Words and networks: How reliable are network data constructed from text data?

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Social network data as well as the information produced or shared by network participants are prominent sources for studying reputation and authority in social media. Research studies on this topic often start with one or more network datasets and bring relevant substantive questions about socio-technical concepts such as the evolution of credibility to the data. This chapter deals with the reliability of network data itself and aims to shed some light on the following question: How reliable or accurate are network data depending on the data construction method for cases where text data are used as an input to this process? I provide a concise overview on some of the most common methods for constructing network data from text data sources, report on our findings from applying these methods to three corpora from different domains and genres, and derive implications and suggestions for theoretical and practical work.

Original languageEnglish (US)
Title of host publicationRoles, Trust, and Reputation in Social Media Knowledge Markets
Subtitle of host publicationTheory and Methods
PublisherSpringer International Publishing
Pages81-89
Number of pages9
ISBN (Electronic)9783319054674
ISBN (Print)9783319054667
DOIs
StatePublished - Jan 1 2015

Keywords

  • Approach comparison
  • Metadata
  • Natural language processing
  • Network construction
  • Social network analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)
  • Social Sciences(all)

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