scholarly journals Dynamic Visualization of Time-Based Changes to Data Generated by Reddit.com: The Real Time Conversation Project

2016 ◽  
Vol 13 (4) ◽  
Author(s):  
Daniel Wang ◽  
Andy Luse ◽  
Jim Burkman
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Social Networking ◽  
Real Time ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Dynamic Visualization ◽  
The Real ◽  
Related Data ◽  
Visualization Techniques

With the increased amount of data generated by social networking sites there is also increased difficulty in the analysis of this data, including time-based changes, which can provide unique insights in social network analysis. Information visualization is a vital tool in assisting social scientists with analysis of large quantities of data; however, the gathering, formatting, and visualizing of time-related data from social networking sites still remains an obstacle. This research explores the process of gathering time-based data in real time and using dynamic visualization techniques to visualize and analyze time-based changes in data generated by discussions on the social networking site Reddit. The outcome culminates in our deliverable, the Real Time Conversation Project. KEYWORDS: Visualization; Network Analysis; Social Network; Reddit; Gephi

scholarly journals Academic Social Networking Sites are Smaller, Denser Networks Conducive to Formal Identity Management, Whereas Academic Twitter is Larger, More Diffuse, and Affords More Space for Novel Connections

2020 ◽  
Vol 15 (1) ◽  
pp. 226-228
Author(s):  
Scott Goldstein
Keyword(s):  
Network Analysis ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Information Science ◽  
Identity Management ◽  
Social Networking Site ◽  
Professional Relationships ◽  
Structured Interviews ◽  
Ego Networks

A Review of: Jordan, K. (2019). Separating and merging professional and personal selves online: The structure and processes that shape academics’ ego-networks on academic social networking sites and Twitter. Journal of the Association for Information Science and Technology, 70(8), 830-842. https://doi.org/10.1002/asi.24170 Abstract Objective – To examine the structure of academics’ online social networks and how academics understand and interpret them. Design – Mixed methods consisting of network analysis and semi-structured interviews. Setting – Academics based in the United Kingdom. Subjects – 55 U.K.-based academics who use an academic social networking site and Twitter, of whom 18 were interviewed. Methods – For each subject, ego-networks were collected from Twitter and either ResearchGate or Academia.edu. Twitter data were collected primarily via the Twitter API, and the social networking site data were collected either manually or using a commercial web scraping program. Edge tables were created in Microsoft Excel spreadsheets and imported into Gephi for analysis and visualization. A purposive subsample of subjects was interviewed via Skype using a semi-structured format intended to illuminate further the network analysis findings. Transcripts were deductively coded using a grounded theory-based approach. Main Results – Network analysis replicated earlier findings in the literature. A large number of academics have relatively few connections to others in the network, while a small number have relatively many connections. In terms of reciprocity (the proportion of mutual ties or pairings out of all possible pairings that could exist in the network), arts and humanities disciplines were significantly more reciprocal. Communities (measured using the modularity algorithm, which looks at the density of links within and between different subnetworks) are more frequently defined by institutions and research interests on academic social networking sites and by research interests and personal interests on Twitter. The overall picture was reinforced by the qualitative analysis. According to interview participants, academic social networking sites reflect pre-existing professional relationships and do not foreground social interaction, serving instead as a kind of virtual CV. By contrast, Twitter is analogized to a conference coffee break, where users can form new connections. Conclusion – Academic social networking sites exhibit networks that are smaller, denser, more clustered around discrete modularity classes, and more reciprocal. Twitter networks are larger and more diffuse, which is more conducive to fostering novel connections. The author makes suggestions for how academic social networking sites could encourage network building and rethink how academic reputation is measured.

Academics and their online networks: Exploring the role of academic social networking sites

First Monday ◽  
2014 ◽  
Author(s):  
Katy Jordan
Keyword(s):  
Community Structure ◽  
Social Network ◽  
Network Analysis ◽  
Social Networking ◽  
Network Structure ◽  
Social Networking Sites ◽  
Rapid Rise ◽  
Online Networks ◽  
Peripheral Position

The rapid rise in popularity of online social networking has been followed by a slew of services aimed at an academic audience. This project sought to explore network structure in these sites, and to explore trends in network structure by surveying participants about their use of sites and motivations for making connections. Social network analysis revealed that discipline was influential in defining community structure, while academic seniority was linked to the position of nodes within the network. The survey revealed a contradiction between academics use of the sites and their position within the networks the sites foster. Junior academics were found to be more active users of the sites, agreeing to a greater extent with the perceived benefits, yet having fewer connections and occupying a more peripheral position in the network.

scholarly journals SCIENTIFIC WAY TO IDENTIFY DUPLICATE PROFILE IN SOCIAL NETWORKING WEBSITES

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
PANKAJ PANKAJ
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Online Social Network ◽  
Security Attacks ◽  
The Real ◽  
Individual User ◽  
Active User ◽  
On Line ◽  
Privacy Violation

In present scenario an Individual user will have multiple social network accounts to stay involved with friends in several social networking sites. Online social network users aren’t attentive to the varied security attacks like privacy violation, fraud, etc. Different on-line social users can assume it as real users and that they could be capable them that aren’t truly the real user.It is estimated 1.96 billion user are active on social networking sites. Only Facebook have 1.87 billion active user in a month.. During this research paper, I had tried to analyze social network knowledge supported attributes similarity. The planned system will cite as several similar social network profiles as a potential and analyze them so as to seek out whether or not it belongs to same or totally different persons. It makes different user straightforward to speak with one another during a safe and secure manner.

