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.

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.

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 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.

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.

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.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

scholarly journals Evaluation of Coordination of Emergency Response Team through the Social Network Analysis. Case Study: Oil and Gas Refinery

2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Oil And Gas ◽  
The Social ◽  
Response Team ◽  
Gas Refinery

The evolution of the intellectual structure of strategic management between 1980 and 2019

2020 ◽  
Vol 13 (4) ◽  
pp. 503-534
Author(s):  
Mehmet Ali Köseoğlu ◽  
John Parnell
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Strategic Management ◽  
Citation Analysis ◽  
Intellectual Structure ◽  
Future Directions ◽  
Content Type ◽  
The Social ◽  
Economic Foundation

PurposeThe authors evaluate the evolution of the intellectual structure of strategic management (SM) by employing a document co-citation analysis through a network analysis for academic citations in articles published in the Strategic Management Journal (SMJ).Design/methodology/approachThe authors employed the co-citation analysis through the social network analysis.FindingsThe authors outlined the evolution of the academic foundations of the structure and emphasized several domains. The economic foundation of SM research with macro and micro perspectives has generated a solid knowledge stock in the literature. Industrial organization (IO) psychology has also been another dominant foundation. Its robust development and extension in the literature have focused on cognitive issues in actors' behaviors as a behavioral foundation of SM. Methodological issues in SM research have become dominant between 2004 and 2011, but their influence has been inconsistent. The authors concluded by recommending future directions to increase maturity in the SM research domain.Originality/valueThis is the first paper to elucidate the intellectual structure of SM by adopting the co-citation analysis through the social network analysis.

scholarly journals Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

2021 ◽  
Vol 5 (4) ◽  
pp. 697-704
Author(s):  
Aprillian Kartino ◽  
M. Khairul Anam ◽  
Rahmaddeni ◽  
Junadhi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Interaction Network ◽  
Analysis Method ◽  
The Social ◽  
The World ◽  
High Degree

Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic. This case of Covid-19 can be a place of dissemination of disinformation that can be utilized by some parties. The dissemination of information in this day and age has turned to the internet, namely social media, Twitter is one of the social media that is often used by Indonesians and the data can be analyzed. This study uses the social network analysis method, conducted to be able to find nodes that affect the ongoing interaction in the interaction network of information dissemination related to Covid-19 in Indonesia and see if the node is directly proportional to the value of its popularity. As well as to know in identifying the source of Covid-19 information, whether dominated by competent Twitter accounts in their fields. The data examined 19,939 nodes and 12,304 edges were taken from data provided by the web academic.droneemprit.id on the project "Analisis Opini Persebaran Virus Corona di Media Sosial", using the period of December 2019 to December 2020 on social media Twitter. The results showed that the @do_ra_dong account is an influential actor with the highest degree centrality of 860 and the @detikcom account is the actor with the highest popularity value of follower rank of 0.994741605. Thus actors who have a high degree of centrality value do not necessarily have a high follower rank value anyway. The study ignores if there are buzzer accounts on Twitter.  

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