Optimization on Content Spread in Social Network Studies

2019 ◽  
pp. 273-284
Author(s):  
Yi Li ◽  
Ruidong Yan ◽  
Weili Wu
Keyword(s):  
Social Network ◽  
Network Studies

scholarly journals Research questions should drive edge definitions in social network studies

2015 ◽  
Vol 104 ◽  
pp. e7-e11 ◽  
Author(s):  
Alecia J. Carter ◽  
Alexander E.G. Lee ◽  
Harry H. Marshall
Keyword(s):  
Social Network ◽  
Research Questions ◽  
Network Studies

scholarly journals A Brief Overview of Social Network Analysis and its Current State within Romanian Sociology

2013 ◽  
Vol 3 (3) ◽  
pp. 5-11
Author(s):  
Marian-Gabriel Hâncean
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
International Relations ◽  
Early Spring ◽  
Research Topics ◽  
Political Sciences ◽  
Current State ◽  
Wide Range ◽  
Network Studies

Abstract The field of social network studies has been growing within the last 40 years, gathering scholars from a wide range of disciplines (biology, chemistry, geography, international relations, mathematics, political sciences, sociology etc.) and covering diverse substantive research topics. Using Google metrics, the scientific production within the field it is shown to follow an ascending trend since the late 60s. Within the Romanian sociology, social network analysis is still in his early spring, network studies being low in number and rather peripheral. This note gives a brief overview of social network analysis and makes some short references to the current state of the network studies within Romanian sociology

scholarly journals Social Network Analysis Visualization

2015 ◽  
pp. 257-270
Author(s):  
Mohana Shanmugam ◽  
Yusmadi Yah Jusoh ◽  
Rozi Nor Haizan Nor ◽  
Marzanah A. Jabar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Network ◽  
Future Research ◽  
Research Gaps ◽  
The Social ◽  
Network Studies ◽  
Academic Study

The social network surge has become a mainstream subject of academic study in a myriad of disciplines. This chapter posits the social network literature by highlighting the terminologies of social networks and details the types of tools and methodologies used in prior studies. The list is supplemented by identifying the research gaps for future research of interest to both academics and practitioners. Additionally, the case of Facebook is used to study the elements of a social network analysis. This chapter also highlights past validated models with regards to social networks which are deemed significant for online social network studies. Furthermore, this chapter seeks to enlighten our knowledge on social network analysis and tap into the social network capabilities.

I ♥ FB

2017 ◽  
Vol 9 (2) ◽  
pp. 46-61 ◽  
Author(s):  
Tom Robinson ◽  
Clark Callahan ◽  
Kristoffer Boyle ◽  
Erica Rivera ◽  
Janice K Cho
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Q Methodology ◽  
Uses And Gratifications ◽  
Online Social Network ◽  
Fourth Quarter ◽  
User Characteristics ◽  
The Individual ◽  
Network Studies

Virtually seductive qualities of identity sharing, content gratification, and ample social atmosphere have made Facebook the most popular social network, boasting 890 million daily users (“Facebook Reports Fourth Quarter,” 2015; Joinson, 2008; Orchard et al., 2014, Reinecke et al., 2014). Online social network studies largely overlook the individual, limiting the understanding of what exactly drives people to use, abuse, even become dependent on sites like Facebook. Based on the theory of uses and gratifications, Q methodology subjectively observes what draws users to Facebook, focusing specifically on Facebook user characteristics. Past studies neglect the existence of three of the four factor groups discovered in this study, making these effectually new discoveries for academia (Alloway, Runac, Quershi, & Kemp, 2014; Cheung, Chieu & Lee, 2011; Sheldon, 2008, Tosun, 2012; Yang & Brown, 2013). These findings increase understanding of online usage, even addiction, and will help cater future social networks to specific users.

Methods for Interdisciplinary Social Network Studies

2017 ◽  
pp. 3-20
Author(s):  
Xiaoming Fu ◽  
Jar-Der Luo ◽  
Margarete Boos
Keyword(s):  
Social Network ◽  
Network Studies

A model for the dynamics of face-to-face interactions in social groups

2020 ◽  
Vol 8 (S1) ◽  
pp. S4-S25 ◽  
Author(s):  
Marion Hoffman ◽  
Per Block ◽  
Timon Elmer ◽  
Christoph Stadtfeld
Keyword(s):  
Social Network ◽  
Social Groups ◽  
Social Contexts ◽  
Dyadic Interaction ◽  
Interpersonal Interaction ◽  
Interaction Patterns ◽  
Face To Face ◽  
Social Lives ◽  
Group Settings ◽  
Network Studies

AbstractFace-to-face interactions in social groups are a central aspect of human social lives. Although the composition of such groups has received ample attention in various fields—e.g., sociology, social psychology, management, and educational science—their micro-level dynamics are rarely analyzed empirically. In this article, we present a new statistical network model (DyNAM-i) that can represent the dynamics of conversation groups and interpersonal interaction in different social contexts. Taking an actor-oriented perspective, this model can be applied to test how individuals’ interaction patterns differ and how they choose and change their interaction groups. It moves beyond dyadic interaction mechanisms and translates central social network mechanisms—such as homophily, transitivity, and popularity—to the context of interactions in group settings. The utility and practical applicability of the new model are illustrated in two social network studies that investigate face-to-face interactions in a small party and an office setting.

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