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273views
8 years 1 months ago
 Beyond Graphs: A New Synthesis.
Artificial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. I...
Mattiussi, Claudio, Dürr, Peter, Marbach, Daniel ...
TNN
2010
173views Management» more  TNN 2010»
8 years 10 months ago
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays
Abstract--In this paper, the problem of stochastic synchronization analysis is investigated for a new array of coupled discretetime stochastic complex networks with randomly occurr...
Zidong Wang, Yao Wang, Yurong Liu
GLOBECOM
2010
IEEE
9 years 29 days ago
Information Epidemics in Complex Networks with Opportunistic Links and Dynamic Topology
Abstract--Wireless networks, especially mobile ad hoc networks (MANET) and cognitive radio networks (CRN), are facing two new challenges beyond traditional random network model: op...
Pin-Yu Chen, Kwang-Cheng Chen
IPPS
2010
IEEE
9 years 1 months ago
Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...
Seunghwa Kang, David A. Bader
CIDU
2010
9 years 1 months ago
Complex Networks In Climate Science: Progress, Opportunities And Challenges
Networks have been used to describe and model a wide range of complex systems, both natural as well as man-made. One particularly interesting application in the earth sciences is t...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
SPRINGSIM
2010
9 years 2 months ago
GTNA: a framework for the graph-theoretic network analysis
Concise and reliable graph-theoretic analysis of complex networks today is a cumbersome task, consisting essentially of the adaptation of intricate libraries for each specific pr...
Benjamin Schiller, Dirk Bradler, Immanuel Schweize...
CIKM
2010
Springer
9 years 2 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
NN
2007
Springer
9 years 3 months ago
Topological relationships between brain and social networks
Brains are complex networks. Previously, we revealed that specific connected structures are either significantly abundant or rare in cortical networks. However, it remains unkno...
Shuzo Sakata, Tetsuo Yamamori
BMCBI
2004
111views more  BMCBI 2004»
9 years 3 months ago
Aggregation of topological motifs in the Escherichia coli transcriptional regulatory network
Background: Transcriptional regulation of cellular functions is carried out through a complex network of interactions among transcription factors and the promoter regions of genes...
Radu Dobrin, Qasim K. Beg, Albert-Lászl&oac...
CORR
2007
Springer
135views Education» more  CORR 2007»
9 years 3 months ago
Multiple resolution of the modular structure of complex networks
Modular structure is ubiquitous in real-world complex networks. The detection of this type of organization into modules gives insights in the relationship between topological stru...
Alex Arenas, Alberto Fernández, Sergio G&oa...
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