scholarly journals Visualization for Analysis of Social Networking, Models and Techniques: A Review

2018 ◽  
Vol 6 (4) ◽  
pp. 137-144
Author(s):  
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Privacy Concerns ◽  
Clustering Techniques ◽  
Adversarial Network ◽  
Adversarial Networks ◽  
Network Analyser ◽  
Twitter Users

In this paper, we have reviewed several social networking sites, evolution and background and significance of social media. Social networking is used as platform for various applications like: government, business, educational, political, dating and matrimonial, etc. Motivation is to examine adversarial networks and represents the activities observed by analyser. Additionally we’ve examined social network model and operations performed in it along with simulation and close degree algorithm, Adversarial Network analyser and analysis of vulnerabilities of an organization analysed. We examine the types of posting on social media websites and influence of posting data and privacy concerns of Facebook and twitter users. This study indicates the different concerns of users regarding posting information and its influences of user based privacy concerns. In addition we discussed several classification and clustering techniques used for data mining in online social networking sites and the market targets and parameters and analysis of different variables as per the usage of SNSs.

Need for Dynamicity in Social Networking Sites

2014 ◽  
pp. 64-87
Author(s):  
Gurdeep S Hura
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Real World ◽  
Social Networking Sites ◽  
Data Science ◽  
Emerging Technology ◽  
New Applications ◽  
Future Status

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.

“Hey, Look at My Body!”

2014 ◽  
Vol 4 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Lik Sam Chan ◽  
Hing Weng Eric Tsang
Keyword(s):  
Social Media ◽  
Body Image ◽  
Young Adults ◽  
Hong Kong ◽  
Social Networking ◽  
Social Networking Sites ◽  
Body Image Satisfaction ◽  
Privacy Concerns ◽  
Privacy Risks ◽  
The Relationship

This article considers the phenomenon of online body display by users of social networking sites in Hong Kong. A survey of 392 young adults was conducted to investigate the relationships between narcissism, grandiose exhibitionism, body image satisfaction, perceived privacy risks, and online body display. A Body Display Index was developed to measure the perceived level of sexual explicitness of photographs shared by Facebook users. Grandiose exhibitionism, a sub-trait of narcissism, was found to be a stronger predictor of online body display than narcissism. The relationship between body image satisfaction and online body display was not significant, and no relationship was found between such displays and perceived privacy risks, thus implying a lack of social media-related privacy concerns among the respondents.

“Hey, Look at My Body!”

2019 ◽  
pp. 302-319
Author(s):  
Lik Sam Chan ◽  
Hing Weng Eric Tsang
Keyword(s):  
Social Media ◽  
Body Image ◽  
Young Adults ◽  
Hong Kong ◽  
Social Networking ◽  
Social Networking Sites ◽  
Body Image Satisfaction ◽  
Privacy Concerns ◽  
Privacy Risks ◽  
The Relationship

This article considers the phenomenon of online body display by users of social networking sites in Hong Kong. A survey of 392 young adults was conducted to investigate the relationships between narcissism, grandiose exhibitionism, body image satisfaction, perceived privacy risks, and online body display. A Body Display Index was developed to measure the perceived level of sexual explicitness of photographs shared by Facebook users. Grandiose exhibitionism, a sub-trait of narcissism, was found to be a stronger predictor of online body display than narcissism. The relationship between body image satisfaction and online body display was not significant, and no relationship was found between such displays and perceived privacy risks, thus implying a lack of social media-related privacy concerns among the respondents.

Need for Dynamicity in Social Networking Sites

2013 ◽  
pp. 1-24 ◽  
Author(s):  
Gurdeep S Hura
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Real World ◽  
Social Networking Sites ◽  
Data Science ◽  
Emerging Technology ◽  
New Applications ◽  
Future Status

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.

scholarly journals Review On: Detection of Spam Comments Using NLP Algorithm

2018 ◽  
Vol 7 (01) ◽  
pp. 23386-23489
Author(s):  
Miss Rohini D.Warkar ◽  
Mr.I.R. Shaikh
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Natural Language Processing ◽  
Natural Language ◽  
Social Networking ◽  
Real Time ◽  
Social Services ◽  
Language Processing ◽  
Social Networking Sites ◽  
Online Media

Detecting trending topics is perfect to summarize information getting from social media. To extract what topic is becoming hot on online media is one of the challenges. As we considering social media so social services are opportunity for spamming which greatly affect on value of real time search. Therefore the next task is to control spamming from social networking sites. For completing these challenges different concepts of data mining will be used. For now whatever work has been done is narrated below like spam control using natural language processing for preprocessing and clustering. One account has been created for making it real.

