Abstract
Network Science has become a flourishing interest in the last decades as we witness the Big Data explosion in many fields including, social science, biology and engineering. Technology Intelligence aims at surveying the prolific production of information and recent studies have identified their multiplex nature as a very important aspect to understand various aspects of information. However, the interplay between multiplexity and controllability of these networks is challenging. This paper aims to describe a flexible framework for a recommendation system, based on multiplex networks in the context of technological development. We detail the important characteristics of the multiplex network that is of interest to us, and show the advantages of this approach over the matrix approaches common in the literature.
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Yuehgoh, F., Djebali, S., Travers, N. (2022). A Multiplex Network Framework Based Recommendation Systems for Technology Intelligence. In: Chiusano, S., et al. New Trends in Database and Information Systems. ADBIS 2022. Communications in Computer and Information Science, vol 1652. Springer, Cham. https://doi.org/10.1007/978-3-031-15743-1_32
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DOI: https://doi.org/10.1007/978-3-031-15743-1_32
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