Socioacademic Communities of Scholarship: Adult Education Journal Editorship and Graduate Assistantships

This study sought to determine the perceptions of graduate students who serve as editorial assistants to understand how their experiences within this socioacademic community of scholarship has assisted their professional development as emerging scholars in the field of adult and continuing educatio

Static and Dynamic Aspects of Scientific Collaboration Networks

Collaboration networks arise when we map the connections between scientists which are formed through joint publications. These networks thus display the social structure of academia, and also allow conclusions about the structure of scientific knowledge. Using the computer science publication database DBLP, we compile relations between authors and publications as graphs and proceed with examining and quantifying collaborative relations with graph-based methods. We review standard properties of the network and rank authors and publications by centrality. Additionally, we detect communities with modularity-based clustering and compare the resulting clusters to a ground-truth based on conferences and thus topical similarity. In a second part, we are the first to combine DBLP network data with data from the Dagstuhl Seminars: We investigate whether seminars of this kind, as social and academic events designed to connect researchers, leave a visible track in the structure of the collaboration network. Our results suggest that such single events are not influential enough to change the network structure significantly. However, the network structure seems to influence a participant's decision to accept or decline an invitation.Comment: ASONAM 2012: IEEE/ACM International Conference on Advances in Social Networks Analysis and Minin

Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns

Many investigations of scientific collaboration are based on statistical analyses of large networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustrate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a relatively small network of scientific collaboration (N = 291) constructed from the bibliographic record of a research center involved in the development and application of sensor network and wireless technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortative mixing of selected node characteristics, unveiling the researchers' propensity to collaborate preferentially with others with a similar academic profile. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.Comment: Scientometrics (In press

Coauthorship and Thematic Networks in AAEP Annual Meetings

We analyze the coauthorship production of the AAEP Annual Meeting since 1964. We use social network analysis for creating coauthorship networks and given that any paper must be tagged with two JEL codes, we use this information for also structuring a thematic network. Then we calculate network metrics and find main actors and clusters for coauthors and topics. We distinguish a gender gap in the sample. Thematic networks show a cluster of codes and the analysis of the cluster shows the preeminence of the tags related to trade, econometric, distribution/poverty and health and education topics.Comment: 30 pages, 12 Figures, 16 Table

Exploring Gender Role in Co-Authorship Networks for Computing Books: A Case Study in DBLP

Social network analysis and mining intend to explore for certain, previously unknown, and probably useful relational information from social and information networks. In our case, the research paper is about identifying collaborative networks between the authors (co-authors) of Computer Science books with the highlighted focus on the women computer scientist’s community. Often the hardest part of collaborating is knowing whom you should be collaborating with. Hence, this study will tackle this issue and will identify, and present a visualization of the co-authors which have already collaborated and how often they have collaborated. In this way, we are going to distinguish the successful collaboration between co-authors, the trend of further collaboration between them and the participation of women on these collaborations. This paper is research which is based on detailed and intensive analysis of the different ways of identifying these kinds of connections through secondary material. This work is licensed under a&nbsp;Creative Commons Attribution-NonCommercial 4.0 International License.</p

An exploratory social network analysis of academic research networks

For several decades, academics around the world have been collaborating with the view to support the development of their research domain. Having said that, the majority of scientific and technological policies try to encourage the creation of strong inter-related research groups in order to improve the efficiency of research outcomes and subsequently research funding allocation. In this paper, we attempt to highlight and thus, to demonstrate how these collaborative networks are developing in practice. To achieve this, we have developed an automated tool for extracting data about joint article publications and analyzing them from the perspective of social network analysis. In this case study, we have limited data from works published in 2010 by England academic and research institutions. The outcomes of this work can help policy makers in realising the current status of research collaborative networks in England

Co-authorship trends and collaboration patterns in the Slovenian sociological community

The article deals with some processes generating increases in research collaboration; one of the most characteristic tendencies of modern science. The major empirical focus is the increasing tendency to co-authorship in sociological publications in Slovenia. Bibliometric analyses, based on two joint national research information systems (SICRIS and COBISS), show the amount of coauthored publications in the field of sociology have increased over the last two decades. Blockmodeling of co-authorship networks in sociology has shown that sociologists who are not systematically tied to strongly connected and wellestablished research groups produce the best scientific publications in their field