Naslov
Mrežna perspektiva produktivnosti znanstvenika u polju psihologije
(A social network perspective on researcher productivity in psychology)

Autori
Letina, Srebrenka ; Zauder, Krešimir ; Petrović, Nikola ; Jokić, Maja

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Savremeni trendovi u psihologiji 3 / - Novi Sad, 2013, 73-74

Skup
Savremeni trendovi u psihologiji 3

Mjesto i datum
Novi Sad, Srbija, 11.10.2013. - 15.10.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
analiza društvenih mreža (mrežni pristup); ego(centrična) mreža; struktura mreže; koautorstvo; objavljivačka produktivnost
(social network analysis; ego(centric) network; network structure; co-authorship; scientific publishing productivity)

Sažetak
U posljednje vrijeme je u porastu korištenje analize društvenih mreža u organizacijskoj i socijalnoj psihologiji. U ovom radu mrežni pristup se koristi u kontekstu znanstvenih djelatnika u polju psihologije u RH (N = 169) koji imaju barem jedan indeksiran rad u međunarodnoj bazi Web of Science (WoS), u vremenskom periodu od 1991. do 2010. godine. Cilj istraživanja je opisati kako su različite strategije suradnje (mjerene preko koautorstva) povezane s individualnom produktivnošću (mjerenu brojem radova pojedinih znanstvenika u WoS-u). U okviru metodologije proizašle iz mrežnog pristupa za svakog znanstvenika je utvrđena njegova ego(centrična) mreža koja opisuje broj i učestalost veza s drugim znanstvenicima, te njihovu međusobnu povezanost. Na temelju različitih numeričkih indikatora strukture ego mreža, opisani su različiti obrazci suradnje. Među najproduktivnijim autorima najčešće su složene ego mreže koje karakterizira velik broj koautora, strukturalne pukotine (nepostojanje suradnje među nekima od koautora), ali i učestale suradnje s jednim ili više koautora (snaga veze). Use of social network analysis (SNA) in social and organizational psychology has been growing in recent years. In this study it will be used in the context of Croatian psychologists. The network population consisted of 169 registered Croatian scientists (nodes in SNA) in the field of psychology that had at least one indexed paper in international database Web of Science (WoS) for 20 year time period (1991-2010). The aim of the study is to explore and describe how different co-authorship strategies determine individual research productivity measured in terms of quantity of publications indexed in WoS. Increased specialization and frequent collaboration are common behaviors in scientific community in all fields, as well as the evaluation of scientists based on bibliometric indicators of their publishing productivity. We applied a social network perspective which focuses on scientists embedded within a network of collaboration with other scientists. These relationships (measured through co-authorships) define structure of their ego networks, which can be used to describe their potential opportunities and constraints for research, innovation, access to novel information, collaboration and thereby, publication productivity. Two theories explain the relationship between social network structure and research productivity using concept of social capital. A specific scholar’s co-authorship network may reflect a structure of more cohesion (Coleman, 1988), or one which fills more structural holes (Burt, 1992), both of which are theorized to be associated with publication success. Firstly, SNA is used to empirically determine the co-authorship strategy of each researcher in the study. We calculated different measures of ego networks (extracted from whole network in igraph and E net software) for every researcher: size, cohesion measures (density, tie strength) and structural hole measures (efficiency, constraint). Secondly, based upon SNA variables, 6 different co-authorship network structures were identified: isolate, dyadic, bonding, bridging, independent, and complex. In terms of total publications, findings suggest that having structural holes—a network structure that spans across the larger network and provides authors with a greater variety of co-authors (ρ = .59-.81, p = .00) and having high strength of ties— multiple publications with the same co-authors (ρ = .62, p = .00) is associated with high productivity. An ideal hybrid network structure has both characteristics. Thus, complex strategy is the most productive in this context, which is consistent with results of prior studies on different populations. Visualizations of egocentric networks of 5 most productive scientists will be used as illustration of most effective collaboration styles. Some important methodological issues in the use of SNA will also be examined: problems with defining population, identification of foreign authors and authors outside specific field, and hyperauthorship.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Sociologija, Psihologija

POVEZANOST RADA