Sociolect-based community detection


Conference Paper

'Sociolects' are specialized vocabularies used by social subgroups defined by common interests or origins. We applied methods to retrieve large quantities of Twitter data based on expert-identified sociolects and then applied and developed network-analysis methods to relate sociolect use to network (sub-) structure. We show that novel methods including consideration of node populations, as well as edge counts, provide substantially enhanced performance compared to standard assortativity. We explain these methods, show their utility in analyzing large corpora of social media data, and d iscuss their further extensions and potential applications. © 2013 IEEE.

Full Text

Duke Authors

Cited Authors

  • Reynolds, WN; Salter, WJ; Farber, RM; Corley, C; Dowling, CP; Beeman, WO; Smith-Lovin, L; Choi, JN

Published Date

  • September 9, 2013

Published In

  • Ieee Isi 2013 2013 Ieee International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision Making in Security Informatics

Start / End Page

  • 221 - 226

International Standard Book Number 13 (ISBN-13)

  • 9781467362115

Digital Object Identifier (DOI)

  • 10.1109/ISI.2013.6578823

Citation Source

  • Scopus