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Identifying the business and social networks in the domain of production by merging the data from heterogeneous internet sources
ID Kozjek, Dominik (Author), ID Vrabič, Rok (Author), ID Eržen, Gregor (Author), ID Butala, Peter (Author)

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Abstract
People, companies, and institutions form networks as part of their technical, economic, and social activities. As a consequence, these networks have an influence on how companies conduct business. Recently, the Internet, professional, and scientific social networks have contributed to the ease and simplicity of the network forming process and the public availability of the corresponding data. We investigate whether useful information about the relationships between individuals, companies, and institutions for the domain of production can be extracted from publicly available, structured and unstructured data that is merged from various Internet sources. We demonstrate that relevant information about the structures of these networks can be obtained by merging publicly available data using a combination of advanced computational methods including web crawling, machine learning, and creating mash-ups of publicly available services. The feasibility and the applicability of the approach are shown for a case in the automotive domain. A potential use case of the resulting data is demonstrated, showing how the approach can be used to find specific skills and expertise for a scientific community consisting of people from industry and academia. The proposed approach can be used for the modelling and analysis of various forms of collaboration between and within businesses. As a tool, it could be used for the purposes of strategic networking, to facilitate the creation of project consortia, to identify competitors and other stakeholders in a certain domain, to pinpoint communication channels, to search for specific expertise, or to identify organisational and social structures within organisations.

Language:English
Keywords:production, network, network analysis, data analytics, skill profiling
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Year:2018
Number of pages:Str. 181-191
Numbering:Vol. 200
PID:20.500.12556/RUL-101582 This link opens in a new window
UDC:004.451.5(045)
ISSN on article:0925-5273
DOI:10.1016/j.ijpe.2018.03.026 This link opens in a new window
COBISS.SI-ID:15977243 This link opens in a new window
Publication date in RUL:18.06.2018
Views:820
Downloads:730
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Secondary language

Language:Slovenian
Keywords:proizvodnja, mreže, analiza mrež, analitika podatkov, profiliranje kompetenc

Projects

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:P2-0270
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

Funder:Drugi - Drug financer ali več financerjev
Funding programme:Ministry of Higher Education, Science and Technology of the Republic of Slovenia
Project number:1000-15-0510

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