Opinion formation models in static and dynamic social networks
Authors
Singh, Pramesh
ORCID
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Other Contributors
Korniss, Gyorgy
Szymanśki, Bolesław
Lim, Chjan C., 1959-
Nayak, Saroj K.
Szymanśki, Bolesław
Lim, Chjan C., 1959-
Nayak, Saroj K.
Issue Date
2014-08
Keywords
Physics
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
In the first model that we study on a static network, a node adopts a particular state (opinion) if a threshold fraction of its neighbors are already in that state. We introduce a few initiator nodes which are in state ‘1’ in a population where every node is in state ‘0’. Thus, opinion ‘1’ spreads through the population until no further influence is possible. Size of the spread is greatly affected by how these initiator nodes are selected. We find that there exists a critical fraction of initiators pc that is needed to trigger global cascades for a given threshold φ. We also study heuristic strategies for selecting a set of initiator nodes in order to maximize the cascade size. The structural properties of networks also play an important role in the spreading process. We study how the dynamics is affected by changing the clustering in a network. It turns out that local clustering is helpful in spreading.
Description
August 2014
School of Science
School of Science
Department
Dept. of Physics, Applied Physics, and Astronomy
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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