NetIntel: A Database for Manipulation of Rich Social Network Data

Abstract

There is a pressing need to automatically collect data on social systems as rich network data, analyze such systems to find hidden relations and groups, prune the datasets to locate regions of interest, locate key actors, characterize the structure, locate points of vulnerability, and simulate change in a system as it evolves naturally or in response to strategic interventions over time or under certain impacts, including modification of data. To meet this challenge, we need to develop a new mechanism for storing and manipulating social structure data. Social structure data will be stored in a relational database capable of manipulating large quantities of data. The database is structured to preserve the character and integrity of the data in an extensible manner, and is extended with a number of functions specifically designed for manipulating graph-based data.

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Document Details

Document Type
Technical Report
Publication Date
Mar 03, 2005
Accession Number
ADA456057

Entities

People

  • Jana Diesner
  • Kathleen Carley
  • Maksim Tsvetovat

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Computer Programs
  • Computer Science
  • Computers
  • Data Integration
  • Data Mining
  • Database Management Systems
  • Databases
  • Information Operations
  • Language
  • New York
  • Operating Systems
  • Relational Databases
  • Social Networks
  • Standards
  • Terrorists
  • United States
  • User Interface

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Database Systems and Applications
  • Distributed Systems and Data Platform Development