scholarly journals Social Network Analysis

2012 ◽  
Vol 4 (3) ◽  
pp. 46-58 ◽  
Author(s):  
Darren Quinn ◽  
Liming Chen ◽  
Maurice Mulvenna
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Networking ◽  
Social Networking Sites ◽  
Interaction Analysis ◽  
Future Directions ◽  
Core Concepts ◽  
The Common ◽  
Art Research

Social Network Analysis is attracting growing attention as social networking sites and their enabled applications transform and impact society. This paper aims to provide a comprehensive review of social network analysis state of the art research and practice. In the paper the authors’ first examine social networking and the core concepts and ingredients of social network analysis. Secondly, they review the trend of social networking and related research. The authors’ then consider modelling motivations, discussing models in line with tie formation approaches, where connections between nodes are taken into account. The authors’ outline data collection approaches along with the common structural properties observed in related literature. They then discuss future directions and the emerging approaches in social network analysis research, notably semantic social networks and social interaction analysis.

On the Use of Formal Methods to Enforce Privacy-Aware Social Networking

2013 ◽  
pp. 222-247
Author(s):  
Néstor Cataño Collazos ◽  
Sorren Christopher Hanvey ◽  
Camilo Rueda Calderón
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Formal Methods ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Privacy Policies ◽  
Friendship Relations ◽  
Privacy Settings ◽  
Verification Tools ◽  
Formal Techniques

This chapter discusses the use of formal techniques and formal verification tools to ensure privacy-aware social networking; hence users of social-networking sites can predict what the consequences of updating their privacy settings are. A formal methods approach is presented for modeling and comparing social-network privacy policies, and for checking whether a user’s privacy policy can coexist with other policies within a social networking site. The authors present the Poporo tool implementing the approach. Poporo builds on a predicate calculus definition for social networking written in B that models social network content, people in the network, friendship relations, and privacy policies that are modeled as permissions to access content. Several examples of privacy-awareness social networking are also shown using Poporo.

Nadmierne korzystanie z sieci społecznościowych przez młodzieŜ szkolną – charakterystyka zjawiska

1970 ◽  
pp. 237-260
Author(s):  
Jolanta Jarczyńska
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
School Students ◽  
Multiple Functions ◽  
Internet Users ◽  
The World ◽  
Basic Concepts

Social networking sites (SNS), popularly called portals, are sites that combine multiple functions. Users might communicate by SNS with their friends, share photos and movies or participate in groups. SNS satisfy their users’ needs such as the need to connect or to self-present. These functions of SNS make them attractive. It is not surprising, therefore, that in recent years there has been an increasing number of people, especially young ones, using social networking sites. Facebook (FB)is the most popular social network in the world. Statistics carried out by FB indicate a rapid increase in the number of Internet users who make use of this particular social networking site. The article presents the characteristics of the phenomenon of school students’ excessive use of social networking sites. It defines the basic concepts, describes the diagnostic criteria for abuse of social networking sites and theories to explain this behavior. It shows the loss and benefits of excessive use of social networks and presents tools used in research to measure school students’ excessive use ofsocial networking sites.

On the Use of Formal Methods to Enforce Privacy-Aware Social Networking

2015 ◽  
pp. 307-332
Author(s):  
Néstor Cataño Collazos ◽  
Sorren Christopher Hanvey ◽  
Camilo Rueda Calderón
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Formal Methods ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Privacy Policies ◽  
Friendship Relations ◽  
Privacy Settings ◽  
Verification Tools ◽  
Formal Techniques

This chapter discusses the use of formal techniques and formal verification tools to ensure privacy-aware social networking; hence users of social-networking sites can predict what the consequences of updating their privacy settings are. A formal methods approach is presented for modeling and comparing social-network privacy policies, and for checking whether a user's privacy policy can coexist with other policies within a social networking site. The authors present the Poporo tool implementing the approach. Poporo builds on a predicate calculus definition for social networking written in B that models social network content, people in the network, friendship relations, and privacy policies that are modeled as permissions to access content. Several examples of privacy-awareness social networking are also shown using Poporo.

Should You Accept a Friends Request From Your Mother? And Other Filipino Dilemmas

2012 ◽  
Vol 2 (1) ◽  
pp. 9-28 ◽  
Author(s):  
Daniel Miller ◽  
Mirca Madianou
Keyword(s):  
Social Network ◽  
New Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Domestic Workers ◽  
The Philippines ◽  
Social Networking Site ◽  
Left Behind ◽  
The Uk ◽  
The Relationship

Abstract: This paper uses the concept of ‘cutting the network’ derived from the work of Marilyn Strathern to examine the relationship between two kinds of social network, that of kinship and the system of friends constructed on social networking sites. Specifically the material comes from a study of Filipina domestic workers and nurses in the UK and their relationship to their left behind children in the Philippines. A bilateral system of kinship can lead to a proliferation of relatives, while the use of the Friendster social networking site can lead to a proliferation of friends. It is when these two systems clash following the request by one's mother to become a friend that the constraints and problems posed by both systems comes into view. Cases show that it is possible to use social networking sites to help mothers become close friends for their absent children, but more commonly the increasing presence of actual mothers through new media disrupts the relationships that children had developed for themselves to a idealised projection of motherhood.

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