Dialogic Creation of the Popular Canon and Social Capital on Twitter

2021 ◽  
Vol 98 (10) ◽  
pp. 981-1000
Author(s):  
ÀNGELS FRANCÉS-DÍEZ
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
The Internet ◽  
Literary Canon

Although the literary canon has long been a subject of discussion, changes brought about by the rise of the Internet and social networks invite an overall rethinking of the mechanisms of its creation and, above all, of rankings that originate outside the Academy. The emergence of Twitter as a social network, characterized by immediacy and brevity, offers an interesting environment for examining the dialogic dynamics of canon creation (Fishelov) and social capital (Bourdieu) among its users. This article examines the correlation between the dialogues prompted on Twitter about new book releases and their sales figures and the dynamics of creating an alternative canon to that of the Academy. The research takes the form of a case study: the Dia Mundial del Libro, or Dia del Llibre in Catalan, which brings together the Hispanic literary ecosystem in Barcelona on the Dia de Sant Jordi.

Social Networks on the Internet

2011 ◽  
pp. 108-127
Author(s):  
Débora Pereira
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Method ◽  
Network Society ◽  
The Internet ◽  
The Military

Social Network Analysis – SNA is a hybrid research method used here to systematize a network of relationships around the collective transnational flux of information via the micro-blog service Twitter. The case studied is the exile of Peruvian indigenous leader Alberto Pizango to Nicaragua, and the conflicts between Indians and the military in May and June 2009 in Bagua, in the Amazon. To historically and politically contextualize the object of this case study in the so-called “Network society”, concepts about globalization, ubiquity, and spatial and informational connectivity are employed. The method of Social Network Analysis is described in detail, with attention to the possibilities of visualization and of patterns of connections and identification of ideological values of actors in the network.

MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

2016 ◽  
Vol 79 (3) ◽  
pp. 315-330 ◽  
Author(s):  
Koenraad Brosens ◽  
Klara Alen ◽  
Astrid Slegten ◽  
Fred Truyen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Early Modern ◽  
Data Model ◽  
Art History ◽  
Digital Art ◽  
Unique Data ◽  
Network Research ◽  
Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

Analyzing Teachers’ Professional Interactions in a School as Social Capital: A Social Network Approach

2009 ◽  
Vol 111 (1) ◽  
pp. 124-163 ◽  
Author(s):  
William Penuel ◽  
Margaret Riel ◽  
Ann Krause ◽  
Kenneth Frank
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Capital Theory ◽  
Professional Communities ◽  
Capital Theory ◽  
Case Study Methodology ◽  
Effect Change ◽  
Teacher Professional ◽  
Different Levels

Background/Context Researchers have proposed a number of lenses for analyzing teacher professional communities in recent years. These lenses have been useful in describing key dynamics of professional communities; however, none provides a compelling approach to how to integrate data from the school as a whole with case study data on individual interactions to create a coherent account of the structure and dynamics of teacher professional communities. Objective Our objective was to present and illustrate the application of social capital theory for analyzing the role of formal and informal teacher interactions in helping teachers enact changes to instruction associated with ambitious school reforms. Social capital theory posits that valued resources and expertise are embedded within social networks and that it is through social ties that one gains access to and can make use of resources to effect change. The network perspective directs researchers to focus simultaneously on the overall social structure of a school and on the expertise and resources exchanged through interactions among teachers that take place in meetings, staff rooms, hallways, and classrooms. Setting Our illustrations are contrasting cases of teacher communities in two elementary schools in California. In both school communities, the principals were committed to the idea of fostering greater interaction among colleagues as a strategy to improve literacy instruction. Both schools had similar levels of resources to support their goals through external funding from the state, but the schools had had different levels of success in implementing their reforms at the time of the study. Research Design We used an explanatory case study methodology that relied on social network, survey, and interview methods as sources of evidence for several alternative hypotheses relating to how the distribution of resources and expertise may have contributed to these schools’ different levels of success in implementing their reforms. Conclusions/Recommendations The comparative case analysis of the two schools provided evidence that analyzing the internal structure of the school community was necessary to help account for the distribution of access to resources and expertise in these two schools. Moreover, there was some evidence from survey and network data that the distribution of valued resources and expertise was related to the level of change observed in each school.

