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John C. Paolillo

Researcher at Indiana University

Publications -  39
Citations -  1925

John C. Paolillo is an academic researcher from Indiana University. The author has contributed to research in topics: Variation (linguistics) & Social network. The author has an hindex of 18, co-authored 37 publications receiving 1866 citations. Previous affiliations of John C. Paolillo include University of Texas at Arlington.

Papers
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Proceedings ArticleDOI

Conversations in the Blogosphere: An Analysis "From the Bottom Up"

TL;DR: The authors empirically investigated the extent to which, and in what patterns, blogs are interconnected, taking as its point of departure randomly-selected blogs and found that A-list blogs are overrepresented and central in the network, although other groupings of blogs are more densely interconnected.
Journal ArticleDOI

Gender and genre variation in weblogs

TL;DR: This study investigates the language/gender/genre relationship in weblogs, a popular new mode of computer-mediated communication (CMC), and problematize the characterization of the stylistic features as gendered, and suggest a need for more fine-grained genre analysis in CMC research.
Journal ArticleDOI

Language variation on Internet Relay Chat: A social network approach

TL;DR: Examination of linguistic variation on an Internet Relay Chat channel with respect to the hypothesis that standard variants tend to be associated with weak social network ties, while vernacular variants are associated with strong network ties reveals a structured relationship between tie strength and several linguistic variants.
Book

Analyzing Linguistic Variation: Statistical Models and Methods

TL;DR: The book explains the theory and practice of using logistic regression for the description of language variation, including a comprehensive discussion of the Varbrul program used in sociolinguistics.
Proceedings ArticleDOI

Structure and Network in the YouTube Core

TL;DR: Results indicate that YouTube producers are strongly linked to others producing similar content, and social interaction on YouTube appears to be structured in ways similar to other social networking sites, but with greater semantic coherence around content.