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arXiv · 1812.02143

The Spread of Voting Attitudes in Social Networks

Jordan Barrett·Christopher Duffy·Richard Nowakowski
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Abstract

The Shapley-Shubik power index is a measure of each voters power in the passage or failure of a vote. We extend this measure to graphs and consider a discrete-time process in which voters may change their vote based on the outcome of the previous vote. We use this model to study how voter influence can spread through a network. We find conditions under which a vanishingly small portion of consenting voters can change the votes of the entirety of the network. For a particular family of graphs, this process can be modelled using cellular automata. In particular, we find a connection between this process and the well-studied cellular automata, Rule 90. We use this connection to show that such processes can exhibit arbitrarily-long periods.

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Jordan Barrett, Christopher Duffy, Richard Nowakowski. 2018-12-05. The Spread of Voting Attitudes in Social Networks. https://arxiv.org/abs/1812.02143

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