InfTars - Információs Társadalom
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Happy birthday, InfTars!

For the 20th birthday of our journal, Fanni Máté, Eszter Katona, Árpád Knap and Mihály Csótó have written a study about the contents of Információs Társadalom. The study was written with the primary aim of reviewing the journal’s publications and the journal’s author network covering the last 15 years. The authors of the study examine what topics were included in the Hungarian discourse of “information society studies” by the journal. The authors of the article use Natural Language Processing (NLP), to be precise, topic modeling, to analyze the thematic structure of the journal. The analysis identifies 10 latent topics, i.e. networks / systems, education, data protection, Internet and communities using the Latent Dirichlet Allocation (LDA). In addition to content analysis, the article also provides insight into the co-author network of the journal, as well as the relationship between authors and topics. The network is typically based on dyads, triads, and groups of four authors. Three graphs were identified with relatively many authors in the whole network. Based on the topic model it seems that those authors’ articles who published a lot in the journal, belong into 3-4 topics.

This is exciting enough explained in words, but here are some visualizations.

Author network
The figure below shows co-authroships of the last 15 years. The graph is a network of articles written by multiple authors between 2005 and 2020.
(Compiled by: Eszter Katona, Árpád Knap, Fanni Máté)

Chord diagram (filtered) 
The topics associated to authors on a chord diagram. Filtered to the 91 who have written 2 or more papers.
(Compiled by: Eszter Katona, Árpád Knap, Fanni Máté)

Chord diagram (full)
The topics associated to authors on a chord diagram (all authors).
(Compiled by: Eszter Katona, Árpád Knap, Fanni Máté)

The full paper explaining the creation of these visualizations
Fanni Máté, Eszter Katona, Árpád Knap and Mihály Csótó.
„Az Információs Társadalomban megjelenő tanulmányok topikelemzése”. Információs Társadalom XXI/1 (2021): 10–47.


The publication of the Journal is supported by Budapest University of Technology and Economics.