Results 241 to 250 of about 570,025 (282)
Some of the next articles are maybe not open access.
2019
Networks are a convenient and powerful tool for modeling many real world processes, crossing different industrial, sociological and scientific areas, that exhibit some sort of interaction, called edge or link, between different target entities, called nodes.
Giuseppe Manco +2 more
openaire +2 more sources
Networks are a convenient and powerful tool for modeling many real world processes, crossing different industrial, sociological and scientific areas, that exhibit some sort of interaction, called edge or link, between different target entities, called nodes.
Giuseppe Manco +2 more
openaire +2 more sources
Topology representing networks
Neural Networks, 1994Abstract A Hebbian adaptation rule with winner-take-all like competition is introduced. It is shown that this competitive Hebbian rule forms so-called Delaunay triangulations, which play an important role in computational geometry for efficiently solving proximity problems.
Thomas Martinetz, Klaus Schulten
openaire +1 more source
Reliability of network topologies
IEEE INFOCOM '88,Seventh Annual Joint Conference of the IEEE Computer and Communcations Societies. Networks: Evolution or Revolution?, 2003The authors present some analytical results which can be used to compute network reliability. Some simple techniques to make asymptotic approximations based on parameters of the network topology are derived. Explicit reliability formulae are computed for four network topologies, including the star and counterrotating ring.
G. A. Ray, J. J. Dunsmore
openaire +1 more source
The Topology of Shareholding Networks
2005We study the statistical properties of the network of shareholding relationships in the Italian stock market (MIB) and in two US stock markets (NYSE and NASDAQ). The networks are found to be scale free a feature which doesn't seem to be in accord with classical theories of portfolio optimization. Several statistical properties differ across markets and
Battiston S. +2 more
openaire +3 more sources
Topological energy of networks
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023Energy is an important network indicator defined by the eigenvalues of an adjacency matrix that includes the neighbor information for each node. This article expands the definition of network energy to include higher-order information between nodes. We use resistance distances to characterize the distances between nodes and order complexes to extract ...
openaire +2 more sources
Communications of the ACM, 2008
Knowing the structure of criminal and terrorist networks could provide the technical insight needed to disrupt their activities.
Jennifer Jie Xu 0001, Hsinchun Chen
openaire +1 more source
Knowing the structure of criminal and terrorist networks could provide the technical insight needed to disrupt their activities.
Jennifer Jie Xu 0001, Hsinchun Chen
openaire +1 more source
On the topology of overlay-networks
The 11th IEEE International Conference on Networks, 2003. ICON2003., 2004Random-graph models are about to become an important tool in the study of wireless ad-hoc and sensor-networks, peer-to-peer networks, and, generally, overlay-networks. Such models provide a theoretical basis to assess the capabilities of certain networks, and guide the design of new protocols. Especially the recently proposed models for so-called small-
openaire +1 more source
Evolving Topologies for Network Synchronization
2010 Complexity in Engineering, 2010In this paper we describe possible decentralized strategies to adaptively synchronize complex networks of oscillators. Firstly, we review two adaptation strategies for the coupling gains in the network, and then we describe a completely decentralized strategy to select adaptively the network edges.
DE LELLIS, PIETRO +3 more
openaire +2 more sources
Topological Analysis of Longitudinal Networks
2013 46th Hawaii International Conference on System Sciences, 2013Longitudinal networks evolve over time through the addition or deletion of nodes and edges. A longitudinal network can be viewed as a single static network that aggregates all edges observed over some time period (i.e., structure of network is fixed), or as a series of static networks observed in different point of time over the entire network ...
Shahadat Uddin +3 more
openaire +2 more sources
2019
Networks such as road networks, utility networks, computer and communication networks and even social networks are the backbone of human civilization. Network analysis enables quantitative measurement of the important criteria suchas delays, ease of routing and fault tolerance, and is required to build efficient and robust networks.
openaire +3 more sources
Networks such as road networks, utility networks, computer and communication networks and even social networks are the backbone of human civilization. Network analysis enables quantitative measurement of the important criteria suchas delays, ease of routing and fault tolerance, and is required to build efficient and robust networks.
openaire +3 more sources