Collecting Qualitative Data to Enhance Social Network Analysis and Data Mining

Nancy L. Leech, Kathleen M.T. Collins, Anthony J. Onwuegbuzie

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Data: Recorded observations Qualitative data: Nonnumeric data in the form of words Hollstein (2011) delineates six areas where qualitative research is helpful in social network research: (a) exploration of networks, (b) network practices, (c) network orientation and assessments, (d) how networks matter, (e) understanding network dynamics, and (f) validation of network data and field access. According to Leech and Onwuegbuzie (2008), there are four types of qualitative data - specifically, data generated from talk, observations, images (e.g., drawing, photograph, video), and documents. To collect these types of data, the researcher can implement the following strategies: interviews, focus groups, observations, and documents/material as cultural artifacts (Leech and Onwuegbuzie 2008). These qualitative data collection strategies when used individually or combined can increase the effectiveness of social network analysis research….

Original languageEnglish
Title of host publicationEncyclopedia of Social Network Analysis and Mining
Subtitle of host publicationSecond Edition
PublisherSpringer New York
Pages230-240
Number of pages11
ISBN (Electronic)9781493971312
ISBN (Print)9781493971305
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • Description
  • Generating data

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics
  • General Social Sciences

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