Temporal Analysis of Reddit Networks via Role Embeddings
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|Title:||Temporal Analysis of Reddit Networks via Role Embeddings||Authors:||Grayson, Siobhán; Greene, Derek||Permanent link:||http://hdl.handle.net/10197/10886||Date:||20-Aug-2018||Online since:||2019-07-11T11:13:09Z||Abstract:||Inspired by diachronic word analysis from the field of natural language processing, we propose an approach for uncovering temporal insights regarding user roles from social networks using graph embedding methods. Specifically, we apply the role embedding algorithm, struc2vec, to a collection of social networks exhibiting either “loyal” or “vagrant” characteristics derived from the popular online social news aggregation website Reddit. For each subreddit, we extract nine months of data and create network role embeddings on consecutive time windows. We are then able to compare and contrast how user roles change over time by aligning the resulting temporal embeddings spaces. In particular, we analyse temporal role embeddings from an individual and a community-level perspective for both loyal and vagrant communities present on Reddit.||Funding Details:||Science Foundation Ireland||metadata.dc.description.othersponsorship:||Insight Research Centre||Type of material:||Conference Publication||Keywords:||Temporal networks; Diachronic role embeddings; Reddit; Embedding alignment||DOI:||10.475/123_4||Other versions:||https://www.mlgworkshop.org/2018/||Language:||en||Status of Item:||Peer reviewed||Conference Details:||MLG’18: 14th International Workshop on Mining and Learning with Graphs,London, England UK, 20 August 2018|
|Appears in Collections:||Insight Research Collection|
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