scholarly journals Perceived group cohesion versus actual social structure: A study using social network analysis of egocentric Facebook networks

2018 ◽  
Vol 74 ◽  
pp. 161-175 ◽  
Author(s):  
Marina Tulin ◽  
Thomas V. Pollet ◽  
Nale Lehmann-Willenbrock

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.


2018 ◽  
Vol 44 ◽  
pp. 282-305 ◽  
Author(s):  
Raiko Krauß ◽  
Clemens Schmid ◽  
David Kirschenheuter ◽  
Jonas Abele ◽  
Vladimir Slavchev ◽  
...  

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.


Author(s):  
Tom Arthurs

This paper uses approaches from ethnography and Social Network Analysis to provide a brief insight into the practical, economic and social structure of Berlin’s Improvised Music scene during 2012 and 2013. The findings presented here address imbalances of gender and race, and highlight the (often difficult) financial reality of a life in Improvised Music. Audience, venues and performers are portrayed in order to provide an entry point for those unfamiliar with Improvised Music communities, and to offer an empirically researched point of departure for those already acquainted with such musicians and practices. This paper is an adaptation of parts of my PhD thesis “The Secret Gardeners: An Ethnography of Improvised Music in Berlin (2012-13),” which addresses the aesthetics, ideologies and practicalities of contemporary European Improvised Music-making from the point of view of 34 key practitioners and “expert” listeners.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83015 ◽  
Author(s):  
Céline Bret ◽  
Cédric Sueur ◽  
Barthélémy Ngoubangoye ◽  
Delphine Verrier ◽  
Jean-Louis Deneubourg ◽  
...  

2013 ◽  
Vol 5 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Jeremy M Jostad ◽  
Karen Paisley ◽  
Jim Sibthorp ◽  
John Gookin

2018 ◽  
Vol 14 (1) ◽  
pp. 110-124 ◽  
Author(s):  
Reza Yousefi Nooraie ◽  
Joanna E. M. Sale ◽  
Alexandra Marin ◽  
Lori E. Ross

A quantitative approach to social network analysis involves the application of mathematical and statistical techniques and graphical presentation of results. Nonetheless—as with all sciences—subjectivity is an integral aspect of network analysis, manifested in the selection of measures to describe connection patterns and actors’ positions (e.g., choosing a centrality indicator), in the visualization of social structure in graphs, and in translating numbers into words (telling the story). Here, we use network research as an example to illustrate how quantitative and qualitative approaches, techniques, and data are mixed along a continuum of fusion between quantitative and qualitative realms.


2020 ◽  
Vol 63 (1) ◽  
pp. 19-29
Author(s):  
Eleni T. Tsiobani ◽  
Maria D. Yiakoulaki ◽  
Nikolaos D. Hasanagas ◽  
Ioannis E. Antoniou

Abstract. Water buffaloes are considered social animals and perform several activities on pasture, such as grazing, moving, standing, ruminating, wallowing, lying, and drinking. However, the way these animals form their social structure in the herd during each one of these activities is still unknown. Literature for water buffaloes has focused mainly on their productive characteristics, impact of grazing on wetlands and behavior during grazing but failed to address the way these animals form their social organization during their activities on pasture. In this study, the tools of social network analysis are used to analyze, detect, and depict the proximity patterns in water buffaloes' activities on pasture and the effect of their age and gender on them. We describe and interpret a series of global and local network indices, and show that the water buffaloes differentiate their social structure in their activities on pasture and that the animals' age and gender affect their interacting patterns, and provide a framework for the application of social network analysis on grazing animals' social behavioral studies. We expect that this framework could be used in future research to provide information regarding the social structure of other kinds of animals that graze in different forage and climatic environments and help animal breeders to improve their management practices.


Author(s):  
Liselott Fornander ◽  
Kati Kaukkanen ◽  
Ida Molin ◽  
Lena Nilsson ◽  
Karin Björnström Karlsson ◽  
...  

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.


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