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3 selected articles

CiteULike: Narcissism and Social Networking Web Sites

The present research examined how narcissism is manifested on a social networking Web site (i.e., Facebook.com). Narcissistic personality self-reports were collected from social networking Web page owners. Then their Web pages were coded for both objective and subjective content features. Finally, strangers viewed the Web pages and rated their...

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Related topics : narcissism and social networking web sites / social networking web sites / social web network / social research network sites / social community network sites

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

CiteULike: Dynamic Social Network Analysis using Latent ...

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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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