Selected articles for topic: dynamic social network analysis using latent space models
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Analysis of the Formation of the Structure of Social ...
Analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks
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University of Illinois, Urbana-Champaign, USA
Address for correspondence: Yuguo Chen, Department of Statistics, University of Illinois at Urbana-Champaign, 725 South Wright Street, Champaign, IL 61820,...
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http://onlinelibrary.wiley.com
Related topics : dynamic social network analysis using latent space models / dynamic model of social network formation / structure of social networks / analysis of social network data / social network analysis research
Dynamic Social Network Analysis Using Latent Space Model ...
2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing > 620 - 625
Abstract
Social network can be generally defined as a group of individuals who are connected by a set of relationships. A key characteristic of social networks is their continual change. However, the bulk of the analysis methods developed and popularized in the field of computer were static in that all information about the time that social interactions...
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http://yadda.icm.edu.pl
Related topics : dynamic social network analysis using latent space models / social network analysis conference 2009 / social network analysis papers / international network of social network analysis / international network of social analysis
CiteULike: Dynamic social network analysis using latent ...
This paper explores two aspects of social network modeling. First, we generalize a successful static model of relationships into a dynamic model that accounts for friendships drifting over time. Second, we show how to make it tractable to learn such models from data, even as the number of entities n gets large. The generalized model associates each entity with a point in p-dimensional Euclidean latent space. The points can move as time progresses but...
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Related topics : dynamic social network analysis using latent space models / social network analysis papers / social network papers / social networking aspects / social network aspects
Dynamic Social Network Analysis Using Latent Space Model ...
2nd Xiaolin Zheng
Abstract
Social network can be generally defined as a group of individuals who are connected by a set of relationships. A key characteristic of social networks is their continual change. However, the bulk of the analysis methods developed and popularized in the field of computer were static in that all information about the time that social interactions take place is discarded....
Date: 2016-03-09 04:29:54
Website:
https://www.researchgate.net
Related topics : dynamic social network analysis using latent space models / clustering algorithms for social network analysis / social network analysis cluster / social network analysis papers / development of social network analysis
Dynamic social network analysis using latent space models ...
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social networks, as well as paper citation networks. Also, communities may evolve over time, due to changes to individuals' roles and s ..."
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We discover communities from social...
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http://citeseerx.ist.psu.edu
Related topics : dynamic social network analysis using latent space models / social and networking community / social networking community / social community network / modeling structural evolution of online social networks
CiteULike: Dynamic Social Network Analysis using Latent ...
� Notes for this article (2 public)
Added 2006-06-16 15:38:54 - [public]
extends Multi-dimensional scaling (raferty) by time aspects.
Multi-dimensional scaling allows to embed proximity data into an euclidean space. Raferty's approach links are more likely, if entities are placed next to each other.
This paper includes a temporal apect, making large jumps in the euclidean space over time unlikely. This leads to a decreased probability for linkage over time for distance located entities.
For the mining of social networks, they use a distance measure...
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http://www.citeulike.org
Related topics : dynamic social network analysis using latent space models / analysis of social networking / analysis social networks / social network analysis papers / analysis of social network data
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