Towards a new methodological approach to social historiography of translation

2019 ◽  
Vol 8 (2) ◽  
pp. 231-256
Author(s):  
Nasrin Ashrafi ◽  
Mohammad Reza Hashemi ◽  
Hossein Akbari
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Methodological Approach ◽  
Structuration Theory ◽  
Literary Translation ◽  
Analysis Techniques ◽  
The Impact

Abstract In an attempt to appreciate the contribution that social network analysis (SNA) might offer to translation historiography, two main approaches are presented and discussed in this study: explanatory SNA and exploratory SNA. The former is more concerned with SNA measures while the latter deals with three potential narratives of social networks. The aim is to employ SNA in diachronic and synchronic dimensions of literary translation publishing historiography in Iran from 1991 to 2010, a micro-macro framework that seamlessly integrates agents’ relationships, visualization and network analysis techniques to explore the impact of ideological-political shifts on the quantity as well as quality of major agents’ relations. Furthermore, the study attempts to explore how the synergy between Giddens’ Structuration Theory (GST) and SNA can support a deeper and more empirically grounded understanding of translation historiography. The goal of the study is both methodological and scientific. The results of SNA graphical outputs suggest that there is a significant relationship between the structure of relationships in fiction publishing field and the dominant political discourse in Iran.

scholarly journals Eliciting data on social relationships: The use of hand-drawn network maps in tracing the perception of digitally mediated social ties

2016 ◽  
Vol 6 (4) ◽  
pp. 256-268 ◽  
Author(s):  
Cornelia Reyes
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Methodological Approach ◽  
Methodological Framework ◽  
Recall Data ◽  
The Impact ◽  
Convincing Data

Abstract The emergence of online social networking platforms established a new way of identifying ourselves as being related to other individuals. Previous research has looked at the impact these ‘networking’ applications have on individuals’ everyday lives. Nonetheless, obtaining convincing data on how individuals assess the quality of digitally mediated social relationships has often been perceived challenging. Drawing on a methodological framework rooted in a social network analysis approach, this paper traces the suitability of hand-drawn network maps for eliciting data on how individuals give meaning to digitally mediated social relationships by comparing it to traditional tools used in social network analysis. The results show that using hand-drawn network maps in this particular context provides respondents with a more tangible resource to recall data on digitally mediated social relationships. In particular, this methodological approach elicits substantial data on abstract thematic areas that are typically difficult to recall using standardised techniques.

Network Redundancy and Information Diffusion: The Impacts of Information Redundancy, Similarity, and Tie Strength

2016 ◽  
Vol 46 (2) ◽  
pp. 250-272 ◽  
Author(s):  
Hai Liang ◽  
King-wa Fu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Diffusion ◽  
Tie Strength ◽  
Information Redundancy ◽  
Ego Networks ◽  
Core Concepts ◽  
The Impact

It remains controversial whether community structures in social networks are beneficial or not for information diffusion. This study examined the relationships among four core concepts in social network analysis—network redundancy, information redundancy, ego-alter similarity, and tie strength—and their impacts on information diffusion. By using more than 6,500 representative ego networks containing nearly 1 million following relationships from Twitter, the current study found that (1) network redundancy is positively associated with the probability of being retweeted even when competing variables are controlled for; (2) network redundancy is positively associated with information redundancy, which in turn decreases the probability of being retweeted; and (3) the inclusion of both ego-alter similarity and tie strength can attenuate the impact of network redundancy on the probability of being retweeted.

scholarly journals Measuring the value of the social network: analysis, quantitative approach, and application

2015 ◽  
Author(s):  
Sujata Jindal ◽  
Ritu Sindhu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Impact ◽  
Quantitative Approach ◽  
Social Data ◽  
The Social ◽  
The Impact ◽  
Day By Day

Social networks are growing day by day. Users of the social networks are generating values for these networks. All the users can’t be considered equal as they have different social network impact value. In this paper we analyze the social impact of a user and propose a method to estimate an individual’s worth to a social network in terms of impact. The mathematical evaluations show the effectiveness of our method. Based on the proposed method many applications can be built taking into consideration the impact any individual’s social profile has. We have tried to make various social data attributes more valuable and meaningful.

Social Network Analysis

2018 ◽  
pp. 1-18 ◽  
Author(s):  
Somya Jain ◽  
Adwitiya Sinha
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Techniques ◽  
Text Images ◽  
Application Specific

Over the last decade, technology has thrived to provide better, quicker, and more effective platforms to help individuals connect and disseminate information to other individuals. The increasing popularity of these networks and its huge content in the form of text, images, and videos provides new opportunities for data analytics in the context of social networks. This motivates data mining experts and researchers to deploy various mining apparatus and application-specific tools for analysing the massive, intricate, and dynamic social media knowledge. The research detailed in this chapter would entail major social network concepts with data analysis techniques. Moreover, it gives insight to representation and modelling of social networks with research datasets and tools.

