General Network Properties of Friendship Online Social Network

2010 ◽  
pp. 41-50 ◽  
Author(s):  
Haris Memic
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
General Network ◽  
Network Properties

Online Social Network Analysis

2019 ◽  
pp. 50-63
Author(s):  
Praveen Kumar Bhanodia ◽  
Aditya Khamparia ◽  
Babita Pandey ◽  
Shaligram Prajapat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Networks ◽  
Online Social Network ◽  
Structural Features ◽  
Network Properties ◽  
Prediction Systems ◽  
And Behavior

Expansion of online social networks is rapid and furious. Millions of users are appending to it and enriching the nature and behavior, and the information generated has various dimensional properties providing new opportunities and perspective for computation of network properties. The structure of social networks is comprised of nodes and edges whereas users are entities represented by node and relationships designated by edges. Processing of online social networks structural features yields fair knowledge which can be used in many of recommendation and prediction systems. This is referred to as social network analysis, and the features exploited usually are local and global both plays significant role in processing and computation. Local features include properties of nodes like degree of the node (in-degree, out-degree) while global feature process the path between nodes in the entire network. The chapter is an effort in the direction of online social network analysis that explores the basic methods that can be process and analyze the network with a suitable approach to yield knowledge.

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.

Characteristic analysis of information propagation pattern in online social network

2013 ◽  
Vol 33 (1) ◽  
pp. 105-107 ◽  
Author(s):  
Jia HAN ◽  
Ruliang XIAO ◽  
Yao HU ◽  
Tao TANG ◽  
Lina FANG
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Information Propagation ◽  
Characteristic Analysis ◽  
Propagation Pattern

Facebooking Alone? Millennials’ Use of Social Network Sites and Volunteering

2019 ◽  
Vol 49 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Young-joo Lee
Keyword(s):  
Cohort Study ◽  
Social Network ◽  
Civic Engagement ◽  
Online Social Network ◽  
Social Network Sites ◽  
Positive Association ◽  
Prosocial Behaviors ◽  
Network Site ◽  
Facebook Use ◽  
Mixed Messages

The younger generation’s widespread use of online social network sites has raised concerns and debates about social network sites’ influence on this generation’s civic engagement, whether these sites undermine or promote prosocial behaviors. This study empirically examines how millennials’ social network site usage relates to volunteering, using the 2013 data of the Minnesota Adolescent Community Cohort Study. The findings reveal a positive association between a moderate level of Facebook use and volunteering, although heavy users are not more likely to volunteer than nonusers. This bell-shaped relationship between Facebook use and volunteering contrasts with the direct correlation between participation in off-line associational activities and volunteering. Overall, the findings suggest that it is natural to get mixed messages about social network sites’ impacts on civic engagement, and these platforms can be useful tools for getting the word out and recruiting episodic volunteers.

scholarly journals Teachers’ professional collaboration and trust relationships: An inferential social network analysis of teacher teams

2021 ◽  
pp. 003452372110315
Author(s):  
Nina Kolleck ◽  
Johannes Schuster ◽  
Ulrike Hartmann ◽  
Cornelia Gräsel
Keyword(s):  
Social Network ◽  
Teacher Collaboration ◽  
Classroom Practices ◽  
Research Literature ◽  
School Level ◽  
Teacher Teams ◽  
Exponential Random Graph Models ◽  
Network Analyses ◽  
Trust Relationships ◽  
General Network

In recent years, teachers around the world have been increasingly confronted with various expectations concerning the improvement of their classroom practices and school activities. One factor widely acknowledged to facilitate school and classroom improvement is a strong collaborative culture among teachers. As such, teachers are expected to work in teacher teams, to collaborate closely with colleagues, to co-construct classroom practices, and thus to strengthen trust relationships within the team. A growing number of researchers has analyzed how teachers address these expectations. They suggest that there is a link between teachers’ embeddedness in collaboration networks and teachers’ trust relationships. The present study seeks to contribute to the research literature by presenting results of Social Network Analyses (SNA) and exponential random graph models (ERGMs) on teacher collaboration in nine secondary schools in Germany (N = 366 teachers). We investigate how the involvement of teachers in co-constructive collaboration in schools, measured by the amount of team teaching (TT), relates to teachers’ trust levels. Results of our analyses suggest that a high amount of TT is not necessarily related to a higher degree of trust among teachers at the school level. However, a high involvement of teachers in TT is related positively to their being perceived as trustworthy. Furthermore, the emergence of trust relations in teacher networks depends on general network characteristics, such as homophily, reciprocity and transitivity.

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