Culturally Infused Social Network Analysis

From Distributed Information and Intelligence Analysis Group

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Social networks are used to model people and their relationships. While social network analysis research deals with a conglomeration of issues, they can be broken down into two major thrust areas: social network construction and social network analyses. There is a natural feedback between these two since analysis is dependent on the data used to construct the network yet can also help pinpoint data which is relevant and potentially incomplete or completely missing. The goal of this project is to research approaches that methodically represent culture within social networks that is transportable from one cultural environment to another.
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[[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.
PARTNERS: Virginia Tech
PARTNERS: Virginia Tech

Current revision as of 20:39, 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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