https://charlesreid1.com/w/index.php?action=history&feed=atom&title=Statistical_Analysis_of_NetworksStatistical Analysis of Networks - Revision history2026-06-19T11:38:37ZRevision history for this page on the wikiMediaWiki 1.39.12https://charlesreid1.com/w/index.php?title=Statistical_Analysis_of_Networks&diff=9228&oldid=prevAdmin: Created page with "=Statistics and Analysis of Networks= Descriptive statistics for networks: 2/3 of all work done in this area Different from standard statistical descriptions ==Network Char..."2016-02-01T03:22:44Z<p>Created page with "=Statistics and Analysis of Networks= Descriptive statistics for networks: 2/3 of all work done in this area Different from standard statistical descriptions ==Network Char..."</p>
<p><b>New page</b></p><div>=Statistics and Analysis of Networks=<br />
<br />
Descriptive statistics for networks: 2/3 of all work done in this area<br />
<br />
Different from standard statistical descriptions<br />
<br />
==Network Characterization==<br />
<br />
Social dynamics: patterns of edges among vertex triples<br />
<br />
Routes of movement of information: shortest path between vertices<br />
<br />
Importance of vertices: centrality<br />
<br />
Groups/communities via graph partitioning<br />
<br />
==Structural Analysis==<br />
<br />
Social network analysis<br />
<br />
Math and computer science<br />
<br />
Statistical physics<br />
<br />
Many tools:<br />
* characterize vertices and edges<br />
* characterhize network cohesion<br />
<br />
Examples:<br />
* degree distribution<br />
* vertex/edge centrality<br />
* role/positional analysis<br />
<br />
==Vertex Centrality==<br />
<br />
centrality measures can capture vertex importance<br />
<br />
==Coarser Scales==<br />
<br />
Beyond the individual vertices and edges, increasing scales can tell you abou tcohesion of a network<br />
<br />
Cohesion notions:<br />
* clustering<br />
* density<br />
* connectivity<br />
* flow<br />
* partitioning<br />
<br />
==Network sampling==<br />
<br />
List of examples characteristics:<br />
* degree exponent<br />
* average path length<br />
* betweenness<br />
* assortativity<br />
* clustering coefficient<br />
<br />
sampling designs and biases<br />
<br />
==Network inference==<br />
<br />
predict edge wstatus for all potential edges with missing information<br />
<br />
==Further topics==<br />
<br />
Uncertainty in graphs, summary statistics, under noisy conditions<br />
<br />
asymptotics for paramter estimation in network models<br />
<br />
Estimation of degree distribution from sampled data<br />
<br />
bayesian latent factor network perturbation<br />
<br />
multi-attribute networks<br />
<br />
<br />
<br />
[[Category:Scapy]]<br />
[[Category:Networks]]<br />
<br />
{{ScapyFlag}}</div>Admin