Results 271 to 280 of about 876,573 (316)
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Social Networks, 2005
Centrality measures, or at least popular interpretations of these measures, make implicit assumptions about the manner in which traffic flows through a network. For example, some measures count only geodesic paths, apparently assuming that whatever flows through the network only moves along the shortest possible paths. This paper lays out a typology of
Stephen P Borgatti
exaly +2 more sources
Centrality measures, or at least popular interpretations of these measures, make implicit assumptions about the manner in which traffic flows through a network. For example, some measures count only geodesic paths, apparently assuming that whatever flows through the network only moves along the shortest possible paths. This paper lays out a typology of
Stephen P Borgatti
exaly +2 more sources
Networks, 2006
AbstractIn this article, motivated by applications of ordinary (distance) spanners in communication networks and to address such issues as bandwidth constraints on network links, link failures, network survivability, etc., we introduce a new notion of flow spanner, where one seeks a spanning subgraph H = (V, E') of a graph G = (V, E) which provides a ...
Feodor F. Dragan, Chenyu Yan
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AbstractIn this article, motivated by applications of ordinary (distance) spanners in communication networks and to address such issues as bandwidth constraints on network links, link failures, network survivability, etc., we introduce a new notion of flow spanner, where one seeks a spanning subgraph H = (V, E') of a graph G = (V, E) which provides a ...
Feodor F. Dragan, Chenyu Yan
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Estimation of flows in flow networks
European Journal of Operational Research, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ron Zohar, Dan Geiger
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IEEE Control Systems Letters, 2017
We consider flow-inducing networks, a class of models that are well-suited to describe important biochemical systems, including the MAPK pathway and the interactions at the trans-Golgi network. A flow-inducing network is given by the interconnection of subsystems (modules), each associated with a stochastic state matrix whose entries depend on the ...
Giordano G., Blanchini F.
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We consider flow-inducing networks, a class of models that are well-suited to describe important biochemical systems, including the MAPK pathway and the interactions at the trans-Golgi network. A flow-inducing network is given by the interconnection of subsystems (modules), each associated with a stochastic state matrix whose entries depend on the ...
Giordano G., Blanchini F.
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Operations Research Letters, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ariel Orda, Raphael Rom
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ariel Orda, Raphael Rom
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IEEE Transactions on Information Theory, 2000
Summary: We introduce a new class of problems called network information flow which is inspired by computer network applications. Consider a point-to-point communication network on which a number of information sources are to be mulitcast to certain sets of destinations. We assume that the information sources are mutually independent. The problem is to
Ahlswede, Rudolf +3 more
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Summary: We introduce a new class of problems called network information flow which is inspired by computer network applications. Consider a point-to-point communication network on which a number of information sources are to be mulitcast to certain sets of destinations. We assume that the information sources are mutually independent. The problem is to
Ahlswede, Rudolf +3 more
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Operations Research, 1972
This paper considers a directed capacitated network in which the supply at each source node and the demand at each sink node is a linear function of a parameter t. It presents two algorithms that determine the range of values for the parameter t; they correspond to the primal and dual linear-programming algorithms that solve this problem.
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This paper considers a directed capacitated network in which the supply at each source node and the demand at each sink node is a linear function of a parameter t. It presents two algorithms that determine the range of values for the parameter t; they correspond to the primal and dual linear-programming algorithms that solve this problem.
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2013
Identifying ‘networked flow’ as the key driver of networked creativity, this new volume in the Springer Briefs series deploys concepts from a range of sub-disciplines in psychology to suggest ways of optimizing the innovative potential of creative networks.
Gaggioli, Andrea +3 more
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Identifying ‘networked flow’ as the key driver of networked creativity, this new volume in the Springer Briefs series deploys concepts from a range of sub-disciplines in psychology to suggest ways of optimizing the innovative potential of creative networks.
Gaggioli, Andrea +3 more
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1987
A saturating flow through a network satisfies the condition that if it uses an edge then it uses its whole capacity. We show that the problem to verify whether there is a non-zero saturating flow in a given network is strongly NP-complete. This problem restricted to edge series-parallel networks remains NP-complete, but there is a pseudopolynomial time
Bogdan S. Chlebus +2 more
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A saturating flow through a network satisfies the condition that if it uses an edge then it uses its whole capacity. We show that the problem to verify whether there is a non-zero saturating flow in a given network is strongly NP-complete. This problem restricted to edge series-parallel networks remains NP-complete, but there is a pseudopolynomial time
Bogdan S. Chlebus +2 more
openaire +1 more source