scholarly journals IRL relational dependence in Swedish trauma teams- a Social Network Analysis of communication

2020 ◽  
Vol 9 (1) ◽  
pp. 117-120
Author(s):  
Liselott Fornander ◽  
Kati Kaukkanen ◽  
Ida Molin ◽  
Lena Nilsson ◽  
Karin Björnström Karlsson ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Structure ◽  
Social Relations ◽  
Situational Awareness ◽  
Team Members ◽  
The Social ◽  
Trauma Teams

Functional teamwork in trauma resuscitation teams is essential for team performance and the quality of care. Challenging situations put strain on the teams, which can affect how coordination is achieved. Proposedly there is a relation between the adapted social structure of the team and the acquisition of a common mental model in the team, which facilitates task performance. From other studies it is proposed that the equality of reliance between team members and an open-structure of information sharing is coupled to the possibility of establishing shared goals and situational awareness within the team. This would correspond to low centralization in teams. This study assessed the social structure of IRL teams from trauma resuscitations through a Social Network Analysis (SNA) of communication. The analysis revealed that the examining physician was the most prominent communicator. However, the teams had over-all high degrees of centrality on more than one of its parts, making them high in centralization but not “star-like”. The study provides a snapshot of social relations IRL and hints about future possibilities of studying the dynamics of social interaction in emergency teams.

Introduction

2020 ◽  
pp. 1-29
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Structure ◽  
Research Methods ◽  
The Other ◽  
Traditional Research ◽  
The Social ◽  
Social Realm ◽  
The Impact

The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.

scholarly journals Chronology and development of the Chalcolithic necropolis of Varna I

2018 ◽  
Vol 44 ◽  
pp. 282-305 ◽  
Author(s):  
Raiko Krauß ◽  
Clemens Schmid ◽  
David Kirschenheuter ◽  
Jonas Abele ◽  
Vladimir Slavchev ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Gender Roles ◽  
Social Structure ◽  
Rank Order ◽  
14C Age ◽  
The Social ◽  
Age Model

In the following paper, we present the main results of our now completed studies of the Varna I cemetery, based on the excavations undertaken by Ivan Ivanov in the years 1972–1991. The richness of the assemblages is singular in Old World prehistory. To tackle the question of its inter­nal, chronological development, we applied correspondence analysis (CA) to a newly created database that includes the inventories of all presently known graves, symbolic burials and find de­posits. The rank order of the seriated inventories was used to establish a CA-based 14C-age model for wiggle matching. In combination with topographic observations and social network analysis (SNA), our studies provide a new understanding both of the chronological and spatial distribution of the graves and burial goods, as well as new insights into the social structure, gender roles, individual relation­ships and ritual practices of the Chalcolithic community.

Dyadic, Nodal, and Group-Level Approaches to Study the Antecedents and Consequences of Networks

2020 ◽  
pp. 187-218
Author(s):  
Filip Agneessens
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Group Level ◽  
The Social ◽  
Approaches To Study ◽  
Antecedents And Consequences ◽  
Level Of Analysis

Social network analysis encompasses a variety of methods to study the social relations and social interactions between individual units in a group. This chapter offers an overview of the types of research questions that can be answered with social network analysis and discusses appropriate statistical methods and network sampling approaches to answer such questions. Six basic types of models are identified, based on two criteria: (1) whether the researchers are interested in the antecedents of networks and/or their consequences and (2) the appropriate level of analysis, in particular the dyadic, nodal, or group level. Extensions and variations of these six basic models are discussed, for example models where networks take on the role of mediator or moderator, as well as models that incorporate multiple levels of analysis and models that integrate network antecedents and network consequences simultaneously.

scholarly journals Social Network Analysis of Alzheimer’s Teams: A Clinical Review and Applications in Psychiatry to Explore Interprofessional Care

2021 ◽  
Vol 18 ◽  
Author(s):  
Carlo Lazzari ◽  
Yasuhiro Kotera ◽  
Pauline Green ◽  
Marco Rabottini
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Patient Care ◽  
Psychiatric Hospitals ◽  
Geriatric Psychiatry ◽  
Team Members ◽  
Interprofessional Teams ◽  
The Social ◽  
The Impact

Introduction: Understanding the social networks of professionals in psychiatric hospitals and communities working with persons with Alzheimer’s (PWA) disease helps tackle the flow of knowledge in patient care and the centrality of team members in providing information and advice to colleagues. Objectives: To use Social Network Analysis (SNA) to confirm or reject the hypothesis that psychiatric professionals have equal status in sharing information and advice on the care of PWA and have reciprocal ties in a social network. Methods: The sample consisting of 50 psychiatric professionals working in geriatric psychiatry in the UK completed an anonymous online survey asking them to select the professional categories of the colleagues in the interprofessional team who are most frequently approached when providing or receiving advice about patient care and gathering patient information. SNA is both a descriptive qualitative analysis and a quantitative method that investigates the degree of the prestige of professionals in their working network and the reciprocity of their ties with other team members. Findings: The social network graphs and numerical outcomes showed that interprofessional teams in geriatric psychiatry have health carers who play central roles in providing the whole team with the knowledge necessary for patient care; these are primarily senior professionals in nursing and medical roles. However, the study reported that only 13% of professionals had reciprocal ties within teams. Conclusion: The current research findings show that the impact of psychiatric health carers in interprofessional teams caring for PWA is not evenly distributed. Those with apparently higher seniority and experience are more frequently consulted; however, other more peripheral figures can be equally valuable in integrated care.

