Firm business networks

Chien-Hung Chien, Armin Haller, Anton Westveld

    Research output: Contribution to conferencePaper

    Abstract

    This paper describes an ontology-based approach to integrate datasets from Intellectual Property Australia and the Australian Securities Exchange to study firms in business networks. We combine different indicator variables with SPARQL queries for research to understand the characteristics of different firms in multiple business networks. We use an exponential random graph models approach to describe factors that help firms form business networks. In doing so we find evidence of homophily for large firms in patents and trademarks business networks. They are more likely to form business networks in comparison with small & medium firms. For firms in patents and shared director and trademarks and directors business networks, firm size does not play an important factor in the formation of business networks and there is limited evidence of homophily.
    Original languageEnglish
    Pages-
    Publication statusPublished - 2018
    Event2018 Joint International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics, CKGSemStats 2018 - Monterey, United States
    Duration: 8 Oct 2018 → …

    Conference

    Conference2018 Joint International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics, CKGSemStats 2018
    Country/TerritoryUnited States
    CityMonterey
    Period8/10/18 → …

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