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

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:production, network, network analysis, data analytics, skill profiling
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2018
Št. strani:str. 181-191
Številčenje:Vol. 200
UDK:004.451.5(045)
ISSN pri članku:0925-5273
DOI:10.1016/j.ijpe.2018.03.026 Povezava se odpre v novem oknu
COBISS.SI-ID:15977243 Povezava se odpre v novem oknu
Število ogledov:318
Število prenosov:222
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
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Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Številka projekta:P2-0270
Naslov:Proizvodni sistemi, laserske tehnologije in spajanje materialov

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Ministry of Higher Education, Science and Technology of the Republic of Slovenia
Številka projekta:1000-15-0510
Naslov:

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:proizvodnja, mreže, analiza mrež, analitika podatkov, profiliranje kompetenc

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