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Activity Number: 412 - Data Science and Machine Learning Topics
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #307155
Title: Identifying Influential Posters on Reddit Through Network Analysis
Author(s): Jonathan Lane* and Aaron Sachs
Companies: Activision Publishing and Harvard University
Keywords: Network Analysis; Social Media; Node Importance

Online forums are communities where people from around the world are able to interact and discuss various topics. Reddit is one such site, containing thousands of forums on a wide range of subjects, such as politics, news, and entertainment. Because of the structure of Reddit, where the conversations consist of threaded replies, it is possible to view each of these forums as a network, with users and their interactions defining the nodes and edges. Given such a network, we apply network analysis techniques, with modifications to incorporate available metadata, to identify influential users in the network. This allows us to better understand the community and see who is driving the conversation. In this talk, we present our methodology and provide an example on real-world data.

Authors who are presenting talks have a * after their name.

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