Nature vs. Nurture: Analyzing the Interplay of Meme-and Social Graph Node Attributes 6a.009.TUT


Project Start Date: Jul 1, 2017
Research Areas: Analytics, Analytics - Intent Analytics, Analytics - Machine Learning, Analytics - Natural Language Processing, Analytics - Probabilistic Modeling, Data Management, Data Management - Dynamic Data, Visualization, Visualization - Visual Analytics
Funding: Member Funded
Project Tags: , ,

Project Summary

Let us consider a graph of content producing and receiving agents, e.g. a social graph of bloggers. Each node has a set of attributes that define the content that is produced by that specific node. Also consider another set of agents that manifest through the state of the graph nodes at every given time point. One may view this setting from two different viewpoints. First, how do the attributes of graph nodes affect the content that is spreading in the graph and second, how does the content that is spreading affect the graph node attributes. Metaphorically this is a question of nature vs. nurture, i.e. the interplay of internal and external factors to the agent behavior. This question has many applications in the field of behavioral analysis, advertising, and so on.

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