Towards a systematic description of the field using keywords analysis : main topics in social networks

Maltseva, Daria; Batagelj, Vladimir

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Title:	Towards a systematic description of the field using keywords analysis : main topics in social networks
Authors:	ID Maltseva, Daria (Author) ID Batagelj, Vladimir (Author)
Files:	https://link.springer.com/article/10.1007/s11192-020-03365-0
Language:	English
Work type:	Unknown
Typology:	1.01 - Original Scientific Article
Organization:	IAM - Andrej Marušič Institute
Abstract:	This paper presents the results of the analysis of keywords used in Social Network Analysis (SNA) articles included in the WoS database and main SNA journals, from 1970 to 2018. 32409 keywords were obtained from 70792 works with complete descriptions. We provide a list of the most used keywords and show subgroups of keywords which are connected to each other. To go deeper, we place the keywords into the contexts of selected groups of authors and journals. We use temporal analysis to get an insight into some keyword usage. The distributions of the number of keyword types and tokens over time show fast growth starting from 2010s, which is the result of the growth in the number of articles on SNA topics and applications of SNA in various scientific fields. Even though the most frequently used keywords are trivial or general, the approaches used for the normalization of network link weights allow us to extract keywords representing substantive topics and methodological issues in SNA.
Keywords:	social network analysis, bibliographic networks, temporal network analysis, keyword co-occurrence networks, fractional approach, TF-IDF index
Year of publishing:	2020
Number of pages:	str. 1-26
Numbering:	#Vol. #, #iss. #
PID:	20.500.12556/RUP-12426
UDC:	316.472.4:004
ISSN on article:	0138-9130
DOI:	10.1007/s11192-020-03365-0
COBISS.SI-ID:	1541909956
Publication date in RUP:	11.02.2020
Views:	2921
Downloads:	111
Metadata:
:	MALTSEVA, Daria and BATAGELJ, Vladimir, 2020, Towards a systematic description of the field using keywords analysis : main topics in social networks. Scientometrics [online]. 2020. P. 1–26. [Accessed 6 April 2025]. DOI 10.1007/s11192-020-03365-0. Retrieved from: https://link.springer.com/article/10.1007/s11192-020-03365-0 Copy citation

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Record is a part of a journal

Title:	Scientometrics
Shortened title:	Scientometrics
Publisher:	Springer, Akadémiai Kiadó
ISSN:	0138-9130
COBISS.SI-ID:	1252362

Secondary language

Language:	Slovenian
Title:	Poskus opisa področja z analizo ključnih besed: glavne teme v analizi omrežij
Abstract:	Predstavljeni so izidi analize ključnih besed uporabljenih v člankih iz analize družbenih omrežij iz zbirke WoS v letih 1970-2018. V 70792 delih (zadetkih pri iskanju) je 32409 različnih ključnih besed. Določili smo najpogosteje uporabljene ključne besede in skupine močno povezanih ključnih besed. Za podrobnejši vpogled, smo raziskali še najpomembnejše ključne besede za izbrane skupine avtorjev in revij. Ogledali smo si tudi rabo izbranih ključnih besed skozi čas. Časovna porazdelitev števila ključnih besed kaže hitro rast od leta 2010, ki je posledica povečanega zanimanja za analizo omrežij in njeno uporabo v vse več področjih. Čeprav so najpogostejše ključne besede pričakovane pa uporaba indeksa TF-IDF pokaže ključne besede značilne za izbrane teme in pristope k analizi omrežij.
Keywords:	analiza družbenih omrežij, bibliografska omrežja, analiza časovnih omrežij, omrežja sopojavljanja ključnih besed, deležni pristop, indeks TF-IDF

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