عنوان

High Performance Computational Social Science Modeling of Networked Populations

Number

TL49719

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

High Performance Computational Social Science Modeling of Networked Populations

General Material Designation

[Thesis]

First Statement of Responsibility

Christopher James Kuhlman

Name of Publisher, Distributor, etc.

Virginia Polytechnic Institute and State University

Date of Publication, Distribution, etc.

2015

Specific Material Designation and Extent of Item

276

Text of Note

Place of publication: United States, Ann Arbor; ISBN=978-0-355-34105-8

Dissertation or thesis details and type of degree

Ph.D.

Body granting the degree

Virginia Polytechnic Institute and State University

Text preceding or following the note

2015

Text of Note

Dynamics of social processes in populations, such as the spread of emotions, influence, opinions, and mass movements (often referred to individually and collectively as contagions), are increasingly studied because of their economic, social, and political impacts. Moreover, multiple contagions may interact and hence studying their simultaneous evolution is important. Within the context of social media, large datasets involving many tens of millions of people are leading to new insights into human behavior, and these datasets continue to grow in size. Through social media, contagions can readily cross national boundaries, as evidenced by the 2011 Arab Spring. These and other observations guide our work. Our goal is to study contagion processes at scale with an approach that permits intricate descriptions of interactions among members of a population. Our contributions are a modeling environment to perform these computations and a set of approaches to predict contagion spread size and to block the spread of contagions. Since we represent populations as networks, we also provide insights into network structure effects, and present and analyze a new model of contagion dynamics that represents a person's behavior in repeatedly joining and withdrawing from collective action. We study variants of problems for different classes of social contagions, including those known as simple and complex contagions.

Computer science

Subject Term

Applied sciences;Graph Dynamical Systems;Modeling and Simulation;Networks;Rapid Developments

Lemos, Diogo Bernardo

Virginia Polytechnic Institute and State University

Call Number

1989944551; 10668558

Electronic name

p

[Thesis]

276903

a

Y