Lurkers, creepers, and virtuous interactivity: From property rights to consent and care as a conceptual basis for privacy concerns and information ethics

First Monday ◽  
2016 ◽  
Author(s):  
Dylan Eric Wittkower
Keyword(s):  
Data Mining ◽  
Social Networking ◽  
Social Networking Sites ◽  
Personal Information ◽  
Conceptual Basis ◽  
Feminist Ethics ◽  
Privacy Concerns ◽  
Data Ownership ◽  
Phenomenological Perspective ◽  
Informational Economy

Exchange of personal information online is usually conceptualized according to an economic model that treats personal information as data owned by the persons these data are ‘about.’ This leads to a distinct set of concerns having to do with data ownership, data mining, profits, and exploitation, which do not closely correspond to the concerns about privacy that people actually have. A post-phenomenological perspective, oriented by feminist ethics of care, urges us to figure out how privacy concerns arrive in fundamentally human contexts and to speak to that, rather than trying to convince people to care about privacy as it is juridically conceived and articulated. By considering exchanges of personal information in a human-to-human online informational economy — being friends on social networking sites — we can identify an alternate set of concerns: consent, respect, lurking, and creepiness. I argue that these concerns will provide a better guide to both users and companies about prudence and ethics in information economies than the existing discourse around ‘privacy.’

scholarly journals Data Mining Technics and Cyber Hygiene Behaviors in Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 2503-2515
Author(s):  
Hanna Martyniuk ◽  
Valeriy Kozlovskiy ◽  
Serhii Lazarenko ◽  
Yuriy Balanyuk
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Personal Information ◽  
Data Sets ◽  
Personal Privacy ◽  
Data Mining Techniques ◽  
Social Network Data

The authors present in this work information about social media and data mining usage for that. It is represented information about social networking sites, where Facebook dominates the industry by boasting an account of 85% of the internet user’s worldwide. Applying data mining techniques to large social media data sets has the potential to continue to improve search results for everyday search engines, realize specialized target marketing for businesses, help psychologist study behavior, provide new insights into social structure for sociologists, personalize web services for consumers, and even help detect and prevent spam for all of us. The most common data mining applications related to social networking sites is represented. Authors have also gave information about different data mining techniques and list of these techniques. It is important to protect personal privacy when working with social network data. Recent publications highlight the need to protect privacy as it has been shown that even anonymizing this type of data can still reveal personal information when advanced data analysis techniques are used. A whole range of different threat of social networks is represented. Authors explain cyber hygiene behaviors in social networks, such as backing up data, identity theft and online behavior.

Measuring user confidence in social media security and privacy

2021 ◽  
pp. 1-16
Author(s):  
Mirna Gilman Ranogajec ◽  
Boris Badurina
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Private Information ◽  
Physical Environment ◽  
Social Networking Sites ◽  
Information Society ◽  
Online Community ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
User Friendly

In today’s Information society it is an everyday scenario to be a part of an online community such as social media. Participation has become almost mandatory to the point of acting as a virtual extremity to one’s physical environment. This virtual extremity is the individual’s window to the outside world and vice versa. The process of being a part of social media has become very easy and user friendly where one is only a few private information entries away from communicating and connecting with the rest of the world. From the user’s perspective it may be a small price considering what it is gained from joining an online community, but with the rise of social networking platforms, arise privacy concerns regarding social networking services. It is questionable how many social media users consider the information they upload or post about online whether it’s their location, hobbies, employment places, age or any other private information. How many users actually read security and privacy terms when first registering for a social media account? What private information are individuals comfortable with entering and sharing on social networking sites? More and more loopholes are being found in social media frameworks that may compromise user’s privacy or that can be misused in a way that was not intended by the user. In 2010, the Google CEO Eric Schmidt was even quoted “… If we look at enough of your messaging and your location, and use artificial intelligence, we can predict where you are going to go.” (Snickars, Pelle, Vonderau, 2012). That line alone raised a lot of concerns and questions about how exactly is the information users put online being used.

The role of social networking sites in the revolution of 25 January 2011 Egyptian

2019 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Qassim Alwan Saeed ◽  
Khairallah Sabhan Abdullah Al-Jubouri
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Arab Spring ◽  
The World ◽  
The Revolution

Social media sites have recently gain an essential importance in the contemporary societies، actually، these sites isn't simply a personal or social tool of communication among people، its role had been expanded to become "political"، words such as "Facebook، Twitter and YouTube" are common words in political fields of our modern days since the uprisings of Arab spring، which sometimes called (Facebook revolutions) as a result of the major impact of these sites in broadcasting process of the revolution message over the world by organize and manage the revolution progresses in spite of the governmental ascendance and official prohibition.

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