scholarly journals Strategies for Interaction with the Russians in the Tatar Virtual Communities (by the Example of the Social Network “VKontakte”)

Manuscript ◽  
2021 ◽  
pp. 1112-1116
Author(s):  
Zufar Alexandrovich Makhmutov ◽  
◽  
Tatiana Alekseevna Titova ◽  
Keyword(s):  
Social Network ◽  
Virtual Communities ◽  
The Social

Assessing the Social Network Health of Virtual Communities

2011 ◽  
pp. 715-730
Author(s):  
David Hinds ◽  
Ronald M. Lee
Keyword(s):  
Social Network ◽  
Virtual Communities ◽  
Virtual Community ◽  
Social Capital Theory ◽  
Software Project ◽  
Capital Theory ◽  
Community Archives ◽  
The Social ◽  
The Status ◽  
Development And Validation

In this chapter, the authors suggest how measures of “social network health” can be used to evaluate the status and progress of a virtual community. Using social capital theory as a foundation, the authors describe community health as the general condition of a community leading toward its advancement or decline, and show how social network analytical measures can be applied to existing virtual community archives to measure social network health. They describe the metric development and validation process and use their empirical study of 143 open source software project communities to illustrate how this process can be applied. Their hope is social network health metrics will be devised and integrated into host platforms for various types of virtual communities, thus providing socio-technical system designers and community managers with a valuable new diagnostic tool for tracking the status and progress of their communities.

Exploring Virtual Communities with the Internet Community Text Analyzer (ICTA)

2011 ◽  
pp. 205-223 ◽  
Author(s):  
Anatoliy Gruzd
Keyword(s):  
Social Network ◽  
Virtual Communities ◽  
Virtual Community ◽  
Automated Analysis ◽  
Network Data ◽  
Web Based ◽  
Social Network Data ◽  
Network Discovery ◽  
The Social ◽  
Web Based System

The chapter presents a new web-based system called ICTA (http://netlytic.org) for automated analysis and visualization of online conversations in virtual communities. ICTA is designed to help researchers and other interested parties derive wisdom from large datasets. The system does this by offering a set of text mining techniques coupled with useful visualizations. The first part of the chapter describes ICTA’s infrastructure and user interface. The second part discusses two social network discovery procedures used by ICTA with a particular focus on a novel content-based method called name networks. The main advantage of this method is that it can be used to transform even unstructured Internet data into social network data. With the social network data available it is much easier to analyze, and make judgments about, social connections in a virtual community.

E-Business Perspectives through Social Networks

2011 ◽  
pp. 651-660
Author(s):  
Mahesh Raisinghani ◽  
Elon Marques
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Network Theory ◽  
Virtual Communities ◽  
Social Network Theory ◽  
The Internet ◽  
The Social ◽  
Use Of The Internet ◽  
New Research

This chapter is focused on some of the current research being conducted in the field of social network theory. The importance of studying the social network concepts is attached to a better understanding of individuals and how and why people interact with each other, as well as how technology and the Internet can affect this interaction. The social network theory field has grown significantly in the last years, and the use of the Internet and advanced computing technology has contributed to new research in this growing area. The first aspect to be covered is the social network theory and some applications for social networks. Also virtual communities, as well as the control over communications tools through social networks will be discussed. Finally, the technology side of social networks will be presented, as mobile social networks, internet social networking systems and e-business correlation, social network software and future trends of social networks. The main objective of this research is to illustrate the correlation between electronic (e-) business (of which e-government is a subset) and social networking.

Do Virtual Communities Have an Effect on the Social Network of Cancer Patients?

