TALKING TO ME_ CREATING NETWORKS FROM ONLINE COMMUNITY LOGS.pdf (429.33 kB)
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Talking to me? Creating networks from online community logs

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conference contribution
posted on 03.09.2020 by RW Helms, W Ai, Jocelyn Cranefield
Online communities offer many potential sources of value to individuals and organisations. However, the effectiveness of online communities in delivering benefits such as knowledge sharing depends on the network of social relations within a community. Research in this area aims to understand and optimize such networks. Researchers in this area employ diverse network creation methods, with little focus on the selection process, the fit of the selected method, or its relative accuracy. In this study we evaluate and compare the performance of four network creation methods. First we review the literature to identify four network creation methods (algorithms) and their underlying assumptions. Using several data sets from an online community we test and compare the accuracy of each method against a baseline ('actual') network determined by content analysis. We use visual inspection, network correlation analysis and sensitivity analysis to highlight similarities and differences between the methods, and find some differences significant enough to impact study results. Based on our observations we argue for more careful selection of network creation methods. We propose two key guidelines for research into social networks that uses unstructured data from online communities. The study contributes to the rigour of methodological decisions underpinning research in this area.

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Preferred citation

Helms, R. W., Ai, W. & Cranefield, J. (2016, January). Talking to me? Creating networks from online community logs. In 24th European Conference on Information Systems, ECIS 2016.

Title of proceedings

24th European Conference on Information Systems, ECIS 2016

Publication or Presentation Year

01/01/2016

Publication status

Published

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