Contemporary Gold Rush or Scientific Advancement

2015 ◽  
pp. 210-226
Author(s):  
Darren Quinn ◽  
Liming Chen ◽  
Maurice Mulvenna
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Networks ◽  
Interaction Analysis ◽  
Rapid Evolution ◽  
Gold Rush ◽  
Community Interactions ◽  
The Impact

Following the expansion and mass adoption of Online Social Networks, the impact upon the domain of Social Network Analysis has been a rapid evolution in terms of approach, developing sophisticated methods to capture and understand individual and community interactions. This chapter provides a comprehensive review, examining state-of-the-art Social Network Analysis research and practices, highlighting key trends within the domain. In section 1, the authors examine the growing awareness concerning data as a marketable and scientific commodity. Section 2 reviews the context of Online Social Networking, highlighting key approaches for analysing Online Social Networks. In section 3, they consider modelling motivations of networks, discussing models in line with tie formation approaches. Section 4 outlines data collection approaches along with common structural properties observed in related literature. The authors discuss future directions and emerging approaches, notably semantic social networks and social interaction analysis before conclusions are provided.

scholarly journals Seeing change in urban informal settlements with social network analysis

2020 ◽  
pp. 095624782095375
Author(s):  
Eric Kasper
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Action Research ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Community Organizing ◽  
Informal Settlements ◽  
Urban Informal Settlements ◽  
Relationship Structures ◽  
The Impact

This paper examines the changes to social networks of people living in seven informal settlements in Raipur, India, who, in line with the “Indian Alliance” model of community organizing, worked with NGO partners to form local associations in their settlements. These associations were meant to help the participants and their fellow settlement residents to access more secure housing through the Rajiv Awas Yojana (RAY) policy. This paper presents findings from a quantitative social network analysis, demonstrating the impact of the organizing efforts in reshaping their relationship structures and strengthening their agency. These findings were tested for resonance and further fleshed out with qualitative details by going through the analysis with participants. Finally, this paper offers reflections on incorporating technical research methods into organizing and action research interventions, affirming the notion that people living in informal settlements are well placed to generate and make use of sophisticated data on their own communities and cities.

Social network analysis and the internationalization of SMEs

2015 ◽  
Vol 27 (6) ◽  
pp. 554-572 ◽  
Author(s):  
José Carlos Pinho ◽  
Miguel Linhares Pinheiro
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Methodological Approach ◽  
Relevant Literature ◽  
Illustrative Case ◽  
Content Type ◽  
Complex Interactions ◽  
Multiple Case

Purpose – This paper highlights the relevance of using social network analysis (SNA) as a different methodological approach to understand the numerous complex interactions that take place within the internationalization process. Design/methodology/approach – The paper is divided into three major sections: First, it identifies relevant articles on social networks published in appropriate academic journals; second, the process leading to SNA is presented; third, an illustrative case is described to show the relevance of SNA within the context of international business. Findings – Drawing on relevant literature, the authors found that most studies in the field of social networks and internationalization rely on conventional research methods based on qualitative (e.g. multiple case studies) or quantitative studies (e.g. surveys). Without questioning the relevance of these methods, the authors claim that very few studies have used the SNA methodology, which is based on a sociometric approach addressing the interactional dynamics embedded in international relationships. Originality/value – Specifically, this paper attempts to analyze the major advantages and shortcomings of the SNA methodology, which may be useful to understand interactional (or relational) effects associated with an internationalization strategy.

scholarly journals Measuring the value of the social network: analysis, quantitative approach, and application

2015 ◽  
Author(s):  
Sujata Jindal ◽  
Ritu Sindhu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Impact ◽  
Quantitative Approach ◽  
Social Data ◽  
The Social ◽  
The Impact ◽  
Day By Day

Social networks are growing day by day. Users of the social networks are generating values for these networks. All the users can’t be considered equal as they have different social network impact value. In this paper we analyze the social impact of a user and propose a method to estimate an individual’s worth to a social network in terms of impact. The mathematical evaluations show the effectiveness of our method. Based on the proposed method many applications can be built taking into consideration the impact any individual’s social profile has. We have tried to make various social data attributes more valuable and meaningful.

scholarly journals Combining social network analysis and agent-based modelling to explore dynamics of human interaction: A review

2020 ◽  
Vol 2 ◽  
pp. 16325 ◽  
Author(s):  
Meike Will ◽  
Jürgen Groeneveld ◽  
Karin Frank ◽  
Birgit Müller
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Human Interaction ◽  
Extensive Literature ◽  
Agent Based Models ◽  
Agent Based ◽  
Agent Based Modelling ◽  
The Impact

Agent-based modelling (ABM) and social network analysis (SNA) are both valuable tools for exploring the impact of human interactions on a broad range of social and ecological patterns. Integrating these approaches offers unique opportunities to gain insights into human behaviour that neither the evaluation of social networks nor agent-based models alone can provide. There are many intriguing examples that demonstrate this potential, for instance in epidemiology, marketing or social dynamics. Based on an extensive literature review, we provide an overview on coupling ABM with SNA and evaluating the integrated approach. Building on this, we identify current shortcomings in the combination of the two methods. The greatest room for improvement is found with regard to (i) the consideration of the concept of social integration through networks, (ii) an increased use of the co-evolutionary character of social networks and embedded agents, and (iii) a systematic and quantitative model analysis focusing on the causal relationship between the agents and the network. Furthermore, we highlight the importance of a comprehensive and clearly structured model conceptualization and documentation. We synthesize our findings in guidelines that contain the main aspects to consider when integrating social networks into agent-based models.

Introduction

2020 ◽  
pp. xxii-13
Author(s):  
Ryan Light ◽  
James Moody
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Social Life ◽  
New Directions ◽  
Central Paradigm

This chapter provides an introduction to this volume on social networks. It argues that social network analysis is greater than a method or data, but serves as a central paradigm for understanding social life. The chapter offers evidence of the influence of social network analysis with a bibliometric analysis of research on social networks. This analysis underscores how pervasive network analysis has become and highlights key theoretical and methodological concerns. It also introduces the sections of the volume broadly structured around theory, methods, broad conceptualizations like culture and temporality, and disciplinary contributions. The chapter concludes by discussing several promising new directions in the field of social network analysis.

Sign in / Sign up

Export Citation Format

Share Document