2013 ◽  
pp. 72-84
Author(s):  
Jan Marco Leimeister ◽  
Karin Janina Schweizer ◽  
Helmut Krcmar
Keyword(s):  
Social Network ◽  
Cancer Patients ◽  
Social Relationships ◽  
Online Communities ◽  
Information Exchange ◽  
Virtual Communities ◽  
Social Assistance ◽  
Social Needs ◽  
The Social ◽  
Virtual Relationships

This chapter presents the results of a study that investigates the determinants and effects of virtual communities on the development of social relationships within the social network of cancer patients. Influencing factors on the formation of virtual relationships and their effect in the form of social assistance are researched. Following an explorative approach, it is examined whether online communities meet their theoretical potential to provide an environment where social relationships can be established that help cancer patients to cope with their situation. The study shows that virtual relationships for patients are established in VCs and play an important role in meeting patients’ social needs. Important determinants for the formation of virtual relationships within virtual communities for patients are general internet usage intensity (active posting vs. lurking) and the perceived disadvantages of CMC. We also found that virtual relationships have a strong effect on virtual support of patients; more than 61% of the variance of perceived social assistance of cancer patients was explained by cancer-related VCs. Emotional support and information exchange delivered through these virtual relationships may help patients to better cope with their illness. Deduced from these results, recommendations for patients using online communities and providers administrating online communities are outlined.

E-Business Perspectives through Social Networks

2010 ◽  
pp. 324-333
Author(s):  
Mahesh Raisinghani ◽  
Elon Marques
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Network Theory ◽  
Virtual Communities ◽  
Social Network Theory ◽  
The Internet ◽  
The Social ◽  
Use Of The Internet ◽  
New Research

This chapter is focused on some of the current research being conducted in the field of social network theory. The importance of studying the social network concepts is attached to a better understanding of individuals and how and why people interact with each other, as well as how technology and the Internet can affect this interaction. The social network theory field has grown significantly in the last years, and the use of the Internet and advanced computing technology has contributed to new research in this growing area. The first aspect to be covered is the social network theory and some applications for social networks. Also virtual communities, as well as the control over communications tools through social networks will be discussed. Finally, the technology side of social networks will be presented, as mobile social networks, internet social networking systems and e-business correlation, social network software and future trends of social networks. The main objective of this research is to illustrate the correlation between electronic (e-) business (of which e-government is a subset) and social networking.

Assessing the Social Network Health of Virtual Communities

2009 ◽  
pp. 669-684 ◽  
Author(s):  
David Hinds ◽  
Ronald M. Lee
Keyword(s):  
Social Network ◽  
Virtual Communities ◽  
Virtual Community ◽  
Social Capital Theory ◽  
Software Project ◽  
Capital Theory ◽  
Community Archives ◽  
The Social ◽  
The Status ◽  
Development And Validation

In this chapter, the authors suggest how measures of “social network health” can be used to evaluate the status and progress of a virtual community. Using social capital theory as a foundation, the authors describe community health as the general condition of a community leading toward its advancement or decline, and show how social network analytical measures can be applied to existing virtual community archives to measure social network health. They describe the metric development and validation process and use their empirical study of 143 open source software project communities to illustrate how this process can be applied. Their hope is social network health metrics will be devised and integrated into host platforms for various types of virtual communities, thus providing socio-technical system designers and community managers with a valuable new diagnostic tool for tracking the status and progress of their communities.

scholarly journals Discourse analysis of the American working youth communities on the social network Reddit

2021 ◽  
Vol 1 (1) ◽  
pp. 100-113
Author(s):  
Vladislav Yu. Bocharov
Keyword(s):  
Social Network ◽  
Discourse Analysis ◽  
Virtual Communities ◽  
Online Communication ◽  
Discursive Space ◽  
Global Pandemic ◽  
The Social ◽  
The Stability ◽  
High Level ◽  
Conditions Of Employment

The article discusses the working conditions and employment of American working youth during the global pandemic (2020) within the discursive space of the online communities of the social network Reddit. The aim of the study was to conduct a discourse-analysis of professional virtual communities of American working youth. The main tasks were to analyze the specifics of the language of online communication of American working youth, to identify the main problems of employment and labor relations relevant to young Americans, to find out how much American working youth identify with the working class, and to study its class interests, class positions and feelings of solidarity. Infrequent (basic) and frequent (additional) content analyses were used to analyze empirical information (143 text and visual posts in 11 communities of the social network Reddit). The results of the study draw conclusions about the presence of a specific language of communication, similar conditions of employment and living standards, the stability of class positions and the high level of virtual solidarity of American working youth. Comparison of the data obtained with the results of our previous study of virtual communities of Russian working youth allows us to tell about the similarities and differences between American and Russian youth. The main common feature characteristic of both (American and Russian) working youth is the presence of their own group identity.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

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