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DISENTANGLING THE NETWORK:
UNDERSTANDING THE INTERPLAY OF TOPOLOGY AND DYNAMICS IN
NETWORK ANALYSIS
by
Rumi Ghosh
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
August 2012
Copyright 2012 Rumi Ghosh
Object Description
| Title | Disentangling the network: understanding the interplay of topology and dynamics in network analysis |
| Author | Ghosh, Rumi |
| Author email | rumig@usc.edu;rumi.ghosh@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2012-04-23 |
| Date submitted | 2012-07-16 |
| Date approved | 2012-07-17 |
| Restricted until | 2012-07-17 |
| Date published | 2012-07-17 |
| Advisor (committee chair) | Lerman, Kristina |
| Advisor (committee member) |
Teng, Shang-Hua Liu, Yan Monge, Peter |
| Abstract | Understanding the complex interplay of topology and dynamics in complex networks is necessary to answer a variety of questions, including who are the important people in a social network, what are the authoritative pages on the world wide web, who to quarantine to minimize the spread of an epidemic, what are the functional modules in a protein-protein network, and even how the world trade network affects the robustness of the global economy. To address these questions, we build predictive network models that take dynamic interactions into account. Our mathematical models are grounded empirically on data from online social networks on sites such as Digg, Twitter and Facebook. ❧ We claim that network structure is the product of both topology and dynamics. We propose a generalized interaction model that describes a range of dynamic processes, or interactions, taking place in complex networks, from random walks to epidemic spread. Traditionally, network analysis methods, including those used to identify central nodes and communities in the network, either ignore or make implicit assumptions about network interactions. We show, however, that different interactions lead to different views of network structure, and empirically verify this insight using real-world data from online social networks. ❧ A wide spectrum of heterogeneous activity spanning from information diffusion to spamming has been observed in online social networks. We have designed a simple, scalable and robust, information theoretic framework to automatically classify different types of activities. Of these, we are especially interested in information spread. We have developed a mathematical framework to quantitatively measure how information spreads on networks, and showed that standard epidemic models fail to describe the spread of information in real-world networks. ❧ Our work is a step towards the ultimate goal of building theoretically justified, empirically grounded network models that improve the prediction of future behavior, aid information discovery and outbreak control, and help in designing network policies for our connected world. |
| Keyword | centrality; communities; information diffusion; network analysis; network dynamics; online social networks |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Rights | Ghosh, Rumi |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Archival file | uscthesesreloadpub_Volume4/etd-GhoshRumi-959.pdf |
Description
| Title | Page 1 |
| Full text | DISENTANGLING THE NETWORK: UNDERSTANDING THE INTERPLAY OF TOPOLOGY AND DYNAMICS IN NETWORK ANALYSIS by Rumi Ghosh A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) August 2012 Copyright 2012 Rumi Ghosh |
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