Discovering Scientific Collaboration Activities using Social Network Analysis. A Case Study: Faculty of Computer Science Universitas Indonesia

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

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Identifying Integration and Differentiation in a Hospital’s Logistical System: A social network analysis of a case study

10.21203/rs.3.rs-22054/v2 ◽

2020 ◽

Author(s):

Annelies van der Ham ◽

Frits Van Merode ◽

Dirk Ruwaard ◽

Arno Van Raak

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Network Structure ◽

Organization Theory ◽

Exploratory Study ◽

Case Study Research ◽

Study Research ◽

And Performance

Abstract Background Integration, the coordination and alignment of tasks, has been promoted widely in order to improve the performance of hospitals. Both organization theory and social network analysis offer perspectives on integration. This exploratory study research aims to understand how a hospital’s logistical system works, and in particular to what extent there is integration and differentiation. More specifically, it first describes how a hospital organizes logistical processes; second, it identifies the agents and the interactions for organizing logistical processes, and, third, it establishes the extent to which tasks are segmented into subsystems, which is referred to as differentiation, and whether these tasks are coordinated and aligned, thus achieving integration.Methods The study is based on case study research carried out in a hospital in the Netherlands. All logistical tasks that are executed for surgery patients were studied. Using a mixed method, data were collected from the Hospital Information System (HIS), documentation, observations and interviews. These data were used to perform a social network analysis and calculate the network metrics of the hospital network.Results This paper shows that 23 tasks are executed by 635 different agents who interact through 31,499 interaction links. The social network of the hospital demonstrates both integration and differentiation. The network appears to function differently from what is assumed in literature, as the network does not reflect the formal organizational structure of the hospital, and tasks are mainly executed across functional silos. Nurses and physicians perform integrative tasks and two agents who mainly coordinate the tasks in the network, have no hierarchical position towards other agents. The HIS does not seem to fulfill the interactional needs of agents. Conclusions This exploratory study reveals the network structure of a hospital. The cross-functional collaboration, the integration found, and position of managers, coordinators, nurses and doctors suggests a possible gap between organizational perspectives on hospitals and reality. This research sets a basis for further research that should focus on the relation between network structure and performance, on how integration is achieved and in what way organization theory concepts and social network analysis could be used in conjunction with one another.

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Examining the Diffusion of Research-Based Instructional Strategies Using Social Network Analysis: A Case Study of SCALE-UP

10.18260/1-2--20448 ◽

2020 ◽

Author(s):

Xaver Neumeyer ◽

Kathleen Foote ◽

Robert Beichner ◽

Melissa Dancy ◽

Charles Henderson

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Instructional Strategies ◽

Scale Up

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Collaboration Networks of the Implementation Science Centers for Cancer Control (ISC3): A Social Network Analysis

10.21203/rs.3.rs-1111782/v1 ◽

2021 ◽

Author(s):

Rebekah R Jacob ◽

Ariella R Korn ◽

Grace C Huang ◽

Douglas Easterling ◽

Daniel A Gundersen ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Implementation Science ◽