The Structure of Interaction at Meetings: A Social Network Analysis

2016 ◽  
Vol 60 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Nils Christian Sauer ◽  
Simone Kauffeld
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Structure ◽  
Functional Interaction ◽  
Personal Initiative ◽  
Crucial Effect ◽  
The Social ◽  
Team Success ◽  
Antecedents And Consequences

Abstract. Which factors contribute to effective meetings? The interaction among participants plays a key role. Interaction is a relational, interdependent process that constitutes social structure. Applying a network perspective to meeting interactions allows us to take account of the social structure. The aim of this study was to use social network analysis to distinguish functional and dysfunctional interaction structures and gain insight into the facilitation of meetings by analyzing antecedents and consequences of functional interaction structures. Data were based on a field study in which 51 regular meetings were videotaped and coded with act4teams. Analyses revealed that compared with dysfunctional networks, functional interaction is less centralized and has a positive effect on team performance. Social similarity has a crucial effect on functional interaction because participants significantly interact with others who are similar in personal initiative and self-efficacy. Our results provide important information about how to assist the interaction process and promote team success.

Social Network Analysis

2021 ◽  
pp. 261-266
Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Social Ties ◽  
Social World ◽  
Face To Face ◽  
Social Actors ◽  
The Social ◽  
Flow Through

This chapter studies Social Network Analysis (SNA), which is a methods toolbox for analysing the patterning of social ties and explaining how and why those patterns emerge and what consequences they have for social actors. Social networks are ubiquitous in the social world, either unfolding in face-to-face interactions or digitally. In recent decades, SNA has grown in popularity, appealing broadly to students interested in complex social structures. The recent availability of data based on digital traces of social relations (e.g. emails or social media profiles) has further prompted students to study these network structures. Analysing how actors are connected through other actors via paths may indicate how e.g. information or resources flow through the network via these ties.

A SOCIAL NETWORK ANALYSIS OF THE FOUNDERS OF INSTITUTIONALIZED PUBLIC ACCOUNTANCY

2000 ◽  
Vol 27 (2) ◽  
pp. 1-48 ◽  
Author(s):  
Thomas A. Lee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Insurance Industry ◽  
Archival Data ◽  
Research Results ◽  
The Social ◽  
Sources Of Influence

This paper examines the social relations of the founders of the first institutions of modern public accountancy in Scotland. The study uses archival data to construct social networks prior to 1854. Individual founders in the networks are identified as potentially significant sources of influence in the foundation events. The paper reports the social network analysis in several parts. First, relations between the founders of The Institute of Accountants in Edinburgh (IAE), renamed The Society of Accountants in Edinburgh (SAE), are networked. Second, a similar analysis is made of the foundation of The Institute of Accountants and Actuaries in Glasgow (IAAG). Third, social links between individual founders of the IAE/SAE and IAAG are identified. The research results are generally consistent with prior studies but reveal significant matters not identified by other researchers. The social network analysis of the IAE/SAE founders confirms the existence of a cohesive and elite community and the presence of an elite within an elite. There is evidence of strong links to lawyers and landowners, as well as significant links to the insurance industry.

scholarly journals Chronology and development of the Chalcolithic necropolis of Varna I

10.4312/dp.17 ◽  
2018 ◽  
Vol 44 ◽  
pp. 282
Author(s):  
Raiko Krauß ◽  
Clemens Schmid ◽  
David Kirschenheuter ◽  
Jonas Abele ◽  
Vladimir Slavchev ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Gender Roles ◽  
Social Structure ◽  
Rank Order ◽  
14C Age ◽  
The Social ◽  
Age Model

In the following paper, we present the main results of our now completed studies of the Varna I cemetery, based on the excavations undertaken by Ivan Ivanov in the years 1972–1991. The richness of the assemblages is singular in Old World prehistory. To tackle the question of its inter­nal, chronological development, we applied correspondence analysis (CA) to a newly created database that includes the inventories of all presently known graves, symbolic burials and find de­posits. The rank order of the seriated inventories was used to establish a CA-based 14C-age model for wiggle matching. In combination with topographic observations and social network analysis (SNA), our studies provide a new understanding both of the chronological and spatial distribution of the graves and burial goods, as well as new insights into the social structure, gender roles, individual relation­ships and ritual practices of the Chalcolithic community.

Duality beyondPersons and Groups

2020 ◽  
pp. 391-413
Author(s):  
Sophie Mützel ◽  
Ronald Breiger
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Data ◽  
Future Directions ◽  
Affiliation Networks ◽  
The Social ◽  
Recent Developments ◽  
Principle Of Duality ◽  
Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

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