Leaders or Followers? The Relationship between Social Status, Conformity, and Communication Patterns in Online Social Networks

2014 ◽  
Author(s):  
Edith Shalev ◽  
Hadas Eiges
Keyword(s):  
Social Networks ◽  
Social Status ◽  
Online Social Networks ◽  
Communication Patterns ◽  
The Relationship

Expanding Opportunities in a Shrinking World

2011 ◽  
pp. 491-507
Author(s):  
Avimanyu Datta ◽  
Len Jessup
Keyword(s):  
Social Networks ◽  
Theoretical Model ◽  
Social Networking ◽  
Virtual Environments ◽  
Social Entrepreneurship ◽  
Web Sites ◽  
Online Social Networks ◽  
Locating Information ◽  
The Relationship ◽  
Entrepreneurial Competency

The authors present a parsimonious theoretical model that illustrates how Internet-based virtual environments (such as social networking Web sites) moderate the relationship between social networks and social entrepreneurship. Social networks promote social entrepreneurship by means of (a) technology and knowledge transfer; (b) locating information; (c) generating entrepreneurial opportunities; (d) building entrepreneurial competency; (e) financing innovation; and (f) building effective networks for commercialization of innovations. Internet based virtual environments increase the velocity with which online social networks are formed and operationalized. They, thus, have a moderating effect in the relationship between social networks and social entrepreneurship. The authors also represent three concepts that are core to social networks: density, centrality, and heterogeneity. They posit that all three explain variance in social entrepreneurship and that Internet-based virtual environments moderate each of the relationships these three elements of social networks have with social entrepreneurship.

Why Do High-Status People Have Larger Social Networks? Belief in Status-Quality Coupling as a Driver of Network-Broadening Behavior and Social Network Size

2020 ◽  
Author(s):  
Jiyin Cao ◽  
Edward Bishop Smith
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Status ◽  
Positive Association ◽  
Network Size ◽  
High Status ◽  
Discussion Section ◽  
Social Network Size ◽  
Tightly Coupled ◽  
The Relationship

Previous research has demonstrated that the size and reach of people’s social networks tend to be positively related to their social status. Although several explanations help to account for this relationship—for example, higher-status people may be part of multiple social circles and therefore have more social contacts with whom to affiliate—we present a novel argument involving people’s beliefs about the relationship between status and quality, what we call status-quality coupling. Across seven separate studies, we demonstrate that the positive association between social status and network-broadening behavior (as well as social network size) is contingent on the extent to which people believe that status is a reliable indicator of quality. Across each of our studies, high- and low-status people who viewed status and quality as tightly coupled differed in their network-broadening behaviors, as well as in the size of their reported social networks. The effect was largely driven by the perceived self-value and perceived receptivity of the networking target. Such differences were significantly weaker or nonexistent among equivalently high- and low-status people who viewed status as an unreliable indicator of quality. Because the majority of participants—both high- and low-status—exhibited beliefs in status-quality coupling, we conclude that such a belief marks an important and previously unaccounted-for driver of the relationship between status, network-broadening behaviors, and social networks. Implications for research on social capital, advice seeking, and inequality are highlighted in the discussion section.

Collective Solitude and Social Networks in World of Warcraft

2009 ◽  
pp. 78-100 ◽  
Author(s):  
Nicolas Ducheneaut
Keyword(s):  
Social Networks ◽  
Real World ◽  
Online Social Networks ◽  
Online Games ◽  
World Of Warcraft ◽  
Massively Multiplayer Online Games ◽  
Multiplayer Online Games ◽  
The Relationship ◽  
Do So ◽  
Massively Multiplayer

This chapter investigates the nature and structure of social networks formed between the players of massively multiplayer online games (MMOGs), an incredibly popular form of Internet-based entertainment attracting millions of subscribers. To do so, we use data collected about the behavior of more than 300,000 characters in World of Warcraft (the most popular MMOG in America). We show that these social networks are often sparse and that most players spend time in the game experiencing a form of “collective solitude”: they play surrounded by, but not necessarily with, other players. We also show that the most successful player groups are analogous to the organic, team-based forms of organization that are prevalent in today’s workplace. Based on these findings, we discuss the relationship between online social networks and “real-world” behavior in organizations in more depth.

Sentiment Based Information Diffusion in Online Social Networks

2018 ◽  
Vol 8 (1) ◽  
pp. 60-74
Author(s):  
Mohammad Ahsan ◽  
Madhu Kumari ◽  
Tajinder Singh ◽  
Triveni Lal Pal
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Random Forests ◽  
Presidential Election ◽  
Online Social Networks ◽  
Regression Models ◽  
Information Diffusion ◽  
Comprehensive Understanding ◽  
Contextual Features ◽  
The Relationship

This article describes how social media has emerged as a main vehicle of information diffusion among people. They often share their experience, feelings and knowledge through these channels. Some pieces of information quickly reach a large number of people, while others not. The authors analyzed this variation by collecting tweets on 2016 U.S. presidential election. This article gives a comprehensive understanding of how sentiment encoded in the textual contents can affects the information diffusion, along with the effect of content features, i.e., URLs, hashtags, and contextual features, i.e., number of followers, followees, tweets generated by the user so far, account age, tweet age. In order to explore the relationship between sentiment content and information diffusion, the authors first checked the features' significance as an indicator of diffusibility by using random forests. Finally, support vectors and k-Neighbors regression models are used to capture the complete dynamics of information diffusion. Experiments and results clearly reveal that sentiment prominently helps in making a better prediction of information diffusion.

