Digital Library |
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Author | Preciado, V.M. Jadbabaie, A. |
Copyright Year | 2010 |
Description | Author affiliation: GRASP Laboratory, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, 19104, USA (Preciado, V.M.; Jadbabaie, A.) |
Abstract | It is well-known that the behavior of many dynamical processes running on networks is intimately related to the eigenvalue spectrum of the network. In this paper, we address the problem of inferring global information regarding the eigenvalue spectrum of a network from a set of local samples of its structure. In particular, we find explicit relationships between the so-called spectral moments of a graph and the presence of certain small subgraphs, also called motifs, in the network. Since the eigenvalues of the network have a direct influence on the network dynamical behavior, our result builds a bridge between local network measurements (i.e., the presence of small subgraphs) and global dynamical behavior (via the spectral moments). Furthermore, based on our result, we propose a novel decentralized scheme to compute the spectral moments of a network by aggregating local measurements of the network topology. Our final objective is to understand the relationships between the behavior of dynamical processes taking place in a large-scale complex network and its local topological properties. |
Starting Page | 2686 |
Ending Page | 2691 |
File Size | 197814 |
Page Count | 6 |
File Format | |
ISBN | 9781424477456 |
ISSN | 07431546 |
e-ISBN | 9781424477463 |
DOI | 10.1109/CDC.2010.5717228 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-12-15 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Eigenvalues and eigenfunctions Complex networks Symmetric matrices Particle measurements Distributed algorithms |
Content Type | Text |
Resource Type | Article |
Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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