Scientific Collaboration ◽

Cancer Control ◽

First Year ◽

Science Centers ◽

Policy Dissemination ◽

Conducting Research

Abstract Background: Multi-center research initiatives offer opportunities to develop and strengthen connections among researchers. These initiatives often have goals of increased scientific collaboration which can be examined using social network analysis.Methods: The National Cancer Institute (NCI)-funded Implementation Science Centers in Cancer Control (ISC3) initiative conducted an online social network survey in its first year of funding (2020) to examine early scientific linkages among members (faculty, staff, trainees) and recognize areas for network growth. Members of the seven funded centers and NCI program staff identified collaborations in: planning/conducting research, capacity building, product development, scientific dissemination, practice/policy dissemination.Results: Of the 192 invitees, 182 network members completed the survey (95%). The most prevalent roles were faculty (60%) and research staff (24%). Almost one-quarter (23%) of members reported advanced expertise in implementation science (IS), 42% intermediate, and 35% beginner. Most members were female (69%) and white (79%). Across all collaboration activities, the network had a density of 14%, suggesting high cohesion for its first year. One-third (33%) of collaboration ties were between members from different centers. Degree centralization (0.33) and betweenness centralization (0.07) measures suggest a fairly saturated network (no one or few central member(s) holding all connections). The most prevalent and densely connected collaboration network was for planning/conducting research (1470 ties; 8% density). Practice/policy dissemination had the fewest collaboration ties (284), lowest density (3%), and largest number of non-connected members (n=43). Median degree (number of collaborations) varied across member characteristics and collaboration activities. Members with advanced IS expertise were more connected than intermediate/beginner groups for most activities (e.g., advanced IS members had a median of 24 capacity building collaborations (range: 4-58) vs. intermediate (median 9; range 2-53) and beginner (median 7; range 1-49) members. The number of practice/policy dissemination collaborations were similarly low across IS expertise levels (median degree 3 for advanced, 2 intermediate, 2 beginner). Conclusions: Results provide important directions for interventions within the ISC3 network to increase scientific collaboration and capacity, with a focus on growing cross-center collaborations and increasing engagement of under-represented groups. Findings will be used to capture infrastructure development as part of the initiative’s evaluation.

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Case Study

10.1093/oso/9780192897879.003.0012 ◽

2021 ◽

pp. 345-366

Author(s):

Magy Seif El-Nasr ◽

Truong Huy Nguyen Dinh ◽

Alessandro Canossa ◽

Anders Drachen

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

User Research ◽

Social Games ◽

Work Done

This chapter discusses Social Network Analysis, a technique used to analyze social networks within social games as a method to enhance retention in games. We will show how one can use this method by applying it to the problem of retention within the game Tom Clancy’s The Division (TCTD). Using the game and the analysis will help you understand how to use SNA to understand types of players and influential players, and, as a result, understand how to engage different players, especially influencers, to increase retention. While the chapter will focus on the use of SNA for TCTD as a case study, the methods discussed under SNA can be applied to other types of games. Please note that this chapter is an extension of the work done by several collaborators to the authors, including Casper Harteveld (professor, Northeastern University), Sebastian Deterding (professor, York University), and Ahmad Azadvar (User Research Lead at Ubisoft Massive), and the work was accomplished with the support of Ubisoft, the Games Lab, and the Live Ops team at Massive Entertainment.

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Using Social Network Analysis to Investigate the Collaboration Between Architects and Agile Teams: A Case Study of a Large-Scale Agile Development Program in a German Consumer Electronics Company

Lecture Notes in Business Information Processing - Agile Processes in Software Engineering and Extreme Programming ◽

10.1007/978-3-030-19034-7_9 ◽

2019 ◽

pp. 137-153 ◽

Cited By ~ 2

Author(s):

Ömer Uludağ ◽

Martin Kleehaus ◽

Soner Erçelik ◽

Florian Matthes

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Large Scale ◽

Development Program ◽

Consumer Electronics ◽

Agile Development ◽

Agile Teams

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The Mechanism of Social Organization Participation in Natural Hazards Emergency Relief: A Case Study Based on the Social Network Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16214110 ◽

2019 ◽

Vol 16 (21) ◽

pp. 4110 ◽

Cited By ~ 1

Author(s):

Yingxin Chen ◽

Jing Zhang ◽

Pandu R. Tadikamalla ◽

Lei Zhou

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Emergency Management ◽

Social Organization ◽

Natural Hazards ◽

Quantitative Research ◽

Emergency Relief ◽

The Social

The uncertainty and complexity of natural hazards put forward new requirements for emergency management systems. In order to deal with natural hazards effectively, it is important to build a cooperative network between government organizations and social organizations. The social network analysis method is adopted, the April 2013 Ya’an China earthquake is taken as a case study, the institutionalized emergency organization network before the disaster and the actual response organization network after the disaster are analyzed, and centrality, between centrality, closeness centrality and core-periphery are calculated. Through qualitative and quantitative research, the functions of social organization in the process of natural hazards emergency relief are revealed, the role orientation of social organization in the emergency management network is analyzed, and the influence factors of the social organization participation in the natural hazards relief is pointed out. Research results will help to promote the cooperation between social organization and government, and improve the efficiency of natural hazards emergency relief.

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