Abstract When working with very large networks it is typical for scientists to present a “thinned out ” version of the network in order to avoid the clutter of the entire network. For example in the hypothetical case of illustrating trading patterns between groups of nations it might be appropriate to limit the inclusion of inter-nation edges to all those that are significant in terms of their weight but do not, say, associate with a country outside the grouping. Arising from a discussion during one of the introductory sessions we became interested in a problem relating to the discovery of “key events ” in a network, in terms of an ordered addition of edges to the network.
International audienceMany real world information can be represented by a graph with a set of nodes ...
<p>The 1000 networks of 8 nodes were evolved to maximise sensitivity to edge loses. The evolved netw...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...
When working with very large networks it is typical for scientists to present a ``thinned out\u27\u2...
<p>The number of teams that identify an edge at a specified cutoff is a measure of how easy or diffi...
<p>In the following part of the present work, we set to extract a large enough network with convinc...
Most of recent anonymization algorithms for networks are based on edge modification, i.e., adding an...
Complex networks are ubiquitous in our everyday life and can be used to model a wide variety of phen...
<p>For each threshold combination, the value represents the ratio of the total number of close space...
The edge clique covering (ECC) problem deals with discovering a set of (possibly overlapping) clique...
In order to conduct analyses of networked systems where connections between individuals take on a ra...
A threshold network is a type of complex network that is useful to model the way in which ideas trav...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
We introduce new broadcast and receive communicability indices that can be used as global measures o...
Abstract. We introduce new broadcast and receive communicability indices that can be used as global ...
International audienceMany real world information can be represented by a graph with a set of nodes ...
<p>The 1000 networks of 8 nodes were evolved to maximise sensitivity to edge loses. The evolved netw...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...
When working with very large networks it is typical for scientists to present a ``thinned out\u27\u2...
<p>The number of teams that identify an edge at a specified cutoff is a measure of how easy or diffi...
<p>In the following part of the present work, we set to extract a large enough network with convinc...
Most of recent anonymization algorithms for networks are based on edge modification, i.e., adding an...
Complex networks are ubiquitous in our everyday life and can be used to model a wide variety of phen...
<p>For each threshold combination, the value represents the ratio of the total number of close space...
The edge clique covering (ECC) problem deals with discovering a set of (possibly overlapping) clique...
In order to conduct analyses of networked systems where connections between individuals take on a ra...
A threshold network is a type of complex network that is useful to model the way in which ideas trav...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
We introduce new broadcast and receive communicability indices that can be used as global measures o...
Abstract. We introduce new broadcast and receive communicability indices that can be used as global ...
International audienceMany real world information can be represented by a graph with a set of nodes ...
<p>The 1000 networks of 8 nodes were evolved to maximise sensitivity to edge loses. The evolved netw...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...