Culturally Infused Social Network Analysis

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[[Image:Haiti scenario.jpg|thumb|400 px|A Culturally Infused Social Network]]
[[Image:Haiti scenario.jpg|thumb|400 px|A Culturally Infused Social Network]]
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Social networks are used to model people and their relationships. Historically, social network analysis has focused on the structure of these relationships without due consideration of the social context within which they occur. The focus of this project is to research approaches that methodically represent culture within social networks that is transportable from one cultural environment to another.  The goal is a unified framework representing cultural and contextual information along with social relationships that supports reasoining under uncertainty.
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Social networks are used to model people and their relationships. Historically, social network analysis  
 +
 
 +
has focused on the structure of these relationships without due consideration of the social context within  
 +
 
 +
which they occur. The focus of this project is to research approaches that methodically represent culture  
 +
 
 +
within social networks that is transportable from one cultural environment to another.  The goal is a unified  
 +
 
 +
framework representing cultural and contextual information along with social relationships that supports  
 +
 
 +
reasoining under uncertainty.
PARTNERS: Virginia Tech
PARTNERS: Virginia Tech

Revision as of 20:03, 26 September 2011

A Culturally Infused Social Network

Social networks are used to model people and their relationships. Historically, social network analysis

has focused on the structure of these relationships without due consideration of the social context within

which they occur. The focus of this project is to research approaches that methodically represent culture

within social networks that is transportable from one cultural environment to another. The goal is a unified

framework representing cultural and contextual information along with social relationships that supports

reasoining under uncertainty.

PARTNERS: Virginia Tech

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