Social Network Analysis

Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan

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.

Author(s):  
PUSHPA PUSHPA ◽  
Dr. Shobha G

Social Network Analysis (SNA) is a set of research procedures for identifying group of people who share common structures in systems based on the relations among actors. Grounded in graph and system theories, this approach has proven to be powerful measures for studying networks in various industries like Telecommunication, banking, physics and social world, including on the web. Since Telecommunication industries deals with huge amount of data, manual analysis of data is very difficult. In this paper we explore the Social Network Analysis techniques for Churn Prediction in Telecom data. Typical work on social network analysis includes the construction of multi-relational telecom social network and centrality measures for prediction of churners in telecom social network.


Management ◽  
2019 ◽  
Author(s):  
Sana Ansari ◽  
Dalhia Mani

The field of social networks focuses on the relationships among social actors, and on patterns that emerge from the structure of the social network and its implications (Wasserman and Faust’s Social Network Analysis: Methods and Applications). Social network research argues that actors (e.g., individuals or firms) are embedded within a network of relations, and that their behavior and choices cannot be studied independent of the social relations that shape and structure behavior. Social network perspective views relations among the social actors as ties and regular patterns in relationship as structure. Ties are the relational linkages that allow flow of resources between the actors, both tangible and intangible. Multiple actors form a web of relational ties, which can be either economic, social, or political. Networks can be of different types based on the content of the relational tie between the actors. For instance, collaboration ties between actors make a collaboration network or a co-author relation between actors makes a co-authorship network. Networks can also be at different levels of analysis—for instance, an intraorganizational friendship network is at the level of individuals while a network of intercountry trade relations is at the level of country. Ties between actors can be of different strengths (for instance, friends who meet daily versus once a year) and can also be negative or positive ties (e.g., competition networks versus collaboration networks). This article summarizes the latest research on social ties and network structure by focusing on the main thematic discussions in the field: (1) networks and strategic, governance behavior; (2) workplace networks; (3) collaboration and knowledge networks; (4) networks, personality, and individual differences; (5) entrepreneurial and family business networks; and (6) networks and social media. To ensure a comprehensive review of the topic, the article used search keywords, “networks,” or “network structure,” or “social networks,” or “social ties,” and was limited to articles in the top fourteen management journals, namely: Academy of Management Journal, Strategic Management Journal, Organization Science, Management Science, American Journal of Sociology, American Sociological Review, Administrative Science Quarterly, Academy of Management Review, Journal of Management Studies, Journal of Business Venturing, and Entrepreneurship Theory and Practice. The search was further limited to the six-year period from 2014–2019, since previous articles on organizational networks and brokerage in Oxford Bibliographies have summarized the research in this domain prior to 2014.


Author(s):  
Filip Agneessens

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.


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.


2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Rhyne King ◽  
Reinhard Pirngruber

Abstract This paper argues for a historically grounded view of slavery in Achaemenid-period Babylonia by examining the life of one particular individual, Rībat son of Bēl-erība, an ardu of the Murašû family (whose archive spans c. 454–404 BCE). In contrast to other studies which focus on the terminology or legal aspects of slavery, we examine the lived experience of Rībat. We do this in two ways. First, we study all of Rībat’s attested business ventures and demonstrate that, although Rībat occasionally acted under the direct orders of his masters, he more often pursued activities ancillary to those of the core Murašû business. Secondly, we use social network analysis of over 700 Murašû texts to demonstrate that, although Rībat was crucial in linking distinct individuals to the Murašû business, he lay outside his masters’ group of core associates. We then compare Rībat’s social position to that of other known Murašû subordinates to argue that Rībat’s experience was representative of that of other Murašû subordinates. We conclude by arguing for more social-historical studies of Babylonian servitude in the future.


2000 ◽  
Vol 27 (2) ◽  
pp. 1-48 ◽  
Author(s):  
Thomas A. Lee

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.


Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 449-461
Author(s):  
Mahyuddin K.M. Nasution ◽  
Rahmad Syah ◽  
Marischa Elveny

Social network analysis is a advances from field of social networks. The structuring of social actors, with data models and involving intelligence abstracted in mathematics, and without analysis it will not present the function of social networks. However, graph theory inherits process and computational procedures for social network analysis, and it proves that social network analysis is mathematical and computational dependent on the degree of nodes in the graph or the degree of social actors in social networks. Of course, the process of acquiring social networks bequeathed the same complexity toward the social network analysis, where the approach has used the social network extraction and formulated its consequences in computing.


2020 ◽  
Vol 49 (4) ◽  
pp. 159-181
Author(s):  
Kinda Dahlan ◽  
Melissa Terras

Abstract What does a digital Social Network Analysis reveal about online oceanographic communities on Twitter? We examine the structure of a digital community of practice of oceanographers and ocean-related stakeholders on Twitter using a Social Network Analysis (SNA) approach to understand digital aspects of information production and information flow in oceanography, mapping the social ties between members of a community of practice concerned with the study of the oceans. We carried out the SNA using Docteur Tweety TwExList for data collection, and Gephi to visualize scraped data, and found that although the oceanographic community on Twitter is an active vibrant community, fragmentation between sub-communities exist. Further qualitative sampling revealed where these fragmentations occur between individual researchers, institutions, funding bodies, government agencies, and news outlets as a result of practice, time zones, and geography. The findings also revealed which groups are utilizing Twitter consistently, and which accounts have the potential to connect isolated groups. We recommend that if training were available to assist ocean scientists in understanding the affordances of Twitter, it would be possible to utilise it for better collaboration, community integration, and more effective public outreach.


Author(s):  
Sophie Mützel ◽  
Ronald Breiger

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.


Sign in / Sign up

Export Citation Format

Share Document