scholarly journals An Exploratory Qualitative Study on People’s Attitudes towards Offline and Online Social Networks: A Case Study at a Brazilian University

2015 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Maria Lucia B. Villela ◽  
Simone I. R. Xavier ◽  
Raquel Oliveira Prates ◽  
Marcos O. Prates ◽  
Antonio A. P. Prates ◽  
...  
Keyword(s):  
Social Networks ◽  
Qualitative Study ◽  
Online Social Networks ◽  
Physical World ◽  
Significant Discrepancy ◽  
Design Decisions ◽  
Online Networks ◽  
People’S Attitudes ◽  
Privacy Issues

Social networks have emerged as a new medium for sharing and exchanging information. As such, it brings new possibilities and challenges to people’s interaction. In this work, we have investigated through a qualitative study one of these challenges: how people perceive and deal with privacy in online networks, as opposed to the physical world. Our findings from interviewing Facebook users show that although they perceive the online and offline worlds as connected, there is a significant discrepancy between their attitudes towards privacy in online and offline social networks, as well as strategies developed to deal with some of the experienced issues. Based on these findings, we discuss how design decisions are related to privacy issues identified through the interviews and considerations for the design and evaluation of online social networks.

scholarly journals Debate on online social networks at the time of COVID-19: An Italian case study

2021 ◽  
Vol 23 ◽  
pp. 100136
Author(s):  
Martino Trevisan ◽  
Luca Vassio ◽  
Danilo Giordano
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Italian Case

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 Awesome women and bad feminists: the role of online social networks and peer support for feminist practice in academia

2019 ◽  
Vol 27 (3) ◽  
pp. 415-435
Author(s):  
Hannah Bayfield ◽  
Laura Colebrooke ◽  
Hannah Pitt ◽  
Rhiannon Pugh ◽  
Natalia Stutter
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Peer Support ◽  
Online Social Networks ◽  
Online Collaboration ◽  
Online Networks ◽  
Feminist Practice ◽  
Digital Spaces

In her book, ‘Bad Feminist’, Roxane Gay claims this label shamelessly, embracing the contradictory aspects of enacting feminist practice while fundamentally being ‘flawed human[s]’. This article tells a story inspired by and enacting Roxane Gay’s approach in academia, written by five cis-gendered women geographers. It is the story of a proactive, everyday feminist initiative to survive as women in an academic precariat fuelled by globalised, neoliberalised higher education. We reflect on what it means to be (bad) feminists in that context, and how we respond as academics. We share experiences of an online space used to support one another through post-doctoral life, a simple message thread, which has established an important role in our development as academics and feminists. This article, written through online collaboration, mirrors and enacts processes fundamental to our online network, demonstrating the significance and potential of safe digital spaces for peer support. Excerpts from the chat reflect critically on struggles and solutions we have co-developed. Through this, we celebrate and validate a strategy we know that we and others like us find invaluable for our wellbeing and survival. Finally, we reflect on the inherent limitations of exclusive online networks as tools for feminist resistance.

Data mining and social web semantics: a case study on the use of hashtags and memes in Online Social Networks

2017 ◽  
Vol 15 (12) ◽  
pp. 2276-2281 ◽  
Author(s):  
Pedro Pinto ◽  
Ingrhid Theodoro ◽  
Marcos Arrais ◽  
Jonice Oliveira
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Online Social Networks ◽  
Social Web

scholarly journals Comunidades em redes sociais na internet: um estudo de caso dos fotologs brasileiros | Communities in Social Networks on the internet: a case study of Brazilian photologs

2008 ◽  
Vol 4 (1) ◽  
Author(s):  
Raquel Recuero
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Social Ties ◽  
Online Social Network ◽  
Virtual Community ◽  
Capital Social ◽  
Social Forms ◽  
Computer Mediated

Resumo Redes sociais online são grupos de atores que se constituem através da interação mediada pelo computador. Essas interações são capazes de estabelecer novas formas sociais de grupos e comunidades. Através da discussão de diversos conceitos de comunidade e comunidade virtual, propõe-se o estudo das comunidades virtuais como uma forma de rede social. Esse debate teórico é discutido então no campo de estudo constituído pelo Fotolog, durante os anos de 2005 e 2006. O fotolog é um sistema que permite aos usuários a publicação de fotografias, textos e comentários. Dos dados coletados através de formas qualitativas e quantitativas, propomos uma tipologia para as comunidades virtuais baseada em sua estrutura (a rede em si) e sua composição (tipos de laços sociais e capital social). Esses tipos são definidos como comunidades virtuais emergentes, comunidades virtuais de associação e comunidades virtuais híbridas.Palavras-chave redes sociais, comunidades virtuais, fotolog.Abstract Online social networks are groups of actors formed by computer-mediated social interaction. These interactions are capable of establishing new social forms of groups and communities. Based on a discussion over several concepts of community and virtual community we propose the virtual community as a specific form of online social network. This theoretical debate is brought to the field studying the system named Fotolog during 2005 and 2006. Fotolog (www.fotolog.com) is a web service that allows for its users to post photographs or images with an associated text and other users may comment on each other’s posts. From the collected data, we propose a typology for communities found in these networks, based on their structure (network) and composition (social ties and social capital). We define three types of communities as associative virtual communities, emergent virtual communities and hybrid virtual communities.Keywords social networks, virtual communities, fotolog. 

scholarly journals Modern Social Support Structures: Online Social Networks and their Implications for Social Workers

10.18060/198 ◽  
2009 ◽  
Vol 10 (2) ◽  
pp. 157-175 ◽  
Author(s):  
Kala Chakradhar ◽  
Victor Raj ◽  
Arabella Raj
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Workers ◽  
Online Social Networks ◽  
Intervention Strategy ◽  
Academic Disciplines ◽  
First Year ◽  
First Year Students ◽  
Web Based ◽  
Online Networks

Mapping and assessing social networks and the quality of their social support is a valuable intervention strategy for social workers. These networks have now spread onto the digital realm in the form of Online Social Networks (OSNs). This study investigated the nature of social support provided by such networks to their users in a rural mid-South University (USA) and explored parallels with the current understanding of social support in conventional social networks. A web-based survey administered to college students revealed that users of these online networks were predominantly undergraduate first year students, female, single, unemployed and from a variety of academic disciplines. The examination of the components of OSNs appears to mirror those of offline networks. They also seem to complement the effects of each other while contributing to an individual's support system. The paper concludes with critical implications of such online social networking for University students and social workers in practice and education.

scholarly journals Security and Privacy Issues of Big Data

2019 ◽  
pp. 375-407
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

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