Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

The Effectiveness of Big Data in Social Networks

2015 ◽  
pp. 362-381
Author(s):  
Khine Khine Nyunt ◽  
Noor Zaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
User Generated Content ◽  
Web Based ◽  
The Social ◽  
Internet Application ◽  
Media Data ◽  
Media Mining

In this chapter, we will discuss how “big data” is effective in “Social Networks” which will bring huge opportunities but difficulties though challenges yet ahead to the communities. Firstly, Social Media is a strategy for broadcasting, while Social Networking is a tool and a utility for connecting with others. For this perspective, we will introduce the characteristic and fundamental models of social networks and discuss the existing security & privacy for the user awareness of social networks in part I. Secondly, the technological built web based internet application of social media with Web2.0 application have transformed users to allow creation and exchange of user-generated content which play a role in big data of unstructured contents as well as structured contents. Subsequently, we will introduce the characteristic and landscaping of the big data in part II. Finally, we will discuss the algorithms for marketing and social media mining which play a role how big data fit into the social media data.

The Effectiveness of Big Data in Social Networks

2018 ◽  
pp. 863-882
Author(s):  
Khine Khine Nyunt ◽  
Noor Zaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
User Generated Content ◽  
Web Based ◽  
The Social ◽  
Internet Application ◽  
Media Data ◽  
Media Mining

In this chapter, we will discuss how “big data” is effective in “Social Networks” which will bring huge opportunities but difficulties though challenges yet ahead to the communities. Firstly, Social Media is a strategy for broadcasting, while Social Networking is a tool and a utility for connecting with others. For this perspective, we will introduce the characteristic and fundamental models of social networks and discuss the existing security & privacy for the user awareness of social networks in part I. Secondly, the technological built web based internet application of social media with Web2.0 application have transformed users to allow creation and exchange of user-generated content which play a role in big data of unstructured contents as well as structured contents. Subsequently, we will introduce the characteristic and landscaping of the big data in part II. Finally, we will discuss the algorithms for marketing and social media mining which play a role how big data fit into the social media data.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

Socio-Technical Attack Approximation Based on Structural Virality of Information in Social Networks

2021 ◽  
Vol 15 (1) ◽  
pp. 153-172
Author(s):  
Preetish Ranjan ◽  
Abhishek Vaish
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Latent Structure ◽  
The Social ◽  
High Skill ◽  
The Way

A free and easily accessible platform for sharing information over social media has its negatives. It is being misused to intimidate others by exploiting the trust factor inherent within it. This paper is on the persistent pursuit of offering an exquisite solution to address this possible misuse of social media also called STAs and their subsequent impacts on society. These attacks are very sensitive to society and often organized groups with a high skill set are involved to disguise the security agencies. In this work, a model has been proposed to approximate socio-technical attack subject to the structural virality of information in the social network. The work is unique in the sense that previous works are mostly based on statistical values of the network but the proposed work considers the latent structure of the network which is not being reflected from their statistical values. This also paves the way for future researchers to implant other hidden features of nodes and messages circulating within the network which could be helpful for the detection and mitigation of STAs.

Empirical Study of Cyber Harassment among Social Networks

2014 ◽  
pp. 1717-1730
Author(s):  
Joanne Kuzma
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Electronic Media ◽  
Protective Measures ◽  
Cyber Harassment ◽  
The Social ◽  
Negative Effect ◽  
Communication Methods

The growth of Online Social Networking sites has brought new services and communication methods to consumers. However, along with benefits, serious problems such as online cyber harassment have recently come to the forefront of the electronic media. This behavior can have significant negative effect on individuals, businesses and the social networks. Some sites have begun to provide some levels of protection and create specific anti-harassment policies in their terms of service along with implementing protection technologies. However, these protective measures are not consistent among social media, leaving some consumers at greater risk. This study analyzed 60 worldwide social sites and determined the level of cyber-harassment protection. It reviewed statistical differences among geographical-based social networks. The results showed significant gaps among various social networks, but suggests methods for improving consumer safeguards to provide consistent levels of protection.

A Usability Evaluation of Facebook's Privacy Features Based on the Perspectives of Experts and Users

2019 ◽  
pp. 1544-1568
Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
User Interaction ◽  
Usability Evaluation ◽  
Second Step ◽  
Web Based ◽  
The Third ◽  
Privacy Settings ◽  
Three Stages

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.

Building Online Social Networks to Engage Female Students in Information Systems

2015 ◽  
Vol 10 (4) ◽  
pp. 33-51
Author(s):  
Jaymeen R. Shah ◽  
Hsun-Ming Lee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Information Systems ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Role Models ◽  
Online Social Network ◽  
Research Process ◽  
Female Students ◽  
The Social

During the next decade, enrollment growth in Information Systems (IS) related majors is unlikely to meet the predicted demand for qualified IS graduates. Gender imbalance in the IS related program makes the situation worse as enrollment and retention of women in the IS major has been proportionately low compared to male. In recent years, majority of high school and college students have integrated social networking sites in their daily life and habitually use these sites. Providing female students access to role models via an online social network may enhance their motivation to continue as an IS major and pursue a career in IS field. For this study, the authors follow the action research process – exploration of information systems development. In particular, a Facebook application was developed to build the social network connecting role models and students. Using the application, a basic framework is tested based on the gender of participants. The results suggest that it is necessary to have adequate number of role models accessible to students as female role-models tend to select fewer students to develop relationships with a preference for female students. Female students likely prefer composite role models from a variety of sources. This pilot study yields valuable lessons to provide informal learning fostered by role modeling via online social networks. The Facebook application may be further expanded to enhance female students' interests in IS related careers.

The Alt-social Network of Natalie Bookchin’s Testament

2016 ◽  
Vol 18 (5) ◽  
pp. 459-477
Author(s):  
Sarah Whitcomb Laiola
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Social Web ◽  
User Interactions ◽  
Media Criticism ◽  
Direct Translation ◽  
The Social

This article addresses issues of user precarity and vulnerability in online social networks. As social media criticism by Jose van Dijck, Felix Stalder, and Geert Lovink describes, the social web is a predatory system that exploits users’ desires for connection. Although accurate, this critical description casts the social web as a zone where users are always already disempowered, so fails to imagine possibilities for users beyond this paradigm. This article examines Natalie Bookchin’s composite video series, Testament, as it mobilizes an alt-(ernative) social network of vernacular video on YouTube. In the first place, the alt-social network works as an iteration of “tactical media” to critically reimagine empowered user-to-user interactions on the social web. In the second place, it obfuscates YouTube’s data-mining functionality, so allows users to socialize online in a way that evades their direct translation into data and the exploitation of their social labor.

Research on Traveling Behavior Based on Social Network Platform

2014 ◽  
Vol 687-691 ◽  
pp. 1762-1765
Author(s):  
Bao Ding Sun
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Influential Factors ◽  
The Social ◽  
Behavior Based ◽  
Network Platform ◽  
Tourism Enterprises ◽  
Developing Pattern

Due to the emergence of social media in the field of Internet , the structure of tourism as well as its developing pattern has changed a lot, the application of social media enabled the tourists who can take part in more traveling information to exchange ideas. It also can influence the character of the traditional traveling consumers' behavior by the subtle changes in tourism. In this paper, with the analysis of the consumer's behaving habits of using social network platform, it explored the influential factors that contributed to the tourism enterprises, which can be beneficial for making the traveling decisions through the social networks platform.

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