Information networks to derive value from social media

Pankhuri Malhotra, Sid Bhattacharyya, Keran Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The rise in electronic interactions has made information networks ubiquitous. Correspondingly, research across multiple domains has begun to acknowledge the social and economic value of these networks for business decision-making. In this paper, the authors introduce a new type of information artifact, implicit brand networks, for obtaining close to real-time estimates of within-industry competition and across-industry complementarities. Statistical examination of the tacit links in the network, using Exponential Random Graph Models from network theory, reveals a mix of network and brand level characteristics responsible for the observed network structure. The paper concludes by discussing the practical applications of the information network, particularly for the automatic extraction of category-specific brand ratings. As information pertaining to category-specific ratings (e.g. sports, tech, luxury etc.) is rarely found in online users' comments, the brand network's ability to automatically reveal such insights, with minimal a-priori assumptions, is a significant contribution of this study.

Original languageEnglish (US)
Title of host publication26th Americas Conference on Information Systems, AMCIS 2020
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632546
StatePublished - 2020
Event26th Americas Conference on Information Systems, AMCIS 2020 - Salt Lake City, Virtual, United States
Duration: Aug 10 2020Aug 14 2020

Publication series

Name26th Americas Conference on Information Systems, AMCIS 2020


Conference26th Americas Conference on Information Systems, AMCIS 2020
Country/TerritoryUnited States
CitySalt Lake City, Virtual

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications
  • Library and Information Sciences

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