Collecting network data from documents to reach non-participatory populations

Daniel Tischer*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

Abstract

Collecting social network data is challenging, not least because conventional approaches rely on human participation. However, there are instances where access to research subjects is restricted or non-existent, especially in the high-stakes commercial world. This paper outlines the collection of network data from a relatively obscure financial document – the offering circular. I consider the implications of dealing with a non-participatory population and data that is not produced for social network research. In exploring the process of translating data into social network data I highlight the importance of retaining context and qualitative descriptions in the data. I also consider how different coding strategies impact the network. Finally, I discuss the triangulation, data anonymity and potential ethical-legal implications of collecting data from documents.
Original languageEnglish
Number of pages10
JournalSocial Networks
Early online date24 Sep 2020
DOIs
Publication statusE-pub ahead of print - 24 Sep 2020

Structured keywords

  • MGMT theme Global Political Economy
  • MGMT International Business Management and Strategy

Keywords

  • networks
  • career networks
  • Documents
  • Data collection

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