Detecting Covert Networks in Multilingual Groups: Evidence within a Virtual World

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2016-09-01
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Triplett, Janea
Harrison, Andrew
Mennecke, Brian
Mirsadikov, Akmal
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Supply Chain Management
Supply chain management is an integrated program of study concerned with the efficient flow of materials, products, and information within and among organizations. It involves the integration of business processes across organizations, from material sources and suppliers through manufacturing, and processing to the final customer. The program provides you with the core knowledge related to a wide variety of supply chain activities, including demand planning, purchasing, transportation management, warehouse management, inventory control, material handling, product and service support, information technology, and strategic supply chain management.
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This paper introduces an approach for the examination and organization of unstructured text to identify relationships between networks of individuals. This approach uses discourse analysis to identify information providers and recipients and determines the structure of covert organizations irrespective of the language that facilitate conversations between members. Then, this method applies social network analytics to determine the arrangement of a covert organization without any a priori knowledge of the network structure. This approach is tested and validated using communication data collected in a virtual world setting. Our analysis indicates that the proposed framework successfully detected the covert structure of three information networks, and their cliques, within an online gaming community during a simulation of a large-scale event.

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This article is from Journal of Virtual Worlds Research 9 (2016), doi:10.4101/jvwr.v9i2.7213. Posted with permission.

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Fri Jan 01 00:00:00 UTC 2016
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