Social studies of scholarly life with sensor-based ethnographic observations

Kibanov, Mark; Heiberger, Raphael H.; Rödder, Simone; Atzmueller, Martin; Stumme, Gerd

doi:10.1007/s11192-019-03097-w

Cited by 9 publications

(5 citation statements)

References 48 publications

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“…ERGMs have been applied in a vast range of empirical settings (Kibanov et al, 2019), including knowledge exchange networks (Jiang & Chen, 2019) and co-authorship collaborations (Kronegger et al, 2012;McLevey et al, 2018). In this study, the ERGM is implemented using the ergm package in R (Hunter et al, 2008b), which is part of the statnet suite of packages for social network analysis (Handcock et al, 2008).…”

Section: University Of Leedsmentioning

confidence: 99%

Understanding collaboration patterns on funded research projects: A network analysis

Smith

Sarabi

Christopoulos

2022

Net Sci

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This paper provides an examination of inter-organizational collaboration in the UK research system. Data are collected on organizational collaboration on projects funded by four key UK research councils: Arts and Humanities Research Council, Economic and Social Research Council, Engineering and Physical Sciences Research Council, and Biotechnology and Biological Sciences Research Council. The organizational partnerships include both academic and nonacademic institutions. A collaboration network is created for each research council, and an exponential random graph model is applied to inform on the mechanisms underpinning collaborative tie formation on research council-funded projects. We find that in the sciences, collaborative patterns are much more hierarchical and concentrated in a small handful of actors compared to the social sciences and humanities projects. Institutions that are members of the elite Russell Group (a set of 24 high-ranking UK universities) are much more likely to be involved in collaborations across research councils.

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Section: University Of Leedsmentioning

confidence: 99%

Understanding collaboration patterns on funded research projects: A network analysis

Smith

Sarabi

Christopoulos

2022

Net Sci

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“…Our work focuses on analysing face-to-face interactions in a data-driven way, e. g., [1,3,5]. This can help to answer difficult questions, e. g., how to quantify the behavior of individual users, their interactions [24,25] and groups/teams [4,14] and, ideally, to find differences between highperforming/low-performing teams [18][19][20][21]. Analyzing the behavior of groups, e. g., in the context of teamwork itself is an important topic because teams rather than individuals are needed to handle the complex problems encountered in modern society, especially where solutions are work-intensive and demand multiple types of expertise.…”

Section: Relevancementioning

confidence: 99%

Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information

Doan

Hudson

Wiltshire

et al. 2021

Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization

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“…Disciplinary homophily can drive the exchange of information between researchers and constrain interdisciplinarity (McPherson et al 2001). For example, one study showed that, during coffee breaks at research retreats, the interactions between doctoral students reflected a high degree of homophily of institutions and research subjects (Kibanov et al 2019).…”

Section: A Framework For Analyzing Interdisciplinarity Using Social Nmentioning

confidence: 99%

Collective and individual interdisciplinarity in a sustainability research group: A social network analysis

et al. 2020

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In sustainability science, interdisciplinarity, i.e. the integration of perspectives from different disciplines, is built collectively from interactions among researchers of various disciplines ("collective interdisciplinarity") but also results from the fact that researchers have backgrounds in multiple disciplines ("individual interdisciplinarity"). We applied social network analysis tools to analyze how individual interdisciplinarity influences collective interdisciplinarity, using the case of a forest sustainability science group. We hypothesized that researchers with higher individual interdisciplinarity had more interdisciplinary interactions and were interdisciplinary brokers within the group. We first analyzed individual interdisciplinarity using a bipartite network of researchers and disciplines. We then analyzed networks of management, research, and publication interactions among researchers in the research group. This showed how disciplines influenced interactions and how researchers contributed to interdisciplinary interactions and brokerage. Results of the first analysis identified large disciplinary communities in the center of the bipartite network, whereas smaller ones were more distant. The second analysis highlighted disciplinary homophily in interaction networks, as two researchers interacted more if they were from the same disciplinary community. Results also showed that the interactions among researchers were not only structured by disciplinary homophily, but also by other forms of homophily related to location or region of work. The key brokers of interactions across disciplinary communities were distributed across several communities, showing that brokerage was not controlled by the large, dominant communities. Analysis of correlations between individual interdisciplinarity and contributions to collective interdisciplinarity did not support our hypothesis but rather hinted at the alternative hypothesis that researchers with high individual interdisciplinarity interacted less with other disciplinary communities.

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Social studies of scholarly life with sensor-based ethnographic observations

Cited by 9 publications

References 48 publications

Understanding collaboration patterns on funded research projects: A network analysis

Understanding collaboration patterns on funded research projects: A network analysis

Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information

Collective and individual interdisciplinarity in a sustainability research group: A social network analysis

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