Is it possible to scrutinize a relationship between a given pair of actors by performing a documentary scrutiny?

AWARI ◽  
2021 ◽  
Vol 2 (1) ◽  
Author(s):  
André Luiz Dias de França ◽  
Guilherme Ataíde Dias

This is the exploratory stage of data used in a doctoral thesis that used social network analysis to scan relationships between actors with the aim of making the thesis that the exception regime in Brazil for 21 years, was already supported by a cohesive and robust of who shared an ideology. Through documentary research, a social network analysis was used in an innovative way when scrutinizing archives in the search for links between people in the period from 1964 to 1985. 374 people classified in the reports of the National Commission of Truth as responsible for human rights violations during the Dictatorship in Brazil. They are names of owners who made up an initial list of social actors to build the network of human rights violators. Through the construction of a matrix, associated with each author, it performed every fifteen events. To give depth, searches were made in the digital repositories of documents (such as their availability) for the following references: Projeto Brasil Nunca Mais de 1985, from the Archdiocese of São Paulo; National Archives and Brazilian Digital Library. With the findings, it was possible to conclude an exploratory stage with the following: It is possible to scan a relationship between a given pair of actors by conducting documentary scrutiny.

Author(s):  
Yadis Vanessa Vanegas Toala ◽  
Pilar Medina-Bravo ◽  
Miquel Rodrigo-Alsina

This article draws on the notion of technopolitics to analyze the reconfiguration of collective networked action of eco-social activism, based on the study of #SOSPuebloShuar on Twitter. Through the method of social network analysis, the main political actors and their relationships are mapped, as a strategy to characterize the connective action that preconfigures a collaborative and convergent activism, based on ethno-cultural, ecological-territorial and human rights claims.


2016 ◽  
Vol 20 (2) ◽  
pp. 268-298 ◽  
Author(s):  
Trenton A. Williams ◽  
Dean A. Shepherd

This article outlines a mixed method approach to social network analysis combining techniques of organizational history development, inductive data structuring, and content analysis to offer a novel approach for network data construction and analysis. This approach provides researchers with a number of benefits over traditional sociometric or other interpersonal methodologies including the ability to investigate networks of greater scope, broader access to diverse social actors, reduced informant bias, and increased capability for longitudinal designs. After detailing this approach, we apply the method on a sample of 143 new ventures and suggest opportunities for general application in entrepreneurship, strategic management, and organizational behavior research.


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.


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.


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