SOCIAL NETWORK INFLUENCE ON RIDESHARING, DISASTER COMMUNICATIONS, AND COMMUNITY INTERACTIONS

The complex topology of real networks allows network agents to change their functional behavior. Conceptual and methodological developments in network analysis have furthered our understanding of the effects of interpersonal environment on normative social influence and social engagement. Social influence occurs when network agents change behavior being influenced by others in the social network and this takes place in a multitude of varying disciplines. The overarching goal of this thesis is to provide a holistic understanding and develop novel techniques to explore how individuals are socially influenced, both on-line and off-line, while making shared-trips, communicating risk during extreme weather, and interacting in respective communities. The notion of influence is captured by quantifying the network effects on such decision-making and characterizing how information is exchanged between network agents. The methodologies and findings presented in this thesis will benefit different stakeholders and practitioners to determine and implement targeted policies for various user groups in regular, special, and extreme events based on their social network characteristics, properties, activities, and interactions.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Year

2016

Author dc:creator

• Sadri, Arif Mohaimin

Contributors dc:contributor

• Satish V Ukkusuri
• Daniel P Aldrich
• Konstantina Gkritza
• Seungyoon Lee
• Sharon L Christ

• Community Interactions
• Disaster Communications
• Ridesharing
• Social Influence
• Social Media
• Social Networks

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1230

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2446