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.

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.

scholarly journals The Application of Social Networks in Assisting out-of-class Interactions: A case Study of the Faculty of Economics and Business Administration, Dalat University

2017 ◽  
Vol 33 (3) ◽  
Author(s):  
Nguyen Van Tuan ◽  
Nguyen Thanh Hong An
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Teaching And Learning ◽  
Business Administration ◽  
Positive Feedbacks ◽  
Pilot Scheme ◽  
Academic Activities ◽  
The Social ◽  
Academic Year

The purpose of this study is to evaluate the application of social networks in assisting out-of-class interactions in the context of Vietnam. A group of lecturers and students from the Faculty of Economics and Business Administration, Dalat University was chosen to participate in a pilot scheme, using a social network called Edmodo to assist the out-of-class interactions between lecturers and students in the courses in charge in one academic year. The results show that the social network improves the efficiency of out-of-class interactions among participants and receive positive feedbacks from both students and lecturers. The results also indicate that the use of social networks in education is feasible and will improve the teaching and learning efficiency. However, the results also suggest that lecturers should carefully plan academic activities and provide students with proper incentives to motivate their participation into the class online interactive activities.

scholarly journals Coworking spaces and virtual learning communities in Social Networks: Case Study of #ElClaustroDeIG on Instagram

Aula Abierta ◽  
2021 ◽  
Vol 50 (1) ◽  
pp. 453-464
Author(s):  
Raquel Gómez-Martínez ◽  
Luis M. Romero-Rodríguez
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Learning Communities ◽  
Preschool Education ◽  
Virtual Learning ◽  
Ideal Space ◽  
Good Practices ◽  
Patterns Of Use ◽  
The Impact

Social networks are consolidated as spaces for the exchange of valuable content. It is not surprising to find spaces for the exchange of good teaching practices in virtual learning communities, so the objective of this study is to analyze, through the case study of #ElClaustrodeIG on Instagram, the educational content focused on teaching that is shared for the Ibero-American community in Spanish, as well as the analysis of the users who share their experiences and good practices in this social network. In order to do this, content analysis is first carried out, through an analysis sheet to 300 posts and a questionnaire is applied to 130 users of this hashtag on Instagram in order to analyze their patterns of use, their interests and motivations, their training in ICT and social networks, as well as the impact that the use of this social network has on their professional development and the gratification they expect. The results show that most of the publications are about good practices for primary and preschool education while most of the users think that Instagram is an ideal space for non-formal learning, applying in the classrooms many of the good practices shared in this coworking space. 

Social Network

2012 ◽  
pp. 8-24
Author(s):  
Roby Muhamad
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Large Scale ◽  
The Internet ◽  
Computing Power ◽  
Network Research ◽  
Social Entities

Social network concerns the study of the structure of the patterns of relations among social entities. The study of social networks has a long history starting around 1930s when psychologist Moreno conducted the first known sociometric survey. Since then, the field of social network, first developed in sociology, has grown both empirically and theoretically, especially toward the end of the last century. The advent of powerful computing power and the Internet spurred growth on social network research. This combination of the proliferation of digital traces and increases in computing power provides opportunities to study large scale social networks and relevant dynamics.

scholarly journals Building New Approaches to Risk Reduction With Social Networks and People Who Smoke Illegal Drugs From Participatory Community-Based Research

2018 ◽  
Vol 17 (1) ◽  
pp. 160940691877124 ◽  
Author(s):  
Ehsan Jozaghi ◽  
Jane A. Buxton ◽  
Erica Thomson ◽  
Samona Marsh ◽  
Delilah Gregg ◽  
...  
Keyword(s):  
Social Networks ◽  
British Columbia ◽  
Social Network ◽  
Drug Use ◽  
Illegal Drug ◽  
Illegal Drugs ◽  
Community Based ◽  
Community Based Research ◽  
Illegal Drug Use ◽  
Network Research

Background: Global cases of overdose-related deaths attributed to synthetic opioids are reaching epidemic proportion in many jurisdictions. While the main focus of health agencies and the different levels of government has been to combat the cases linked to injection drug use, the deaths attributed to smoking illegal drugs have not gained the same attention. Moreover, little attention has been given to the role of people with past or current experiences of illegal drug use and how their social networks can mitigate the risk of a highly stigmatized behavior such as smoking illegal drugs. Methods: The study concerns the first social network research conducted via a community-based participatory action methodology in two distinct urban (Vancouver) and rural (Abbotsford) centers in British Columbia, Canada. The study will identify the influence of social networks on people who smoke illegal drugs (PWSID) and their adherence to interventions aimed at reducing harm. Through community consultations, members of the Vancouver Area Network of Drug Users and the British Columbia/Yukon Association of Drug War Survivors not only assisted with the design of this research project but also assisted with the data collection, management, protection and entry of demographic, and network information. Discussion: Many traditional qualitative and quantitative methods have not effectively engaged people who use drugs as researchers or collaborators due to stigma related to illegal drug use. The aim of this study is to recognize that everyone within the network of PWSID is a few steps away from harm. Therefore, we aim to reduce the harm associated with smoking of illegal drugs, especially for PWSID that are at the highest risk. At the same time, we hope that the social network research via a participatory community-based approach will mobilize PWSID in the process and offer a different method of knowledge construction from the traditional positivist approaches.

Design of a Data Model for Social Networks Applications

2009 ◽  
pp. 360-385
Author(s):  
Susanta Mitra ◽  
Aditya Bagchi ◽  
A. K. Bandyopadhyay
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Data Model ◽  
Generic Model ◽  
Social Community ◽  
Graph Data ◽  
Related Data ◽  
Network Applications ◽  
Object Relational ◽  
The Common

A social network defines the structure of a social community like an organization or institution, covering its members and their inter-relationships. Social relationships among the members of a community can be of different types like friendship, kinship, professional, academic etc. Traditionally, a social network is represented by a directed graph. Analysis of graph structure representing a social network is done by the sociologists to study a community. Hardly any effort has been made to design a data model to store and retrieve a social network related data. In this paper, an object-relational graph data model has been proposed for modeling a social network. The objective is to illustrate the power of this generic model to represent the common structural and node-based properties of different social network applications. A novel multi-paradigm architecture has been proposed to efficiently manage the system. New structural operators have been defined in the paper and the application of these operators has been illustrated through query examples. The completeness and the minimality of the operators have also been shown.

scholarly journals Playful Machines and Heritage: How to Prepare Future Cultural Histories?

Arts ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 82
Author(s):  
Mirosław Filiciak
Keyword(s):  
Art History ◽  
Social Groups ◽  
Social Activity ◽  
User Interaction ◽  
Digital Art ◽  
Digital Heritage ◽  
Art Practices ◽  
Digital Objects ◽  
Traditional Approaches

How are we to tackle digital heritage? The fact that its code can be copied, combined with a strong reliance on user interaction, is a distinguishing characteristic of digital art, one which also complicates framing it with the traditional categories of art history. Therefore, in my search for the new ways to preserve heritage, appropriate for digital objects, I will use a case study where technical and social elements play an important role and where we can already speak of a partly institutionalized network aimed at preservation, even if its identification within the field of art, or heritage, is not exactly obvious. I propose an analysis based on the research of the Polish community of pinball machine collectors. My case study will also address the question of the category of locality with regard to projects featuring seemingly universal digital elements. Reflecting on the strategies that the pinball community uses to preserve its artifacts and to animate social activity centered upon those artifacts, can help facilitate modeling at least some practices needed to preserve digital art, practices more inclusive than the traditional approaches, and uniting, even if imperfectly, rather than dividing various social groups.

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