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An evaluation of information behaviour studies through the Scholarly Capital Model
Author(s) -
Soheili Faramarz,
Khasseh Ali Akbar,
Mousavi Chelak Afshin,
TavakolizadehRavari Mohammad
Publication year - 2018
Publication title -
learned publishing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.06
H-Index - 34
eISSN - 1741-4857
pISSN - 0953-1513
DOI - 10.1002/leap.1129
Subject(s) - social connectedness , centrality , prestige , representation (politics) , visibility , field (mathematics) , citation , social capital , sociology , computer science , psychology , data science , social science , social psychology , political science , library science , statistics , mathematics , geography , linguistics , philosophy , politics , meteorology , pure mathematics , law
Influence and capital are two concepts used to evaluate scholarly outputs, and these can be measured using the Scholarly Capital Model as a modelling tool. The tool looks at the concepts of connectedness, venue representation, and ideational influence using centrality measures within a social network. This research used co‐authorships and h ‐indices to investigate authors who have published papers in the field of information behaviour between 1980 and 2015 as extracted from Web of Science. The findings show a relationship between the authors’ connectedness and the venue (journal) representation. It could be seen that the venue (journal) influences the chance of citation, and equally, the prestige (centrality) of authors probably raises the citations of the journals. The research also shows a significant positive relationship between the venue representation and ideational influence. This means that a research work that is published in a highly cited journal will find more visibility and will receive more citations.