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

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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Studying Positive and Negative Direct and Extended Contact: Complementing Self-Reports With Social Network Analysis

Personality and Social Psychology Bulletin ◽

10.1177/0146167217719732 ◽

2017 ◽

Vol 43 (11) ◽

pp. 1566-1581 ◽

Cited By ~ 16

Author(s):

Ralf Wölfer ◽

Eva Jaspers ◽

Danielle Blaylock ◽

Clarissa Wigoder ◽

Joanne Hughes ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Intergroup Relations ◽

Large Scale ◽

Intergroup Contact ◽

Network Analyses ◽

Self Reports ◽

Extended Contact ◽

Contact Parameters

Traditionally, studies of intergroup contact have primarily relied on self-reports, which constitute a valid method for studying intergroup contact, but has limitations, especially if researchers are interested in negative or extended contact. In three studies, we apply social network analyses to generate alternative contact parameters. Studies 1 and 2 examine self-reported and network-based parameters of positive and negative contact using cross-sectional datasets ( N = 291, N = 258), indicating that both methods help explain intergroup relations. Study 3 examines positive and negative direct and extended contact using the previously validated network-based contact parameters in a large-scale, international, and longitudinal dataset ( N = 12,988), demonstrating that positive and negative direct and extended contact all uniquely predict intergroup relations (i.e., intergroup attitudes and future outgroup contact). Findings highlight the value of social network analysis for examining the full complexity of contact including positive and negative forms of direct and extended contact.

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Visualizing Co-Authorship Social Networks and Collaboration Recommendations With CNARe

Advances in Wireless Technologies and Telecommunication - Graph Theoretic Approaches for Analyzing Large-Scale Social Networks ◽

10.4018/978-1-5225-2814-2.ch011 ◽

2018 ◽

pp. 173-188

Author(s):

Michele A. Brandão ◽

Matheus A. Diniz ◽

Guilherme A. de Sousa ◽

Mirella M. Moro

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Large Scale ◽

Online Tool ◽

Strength Of Ties ◽

E Learning

Studies have analyzed social networks considering a plethora of metrics for different goals, from improving e-learning to recommend people and things. Here, we focus on large-scale social networks defined by researchers and their common published articles, which form co-authorship social networks. Then, we introduce CNARe, an online tool that analyzes the networks and present recommendations of collaborations based on three different algorithms (Affin, CORALS and MVCWalker). Through visualizations and social networks metrics, CNARe also allows to investigate how the recommendations affect the co-authorship social networks, how researchers' networks are in a central and eagle-eye context, and how the strength of ties behaves in large co-authorship social networks. Furthermore, users can upload their own network in CNARe and make their own recommendation and social network analysis.

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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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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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