Modeling the RIT Facebook Social Network
نویسندگان
چکیده
The friendship information of Rochester Institute of Technology students was collected through a custom Facebook survey. A social network was then constructed using that friendship data. The RIT Facebook network will provide a target network to which randomly simulated networks will be calibrated in order to repeatedly conduct Monte Carlo experiments on rumor propagation through a social network. Properties of the RIT Facebook network were analyzed with a specific focus on assortative mixing patterns of degree and similarities to the neuroscience co-authorship network studied by Barabàsi. Community structure was found through the Newman modularity maximization algorithm. The flow over the RIT Facebook network of the GBN-Dialogue model of rumor transmission was explored. The RIT Facebook network was found to be best replicated by an evolving neighborhood model.
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