Find results with:

Add another field

Search by date

to

Searching collections:

Dartmouth Dissertations

Add or remove collections

Home Dartmouth Dissertations Page 1

Reference URL

To link to the entire object, paste this link in email, IM or document

To embed the entire object, paste this HTML in website

To link to this page, paste this link in email, IM or document

To embed this page, paste this HTML in website

Dynamic social network analysis.

you wish to report:

Your comment:

Your Name:

Submit

Cancel

...

Back to top

Powered by CONTENTdm®

Call No.	Ph.D. 2006
Author	Chung, Wayne, 1979-
Title	Dynamic social network analysis.
Date	2006
Abstract	Detecting the significance of relationships between people is a complicated and difficult task. This is especially true when these relationships are intermixed with hundreds of different mundane and ordinary interactions that are simply background noise. The identification and study of these relationships is called Social Network Analysis (SNA). SNA has many uses in academic, business, regulatory, and law enforcement applications. Sociologists have used SNA to identify and explain human and group behaviors. Economists have used SNA to streamline businesses and gain market advantage. Regulatory and law enforcement agencies use SNA to ensure various rules are being followed and to help identify key members of organized criminal activity. Unfortunately SNA of complex and unknown relationships is very difficult and can only be performed off-line. Meaning, the data is collected over a period of time and then can be analyzed using various graph theoretic techniques. These techniques often remove all of the dynamic attributes of the relationships and often only discover the dominant and overt activity. In addition all temporal attributes of the relationships are lost in SNA since the data is typically flattened; removing any temporal dimension. By incorporating dynamic attributes such as temporal ordering, local functional role analysis, and aggregate network activity levels, we feel Dynamic Social Network Analysis (DSNA) can be solved as a process detection problem. Using the Process Query System (PQS) technology as the basis, a novel approach will be generated for on-line DSNA. Due to the complex nature of DSNA, several modifications will be made to allow PQS to both map the social network as well as identify the primitive processes. In addition PQS will be modified to use abstract models that are not specific to the data stream, but of DSNA processes in general. This tool will provide various means for temporally correlating group activity, basic functional role identification as well as generating basic statistics of the primitive processes that are occurring. Allowing for a real-time approach to DSNA of large networks, that can supplement traditional analysis techniques.
Description	ix, 149 leaves : col. ill. 28 cm.
Format	application/pdf
Advisor	George Cybenko.
Subject	Social networks -- Mathematical models. Social networks -- Computer simulation. Dynamics. Social sciences -- Network analysis -- Methodology.
College	Thayer School of Engineering.
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Copyright	All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means without permission in writing from the author.
DOI	http://dx.doi.org/10.1349/ddlp.121

Title	Page 1
Format	application/pdf
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Full Text	DYNAMIC SOCIAL NETWORK ANALYSIS A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Wayne Chung Thayer School of Engineering Dartmouth College Hanover, New Hampshire 03755, U.S.A. August 2006 Examine Committee: Chair: George Cybenko, PhD. Reza Olfati-Saber, PhD. Eugene Santos, PhD. Paul Thompson, PhD. Charles Barlowe Dean of Graduate Studies Wayne Chung c 2006 Trustees of Dartmouth College

	All
	Pages Enter page numbers or page ranges separated by commas. For example: 1,3,5-12

Find results with:

Searching collections:

Home Dartmouth Dissertations Page 1

Dynamic social network analysis.

Page 1

Object Description

Description

Dynamic social network analysis.

Dynamic social network analysis.