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  4. Study of an epidemic multiple behavior diffusion model in a resource constrained social network
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Study of an epidemic multiple behavior diffusion model in a resource constrained social network

Full metadata

Description

In contemporary society, sustainability and public well-being have been pressing challenges. Some of the important questions are:how can sustainable practices, such as reducing carbon emission, be encouraged? , How can a healthy lifestyle be maintained?Even though individuals are interested, they are unable to adopt these behaviors due to resource constraints. Developing a framework to enable cooperative behavior adoption and to sustain it for a long period of time is a major challenge. As a part of developing this framework, I am focusing on methods to understand behavior diffusion over time. Facilitating behavior diffusion with resource constraints in a large population is qualitatively different from promoting cooperation in small groups. Previous work in social sciences has derived conditions for sustainable cooperative behavior in small homogeneous groups. However, how groups of individuals having resource constraint co-operate over extended periods of time is not well understood, and is the focus of my thesis. I develop models to analyze behavior diffusion over time through the lens of epidemic models with the condition that individuals have resource constraint. I introduce an epidemic model SVRS ( Susceptible-Volatile-Recovered-Susceptible) to accommodate multiple behavior adoption. I investigate the longitudinal effects of behavior diffusion by varying different properties of an individual such as resources,threshold and cost of behavior adoption. I also consider how behavior adoption of an individual varies with her knowledge of global adoption. I evaluate my models on several synthetic topologies like complete regular graph, preferential attachment and small-world and make some interesting observations. Periodic injection of early adopters can help in boosting the spread of behaviors and sustain it for a longer period of time. Also, behavior propagation for the classical epidemic model SIRS (Susceptible-Infected-Recovered-Susceptible) does not continue for an infinite period of time as per conventional wisdom. One interesting future direction is to investigate how behavior adoption is affected when number of individuals in a network changes. The affects on behavior adoption when availability of behavior changes with time can also be examined.

Date Created
2013
Contributors
  • Dey, Anindita (Author)
  • Sundaram, Hari (Thesis advisor)
  • Turaga, Pavan (Committee member)
  • Davulcu, Hasan (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Computer Science
  • Epidemic Model
  • Information Cascade
  • Resource Constrained
  • Social networks
  • Social networks
  • Information behavior
  • Behavioral assessment
Resource Type
Text
Genre
Masters Thesis
Academic theses
Extent
xx, 95 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.20967
Statement of Responsibility
by Anindita Dey
Description Source
Viewed on Apr. 22, 2014
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2013
Note type
thesis
Includes bibliographical references (p. 76-81)
Note type
bibliography
Field of study: Computer science
System Created
  • 2014-01-31 11:36:29
System Modified
  • 2021-08-30 01:36:45
  •     
  • 1 year 5 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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