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. 

Privacy and Security for Virtual Communities and Social Networks

2013 ◽  
pp. 19-31 ◽  
Author(s):  
Georgios Michaelides ◽  
Gábor Hosszú
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Personal Information ◽  
Rapid Development ◽  
Virtual Community ◽  
Privacy And Security ◽  
Internet Privacy ◽  
Large Audience ◽  
Privacy Risks

The importance of the virtual communities’ privacy and security problems comes into prominence by the rapid development of online social networks. This article presents the multiple threats currently plaguing the virtual world, Internet privacy risks, and recommendations and countermeasures to avoid such problems. New generations of users feel comfortable publishing their personal information and narrating their lives. They are often unaware how vulnerable the data in their public profiles are, which a large audience daily accesses. A so-called digital friendship is built among them. Such commercial and social pressures have led to a number of privacy and security risks for social network members. The article presents the most important vulnerabilities and suggests protection methods and solutions that can be utilized according to the threat. Lastly, the authors introduce the concept of a privacy-friendly virtual community site, named CWIW, where privacy methods have been implemented for better user protection.

Virtual Communities of Practice

2017 ◽  
Author(s):  
Mary Pender Greene
Keyword(s):  
Social Networks ◽  
Social Work ◽  
Communities Of Practice ◽  
Social Workers ◽  
Professional Practice ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Computer Mediated ◽  
Virtual Communities Of Practice

Sociologists and social workers have long been invested in understanding the role of communities in shaping identities and influencing behavior; however, the study of virtual communities is still new despite the dramatic ways in which online social networks have replaced traditional, geographically bound conceptions of community. The present article briefly reviews some of the early theories of community that have influenced practically all scholars studying computer-mediated virtual communities. The focus then shifts toward an analysis of early, important theorists focusing on virtual communities. The article concludes by examining contemporary research and practices utilizing virtual communities in social work, with a particular emphasis on ways to integrate virtual communities into professional practice.

Privacy and Security for Virtual Communities and Social Networks

2009 ◽  
Vol 1 (4) ◽  
pp. 21-32 ◽  
Author(s):  
Georgios Michaelides ◽  
Gábor Hosszú
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Personal Information ◽  
Rapid Development ◽  
Virtual Community ◽  
Privacy And Security ◽  
Internet Privacy ◽  
Large Audience ◽  
Privacy Risks

The importance of the virtual communities’ privacy and security problems comes into prominence by the rapid development of online social networks. This article presents the multiple threats currently plaguing the virtual world, Internet privacy risks, and recommendations and countermeasures to avoid such problems. New generations of users feel comfortable publishing their personal information and narrating their lives. They are often unaware how vulnerable the data in their public profiles are, which a large audience daily accesses. A so-called digital friendship is built among them. Such commercial and social pressures have led to a number of privacy and security risks for social network members. The article presents the most important vulnerabilities and suggests protection methods and solutions that can be utilized according to the threat. Lastly, the authors introduce the concept of a privacy-friendly virtual community site, named CWIW, where privacy methods have been implemented for better user protection.

Privacy and Security for Virtual Communities and Social Networks

2011 ◽  
pp. 1051-1062
Author(s):  
Georgios Michaelides ◽  
Gábor Hosszú
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Personal Information ◽  
Rapid Development ◽  
Virtual Community ◽  
Privacy And Security ◽  
Internet Privacy ◽  
Large Audience ◽  
Privacy Risks

The importance of the virtual communities’ privacy and security problems comes into prominence by the rapid development of online social networks. This article presents the multiple threats currently plaguing the virtual world, Internet privacy risks, and recommendations and countermeasures to avoid such problems. New generations of users feel comfortable publishing their personal information and narrating their lives. They are often unaware how vulnerable the data in their public profiles are, which a large audience daily accesses. A so-called digital friendship is built among them. Such commercial and social pressures have led to a number of privacy and security risks for social network members. The article presents the most important vulnerabilities and suggests protection methods and solutions that can be utilized according to the threat. Lastly, the authors introduce the concept of a privacy-friendly virtual community site, named CWIW, where privacy methods have been implemented for better user protection.

Artificial Neural Network Research in Online Social Networks

2018 ◽  
Vol 10 (4) ◽  
pp. 1-15
Author(s):  
Steven Walczak
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Social Networks ◽  
Artificial Neural Network ◽  
Artificial Neural Networks ◽  
Online Social Networks ◽  
Online Social Network ◽  
Virtual Community ◽  
Community Research ◽  
Artificial Neural

Artificial neural networks are a machine learning method ideal for solving classification and prediction problems using Big Data. Online social networks and virtual communities provide a plethora of data. Artificial neural networks have been used to determine the emotional meaning of virtual community posts, determine age and sex of users, classify types of messages, and make recommendations for additional content. This article reviews and examines the utilization of artificial neural networks in online social network and virtual community research. An artificial neural network to predict the maintenance of online social network “friends” is developed to demonstrate the applicability of artificial neural networks for virtual community research.