scholarly journals Towards Inferring Communication Patterns in Online Social Networks

2017 ◽  
Vol 17 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Ero Balsa ◽  
Cristina Pérez-Solà ◽  
Claudia Diaz
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Communication Patterns

Expanding Opportunities in a Shrinking World

2009 ◽  
Vol 1 (4) ◽  
pp. 33-49 ◽  
Author(s):  
Avimanyu Datta ◽  
Len Jessup
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Virtual Environments ◽  
Social Entrepreneurship ◽  
Web Sites ◽  
Online Social Networks ◽  
Entrepreneurial Opportunities ◽  
Locating Information ◽  
The Relationship ◽  
Entrepreneurial Competency

The authors present a parsimonious theoretical model that illustrates how Internet-based virtual environments (such as social networking Web sites) moderate the relationship between social networks and social entrepreneurship. Social networks promote social entrepreneurship by means of (a) technology and knowledge transfer; (b) locating information; (c) generating entrepreneurial opportunities; (d) building entrepreneurial competency; (e) financing innovation; and (f) building effective networks for commercialization of innovations. Internet based virtual environments increase the velocity with which online social networks are formed and operationalized. They, thus, have a moderating effect in the relationship between social networks and social entrepreneurship. The authors also represent three concepts that are core to social networks: density, centrality, and heterogeneity. They posit that all three explain variance in social entrepreneurship and that Internet-based virtual environments moderate each of the relationships these three elements of social networks have with social entrepreneurship.

scholarly journals Understanding the Users Personal Attributes Similarity Across Online Social Networks

2019 ◽  
Vol 8 (11) ◽  
pp. 3902-3908
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Criminal Behavior ◽  
Personal Information ◽  
Personal Attributes ◽  
The Social ◽  
Media Services ◽  
The Relationship ◽  
Modern Era

In this modern era of technology, everyone accessing the Internet is obsessed with social media. A User accesses different social media services to fulfill his diverse needs. For instance, Instagram is mainly used for sharing personal visual content while Twitter is known for finding latest news and trends, similarly Facebook for personal posts. Such services lead to the distribution of personal information of an Internet user on these platforms. In this paper, we build a framework to discover the relationship among the attributes of a user across the social media.We use different fuzzy string matching algorithms to find the similarities between the attributes. We extract the ‘name’ and ‘username’ from a publicly shared dataset and apply two character based and token based algorithms on these features. The results are indicative of the fact that only a limited number of users share the same name and username across the sites. On further analysis, it is found that although name and username of most of the users do not exactly match, they tend to be similar with the infinitesimal difference like; underscore, period, one digit numbers, etc. This study provides an analysis of the typical variations in names and usernames, which can further be studied for the extension to other social networks This profile will help in behavior analysis of a user, which will further help us to improve recommendations and analyze for criminal behavior and similar applications.

Sentiment Based Information Diffusion in Online Social Networks

2020 ◽  
pp. 807-822
Author(s):  
Mohammad Ahsan ◽  
Madhu Kumari ◽  
Tajinder Singh ◽  
Triveni Lal Pal
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Random Forests ◽  
Presidential Election ◽  
Online Social Networks ◽  
Regression Models ◽  
Information Diffusion ◽  
Comprehensive Understanding ◽  
Support Vectors ◽  
The Relationship

This article describes how social media has emerged as a main vehicle of information diffusion among people. They often share their experience, feelings and knowledge through these channels. Some pieces of information quickly reach a large number of people, while others not. The authors analyzed this variation by collecting tweets on 2016 U.S. presidential election. This article gives a comprehensive understanding of how sentiment encoded in the textual contents can affects the information diffusion, along with the effect of content features, i.e., URLs, hashtags, and contextual features, i.e., number of followers, followees, tweets generated by the user so far, account age, tweet age. In order to explore the relationship between sentiment content and information diffusion, the authors first checked the features' significance as an indicator of diffusibility by using random forests. Finally, support vectors and k-Neighbors regression models are used to capture the complete dynamics of information diffusion. Experiments and results clearly reveal that sentiment prominently helps in making a better prediction of information diffusion.

scholarly journals Advance Identification of Cloning Attacks in Online Social Networks

2018 ◽  
Vol 7 (3.10) ◽  
pp. 83
Author(s):  
Megha Renuka Prasad ◽  
Santhosh Kumar B J
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Leisure Activities ◽  
Distributed Data ◽  
Significant Growth ◽  
New Associations ◽  
Set Up ◽  
Relationship Of ◽  
The Relationship ◽  
Cross Site

Online social networks (OSN) have changed the way individuals collaborate and convey to reconnect with old companions, acquaintances and set up new associations with others considering leisure activities, interests, and fellowship circles. Shockingly, the member's lamentable acknowledgment of reckless conduct in sharing data, often worthless safety efforts from part of the framework heads and, at last, take advantage of the distributed data in Online Social networks as an intriguing objective to attackers. As OSN is becoming increasingly popular and identity cloning attacks (ICA) mechanism designed to fake the identity of users on OSN is becoming one significant growth concerns. This attack has been seriously affected the victims and other users to establish the relationship of trust, if there is no active application defense. In this paper, the first step analyzes the member constraints and characterize the profiles based on their behavior. Then focusing on the categorized profiles of the framework and verify each of them using their area of interests. To detect suspicious identities, two methods are followed based on attribute similarity of profiles and by verifying similar profiles in a cross-site environment by their area of interests.  

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