Journal Article

Communities of co-commenting in the Russian LiveJournal and their topical coherence

Koltsova, Olessia, Nikolenko, Sergey, Koltcov, Sergei

2016

Overview

Purpose – The paper addresses the problem of what drives the formation of latent discussion communities, if any, in the blogosphere: topical composition of posts or their authorship? The purpose of this paper is to contribute to the knowledge about structure of co-commenting. Design/methodology/approach – The research is based on a dataset of 17,386 full text posts written by top 2,000 LiveJournal bloggers and over 520,000 comments that result in about 4.5 million edges in the network of co-commenting, where posts are vertices. The Louvain algorithm is used to detect communities of co-commenting. Cosine similarity and topic modeling based on latent Dirichlet allocation are applied to study topical coherence within these communities. Findings – Bloggers unite into moderately manifest communities by commenting roughly the same sets of posts. The graph of co-commenting is sparse and connected by a minority of active non-top commenters. Communities are centered mainly around blog authors as opinion leaders and, to a lesser extent, around a shared topic or topics. Research limitations/implications – The research has to be replicated on other datasets with more thorough hand coding to ensure the reliability of results and to reveal average proportions of topic-centered communities. Practical implications – Knowledge about factors around which co-commenting communities emerge, in particular clustered opinion leaders that often attract such communities, can be used by policy makers in marketing and/or political campaigning when individual leadership is not enough or not applicable. Originality/value – The research contributes to the social studies of online communities. It is the first study of communities based on co-commenting that combines examination of the content of commented posts and their topics.

• Publisher: Emerald Group Publishing Limited
• Subject: Algorithms / Audiences / Authoring / Authorship / Averages / Blogs / Coherence / Comments / Communities / Community / Community Relations / Definitions / Dirichlet problem / Electronic Publishing / Graph theory / Graphs / Information & communications technology / Information & knowledge management / Internet / Leadership / Marketing / Network Analysis / Networks / Opinion leaders / Policies / Policy making / Political advertising / Political campaigns / Political Influences / Political Issues / Political leadership / Public interest / Reliability / Research design / Research methodology / Russian language / Similarity / Social network analysis / Social networks / Social Problems / Social studies / Sociology / Topics / Web Sites