Artificial Neural Network Research in Online Social Networks

2022 ◽  
pp. 68-84
Author(s):  
Steven Walczak
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Social Networks ◽  
Artificial Neural Network ◽  
Artificial Neural Networks ◽  
Online Social Networks ◽  
Online Social Network ◽  
Virtual Community ◽  
Community Research ◽  
Artificial Neural

Artificial neural networks are a machine learning method ideal for solving classification and prediction problems using Big Data. Online social networks and virtual communities provide a plethora of data. Artificial neural networks have been used to determine the emotional meaning of virtual community posts, determine age and sex of users, classify types of messages, and make recommendations for additional content. This article reviews and examines the utilization of artificial neural networks in online social network and virtual community research. An artificial neural network to predict the maintenance of online social network “friends” is developed to demonstrate the applicability of artificial neural networks for virtual community research.

A study of blog networks to determine online social network properties from the tie strength perspective

2014 ◽  
Vol 38 (3) ◽  
pp. 381-398 ◽  
Author(s):  
Terry Hui-Ye Chiu ◽  
Chien-Chou Chen ◽  
Yuh-Jzer Joung ◽  
Shymin Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Online Social Network ◽  
Strong Association ◽  
Tie Strength ◽  
Content Type ◽  
Network Properties ◽  
Strength Perspective

Purpose – Most studies on tie strength have focused on its definition, calculation and applications, but have not paid much attention to how tie strength can help analyse online social networks. Because ties play different roles in a network depending on their strength, the purpose of this paper is to explore the relationship between tie strength and network behaviours. Design/methodology/approach – The authors propose a simple metric for tie strength measurement and then apply it to an online social network extracted from a blog network. These networks are massive in size and have technology for efficient data collection, thereby presenting the possibility of measuring tie strength objectively. From the results several key social network properties are studied to see how tie strength may be used as a metric to explain certain characteristics in social networks. Findings – The online networks exhibit all the structural properties of an actual social network, not only in following the power law but also with regard to the distribution of tie strength. The authors noted a strong association between tie strength and reciprocity, and tie strength and transitivity in online social networks. Originality/value – This paper highlights the importance of analysing online social networks from a tie strength perspective. The results have important implications for the development of efficient search mechanisms and appropriate group leaders in virtual communities.

scholarly journals How migrants manifest their transnational identity through online social networks: comparative findings from a case of Koreans in Germany

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunyoung Park ◽  
Lasse Gerrits
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Point Of View ◽  
Comparative Case Study ◽  
Transnational Identity ◽  
Transnational Identities ◽  
Web 3.0 ◽  
Situational Contexts

AbstractAlthough migration has long been an imperative topic in social sciences, there are still needs of study on migrants’ unique and dynamic transnational identity, which heavily influences the social integration in the host society. In Online Social Network (OSN), where the contemporary migrants actively communicate and share their stories the most, different challenges against migrants’ belonging and identity and how they cope or reconcile may evidently exist. This paper aims to scrutinise how migrants are manifesting their belonging and identity via different technological types of online social networks, to understand the relations between online social networks and migrants’ multi-faceted transnational identity. The research introduces a comparative case study on an online social movement led by Koreans in Germany via their online communities, triggered by a German TV advertisement considered as stereotyping East Asians given by white supremacy’s point of view. Starting with virtual ethnography on three OSNs representing each of internet generations (Web 1.0 ~ Web 3.0), two-step Qualitative Data Analysis is carried out to examine how Korean migrants manifest their belonging and identity via their views on “who we are” and “who are others”. The analysis reveals how Korean migrants’ transnational identities differ by their expectation on the audience and the members in each online social network, which indicates that the distinctive features of the online platform may encourage or discourage them in shaping transnational identity as a group identity. The paper concludes with the two main emphases: first, current OSNs comprising different generational technologies play a significant role in understanding the migrants’ dynamic social values, and particularly, transnational identities. Second, the dynamics of migrants’ transnational identity engages diverse social and situational contexts. (keywords: transnational identity, migrants’ online social networks, stereotyping migrants, technological evolution of online social network).

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

Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks

2021 ◽  
Vol 15 (3) ◽  
pp. 1-33
Author(s):  
Jingjing Wang ◽  
Wenjun Jiang ◽  
Kenli Li ◽  
Keqin Li
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Prediction Error ◽  
High Efficiency ◽  
Optimization Problems ◽  
Online Social Network ◽  
Reconstruction Error ◽  
Incremental Updating ◽  
Cp Decomposition ◽  
Error Accumulation

CANDECOMP/PARAFAC (CP) decomposition is widely used in various online social network (OSN) applications. However, it is inefficient when dealing with massive and incremental data. Some incremental CP decomposition (ICP) methods have been proposed to improve the efficiency and process evolving data, by updating decomposition results according to the newly added data. The ICP methods are efficient, but inaccurate because of serious error accumulation caused by approximation in the incremental updating. To promote the wide use of ICP, we strive to reduce its cumulative errors while keeping high efficiency. We first differentiate all possible errors in ICP into two types: the cumulative reconstruction error and the prediction error. Next, we formulate two optimization problems for reducing the two errors. Then, we propose several restarting strategies to address the two problems. Finally, we test the effectiveness in three typical dynamic OSN applications. To the best of our knowledge, this is the first work on reducing the cumulative errors of the ICP methods in dynamic OSNs.

Sign in / Sign up

Export Citation Format

Share Document