Co-authorship, Homophily, and Scholarly Influence in Information Systems Research

Information Systems (IS) researchers have increasingly focused attention on understanding the identity of our field (Hirschheim & Klein 2003; Lyytinen & King 2004). One facet of any discipline’s identity is the social aspect of how its scholars actually conduct their work (DeSanctis 2003), which is formally labeled as the study of sociology of science. Contributing to this tradition of work, we empirically examine scholarly influence (Acedo et al., 2006); scientific collaboration, including metrics that capture the prevalence of c-oauthored work; antecedents to co-authorship; and the effect of co-authorship on subsequent citations. Based on analyzing five leading IS journals for a period of seven years, we found that co-authored papers have become increasingly common in leading IS journals and that co-authoring continues to be more prevalent in journals published in North America compared to European journals. Moreover, we found significant effects of homophily related to gender, homophily/proximity, and geography. IS scholars worldwide exhibit a stronger preference for collaborating with co-authors of the same sex and those who attended the same PhD program than one would expect by chance. We also examined differences among journals and found some intriguing results for the effect of co-authorship on citations. Overall, we found evidence that the number of co-authors was positively related to citations although there was some variance across journals. These findings point to a need for more research to better understand both the processes of collaboration and the drivers and downstream benefits associated with it

The Interdependence of Scientists in the Era of Team Science: An Exploratory Study Using Temporal Network Analysis

How is the rise in team science and the emergence of the research group as the fundamental unit of organization of science affecting scientists’ opportunities to collaborate? Are the majority of scientists becoming dependent on a select subset of their peers to organize the intergroup collaborations that are becoming the norm in science? This dissertation set out to explore the evolving nature of scientists’ interdependence in team-based research environments. The research was motivated by the desire to reconcile emerging views on the organization of scientific collaboration with the theoretical and methodological tendencies to think about and study scientists as autonomous actors who negotiate collaboration in a dyadic manner. Complex Adaptive Social Systems served as the framework for understanding the dynamics involved in the formation of collaborative relationships. Temporal network analysis at the mesoscopic level was used to study the collaboration dynamics of a specific research community, in this case the genomic research community emerging around GenBank, the international nucleotide sequence databank. The investigation into the dynamics of the mesoscopic layer of a scientific collaboration networked revealed the following—(1) there is a prominent half-life to collaborative relationships; (2) the half-life can be used to construct weighted decay networks for extracting the group structure influencing collaboration; (3) scientists across all levels of status are becoming increasingly interdependent, with the qualification that interdependence is highly asymmetrical, and (4) the group structure is increasingly influential on the collaborative interactions of scientists. The results from this study advance theoretical and empirical understanding of scientific collaboration in team-based research environments and methodological approaches to studying temporal networks at the mesoscopic level. The findings also have implications for policy researchers interested in the career cycles of scientists and the maintenance and building of scientific capacity in research areas of national interest

Evaluating patterns of national and international collaboration in Cuban science using bibliometric tools

Purpose -- The purpose of this paper is to explore the hypothesis that collaboration was a key characteristic of Cuban science to maintain their scientific capacity during a period of economic restrictions and an important feature of Cuban science policy and practice for the benefit of society. Design/methodology/approach -- Collaboration was studied through Cuban scientific publications listed in PubMed for the period 1990-2010. The search was carried out using the advanced search engine of PubMed indicating oCubaW in the affiliation field. To identify participating institutions a second search was performed to find the affiliations of all authors per article through the link to the electronic journal. A data set was created to identify institutional publication patterns for the surveyed period. Institutions were classified in three categories according to their scientific production as Central, Middle or Distal: the pattern of collaboration between these categories was analysed. Findings -- Results indicate that collaboration between scientifically advanced institutions (Central) and a wide range of national institutions is a consequence of the social character of science in Cuba in which cooperation prevails. Although this finding comes from a limited field of biomedical science it is likely to reflect Cuban science policy in general. Originality/value -- Using bibliometric tools the study suggests that Cuban science policy and practice ensure the application of science for social needs by harnessing human resources through national and international collaboration, building in this way stronger scientific capacity

Gender bias in team formation: The case of the European Science Foundation's grants

This paper investigates gender bias (if any) when teams are formed. We use data from the European Science Foundation to estimate if female scientists have the same opportunities as their male colleagues to join a team when applying for funds. To assess gender bias, we construct a control group of scientists with the competencies for being invited to join the team but do not join. By comparing the proportion of female scientists in the control group with the one in the observed teams, we find a gender bias against female scientists only when a project leader is a male scientist. At the same time, we do not observe gender bias when the project leader is a female scientist

Learning within Digital Media: Investigating the Relationships Between Student Citation Networks, Assignment Structures, and Learning Outcomes

Students are comfortable sharing digital content with others, yet the effect of sharing of digital media for learning remains largely unexplored. Building on research in social network analysis and learning analytics, this research explores the use and sharing of digital media in learning activities, analyzing the effects of the design of the learning activities on the resulting networks of students and their cited resources, and exploring relationships between attributes of these citation networks and students’ perceptions of the learning outcomes. Results suggest that the extent to which an assignment is well-structured and converges towards a single solution positively influences the density and clustering coefficient of the resulting citation network, and that these network measures in turn have a positive influence on students’ perceptions of learning from the assignment

Identifying communities of practice: analysing ontologies as networks to support community recognition

Communities of practice are seen as increasingly important for creating, sharing and applying organisational knowledge. Yet their informal nature makes them difficult to identify and manage. In this paper we set out ONTOCOPI, a system that applies ontology-based network analysis techniques to target the problem of identifying such communities