Collecting network data from documents to reach non-participatory populations

Daniel Tischer*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

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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