Case Study

2021 ◽  
pp. 345-366
Author(s):  
Magy Seif El-Nasr ◽  
Truong Huy Nguyen Dinh ◽  
Alessandro Canossa ◽  
Anders Drachen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
User Research ◽  
Social Games ◽  
Work Done

This chapter discusses Social Network Analysis, a technique used to analyze social networks within social games as a method to enhance retention in games. We will show how one can use this method by applying it to the problem of retention within the game Tom Clancy’s The Division (TCTD). Using the game and the analysis will help you understand how to use SNA to understand types of players and influential players, and, as a result, understand how to engage different players, especially influencers, to increase retention. While the chapter will focus on the use of SNA for TCTD as a case study, the methods discussed under SNA can be applied to other types of games. Please note that this chapter is an extension of the work done by several collaborators to the authors, including Casper Harteveld (professor, Northeastern University), Sebastian Deterding (professor, York University), and Ahmad Azadvar (User Research Lead at Ubisoft Massive), and the work was accomplished with the support of Ubisoft, the Games Lab, and the Live Ops team at Massive Entertainment.

Promoting intangible cultural heritage through social networks: a case study of the Fête de l'ours in France.

2021 ◽  
pp. 210-227
Author(s):  
Jordi Arcos-Pumarola ◽  
Marta Conill-Tetuà
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Best Practices ◽  
Cultural Heritage ◽  
Cultural Relevance ◽  
Intangible Cultural Heritage ◽  
The South ◽  
Rural Villages

Abstract Considering the cultural relevance of ICH and its meanings for communities, and the fact that it is increasingly becoming an asset of destinations in promoting tourism, the use of ICH in social networks must be put in the spotlight to identify best practices of transmitting the meanings of ICH through social networks. An analysis of the use of ICH in the context of social networks will also illuminate which particular tourist image is being transmitted by the various agents and stakeholders that interact with social networks. In this vein, this chapter will present a case study based on the Fête de l'Ours, a celebration performed in three rural villages in the south of France, looking at how it is explained within a particular social network, namely, Instagram. In this way, the case study will aim to: (i) identify the elements of the festivity that are highlighted by locals and visitors in their Fête de l'Ours account on Instagram; and (ii) analyse how locals, visitors and stakeholders explain and share the experience of the festival.

Emergent Data Mining Tools for Social Network Analysis

2015 ◽  
pp. 1539-1556
Author(s):  
Dhiraj Murthy ◽  
Alexander Gross ◽  
Alex Takata
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Online Social Networks ◽  
Data Extraction ◽  
Future Directions ◽  
Effective Development ◽  
Mining Tools

This chapter identifies a number of the most common data mining toolkits and evaluates their utility in the extraction of data from heterogeneous online social networks. It introduces not only the complexities of scraping data from the diverse forms of data manifested in these sources, but also critically evaluates currently available tools. This analysis is followed by a presentation and discussion on the development of a hybrid system, which builds upon the work of the open-source Web-Harvest framework, for the collection of information from online social networks. This tool, VoyeurServer, attempts to address the weaknesses of tools identified in earlier sections, as well as prototype the implementation of key functionalities thought to be missing from commonly available data extraction toolkits. The authors conclude the chapter with a case study and subsequent evaluation of the VoyeurServer system itself. This evaluation presents future directions, remaining challenges, and additional extensions thought to be important to the effective development of data mining tools for the study of online social networks.

The influence of personality traits and social networks on the self-disclosure behavior of social network site users

2016 ◽  
Vol 26 (3) ◽  
pp. 566-586 ◽  
Author(s):  
Xi Chen ◽  
Yin Pan ◽  
Bin Guo
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Personality Traits ◽  
Personal Information ◽  
The Self ◽  
Social Network Site ◽  
Self Disclosure ◽  
Content Type ◽  
Network Site

Purpose – The purpose of this paper is to determine the influence and interaction of social networks and personality traits on the self-disclosure behavior of social network site (SNS) users. According to social capital theory and the Big Five personality model, the authors hypothesized that social capital factors would affect the accuracy and amount of self-disclosure behavior and that personality traits would moderate this effect. Design/methodology/approach – A survey was conducted to collect data from 207 SNS users. The questionnaire was administered in university classrooms and libraries and via e-mail. The measurement model and structural model were examined by using LISREL 8.8 and SmartPLS 2.0. Findings – Based on the path analysis, the authors identified several interesting patterns to explain self-disclosure behavior on SNSs. First, the centrality of SNS users has a positive effect on their amount of self-disclosure. Moreover, people who are more extroverted disclose personal information that is more accurate with the level of the cognitive dimension held constant and disclose a greater amount of personal information with the level of the structural dimension held constant. From a practical perspective, the results may provide useful insight for companies operating SNSs. Originality/value – This study analyzed the influence of social capital factors on SNS users’ self-disclosure, as well as the interactions between personality and social capital factors. Specifically, the authors examined six important variables of social capital divided into three dimensions. This research complements current research on SNSs by focusing on SNS users’ motivation to disclose self-related information in addition to information sharing.

scholarly journals Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Opinion Leaders ◽  
Information Flows ◽  
Network Metrics ◽  
Network Analysis Metrics

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.

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