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Second programming assignment for Social Computing (CSC 555) at NC State, Fall '16. I will try to prove/disprove one hypothesis on a social network graph using Neo4j and calculate certain social network metrics.
By using Gephi’s modularity class feature, top 3 communities in subscription model were identified. No gender-related communities were detected. Based on centralities and hub measures there was found a list of users with efficient way transmitting information in the network, these top 100 users are recommended to target.
Creating & analyzing a social network through graphs, using classical algorithms for analyzing relationships, communication patterns, influence, and communities within the social network.
A simple unweighted undirected social network graph. It allows users to add and remove nodes and edges, view the social network of a person, and visualize the social network using Graphviz.
This project aims to unite similar Twitter communities by identifying shared interests through Unsupervised Learning Techniques on Graph and Tabular Data.
An analysis on the cascading behavior between Taiwanese Instagram food bloggers, based on Asynchronous Independent Cascade Model (AsIC) and Influence Maximization Model.