A single journal study : Malaysian Journal of Computer Science

Single journal studies are reviewed and measures used in the studies are highlighted. The following quantitative measures are used to study 272 articles published in Malaysian Journal of Computer Science, (1) the article productivity of the journal from 1985 to 2007, (2) the observed and expected authorship productivity tested using Lotka's Law of author productivity, identification and listing of core authors; (3) the authorship, co-authorship pattern by authors' country of origin and institutional affiliations; (4) the subject areas of research; (5) the citation analysis of resources referenced as well as the age and half-life of citations; the journals referenced and tested for zonal distribution using Bradford's law of journal scattering; the extent of web citations; and (6) the citations received by articles published in MJCS and impact factor of the journal based on information obtained from Google Scholar, the level of author and journal self-citation

Citation Analyses in Information Systems

Few scientists that specialize in information systems would recognize the name one of the field’s most cited authors, Ike Antkare. It is not that Antkare is from an obscure discipline. This aberration is the result of a vulnerability of citation analyses. A vulnerability proven with a computer program. Today, funding, promotion and tenure extension depend on the results of these analyses. This paper explores the nature of citation analyses in the information systems (IS) field and classifies them based on an adapted framework of Zupic and Cater (2015). The results illustrate two types of citation analyses. The first type contains ranking studies using measures of the h-family index calculated on citation networks. The second type involves co-citation analysis applying cluster or factor analysis to determine the intellectual structure, trajectory or maturity

Unraveling the Relationship between Co-Authorship and Research Interest

Co-authorship in scientific research is increasing in the past decades. There are lots of researches focusing on the pattern of co-authorship by using social network analysis. However, most of them merely concentrated on the properties of graphs or networks rather than take the contribution of authors to publications and the semantic information of publications into consideration. In this paper, we employ a contribution index to weight word vectors generated from publications so as to represent authors’ research interest, and try to explore the relationship between research interest and co-authorship. Result of curve estimation indicates that research interest couldn’t be employed to predict co-authorship. Therefore, graph-based researcher recommendation needs further examination

Longitudinal Trends in Networks of University-Industry-Government Relations in South Korea: The Role of Programmatic Incentives

This study examines the longitudinal trend of systemness in networked research relations in South Korea using a triple-helix (TH) indicator of university-industry-government (UIG) relations. The data were harvested from the Science Citation Index (SCI) and its counterparts in the social sciences (SSCI) and the arts and humanities (A&HCI). The total number of Korean SCI publications has grown rapidly since 1965. However, the TH indicator shows that the network dynamics have varied considerably according to the research policies of the national government. The collaboration patterns, as measured by co-authorship relations in the SCI noticeably increased, with some variation, from the mid-1970s to the mid-1990s. However, interinstitutional collaboration in the first decade of the 21 st century was negatively influenced by the new national science and technology (S&T) research policies that evaluated domestic scientists and research groups based on their international publication numbers rather than on the level of cooperation among academic, private, and public domains. The results reveal that Korea has failed to boost its national research capacity by neglecting the network effects in science, technology, and industry

UNDERSTANDING THE EVOLUTION OF INFORMATION SYSTEMS RESEARCH FROM THE PERSPECTIVE OF CO-AUTHORSHIP NETWORK: A COMPREHENSIVE DATA ANALYSIS FROM 1993 TO 2012

Based on the articles published in three top journals in the field of information systems (MISQ, ISR and JMIS) from 1993 to 2012, we conduct a research of the structure, characteristics and development trend of co-authorship network through scientometrics and social network analysis approaches. We gain a number of insights after synthetical analysis. In the last two decades the whole co-authorship network density in information systems faces a tendency of decrease. The co-authorship network presents properties of “small world”. The number of articles published by scholars and institutions in the three elite journals all display a ‘long tail’ phenomenon. The field of information systems has a stable development in the biggest component, and has not yet went into a mature and steady stage. Quite a lot of outstanding scholars and educational resources came from USA, Canada and Hong Kong, and USA has held eight institutions of the top ten. The ranking of an entire institution can be influenced by even one or two authors, indicating that outcome from one level might propagate to the next level

Delineation and analysis of co-authorship network among the academics of School of Dentistry in Kerman University of Medical Sciences in 2013 using network analysis method

BACKGROUND AND AIM: This study aims to explore the co-authorship in School of Dentistry at Kerman University of Medical Sciences, Iran, in three levels; individuals, other schools of KUU, and beyond the university. METHODS: This is a cross-sectional study which is a part of a larger study conducted from September 2014 to December 2014. A comprehensive search in Scopus was conducted to find related articles published in 2013 by following these steps; first of all, a complete list of all faculties, based on the school and the department they worked in, was obtained. Second, all articles indexed with the affiliation of KMU were retrieved, using both keywords of “Kerman Medical University” and KUM Sciences.” The data were analyzed using Social Network Analysis and Visone software. RESULTS: The results showed an inadequate collaboration within departments; only two of them had collaboration. Co-authorship among departments illustrated a more satisfactory picture: although, it still has more rooms for improvement. Regarding collaboration between the Dentistry School and other schools of the university, the School of Dentistry is in a middle position, though it could have had more potential relationships. The School of Dentistry formed a few relationships with the organizations outside of the university. CONCLUSION: Our study suggests that there are more rooms for improvement in the field of collaboration and coauthoring papers, which could consequently not only lead to a higher rate of publication and visibility but also affect the citation rates for authors. KEYWORDS: Authorship Collaboration; Dentistry; Network Analysis; Social Networks; Co-Authorshi

Geographic clustering and network evolution of innovative activities: Evidence from China’s patents

This study examines the spatial distribution and social structure of processes of learning and knowledge creation within the context of the inventor network connecting Chinese patent teams. Results uncover mixed tendencies toward both geographic co-location and dispersion arising from combined processes of intra-cluster learning and extra-cluster networking. These processes unfold within a social network that becomes less fragmented over time: as a giant component emerges and increases in size, social distances among inventors become longer. The interplay between geographic and network proximity is assessed against China’s institutional environment. Implications of the findings are discussed for regional development and policy-making.clusters; knowledge transfer; social networks; patenting