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.

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 Influence of social media on tourism – especially among students of the University of Debrecen

2013 ◽  
Vol 7 (1) ◽  
pp. 105-112 ◽  
Author(s):  
Gergely Ráthonyi
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Information Search ◽  
Social Networking Sites ◽  
Planning Process ◽  
The Internet ◽  
Trip Planning ◽  
Wide Range ◽  
Decision Alternatives ◽  
New Applications

Derive from the characteristic, decisions connected with travelling have high risk for the travellers therefore they try to collect more detailed information and thoroughly map decision alternatives in order to decrease uncertainty. Wide spread of the Internet and rapid technological evolution have revolutionized all industries in the World especially tourism. Platform of tourism increasingly get to the Internet nowadays which is vitally important because tourism is an informationbased and information-intensive industry. Thanks to development of the internet tourists have an opportunity to access such information and purchasing opportunities which were available with the help of intermediaries earlier. Providing wide range of possibilities, Web 2.0 fundamentally changed the way of tourists’ information search behaviour and travelling decision making. This article collects some of the most significant new applications (social networking sites, blogs) in tourism – examine them from the two sides of tourism (demand, supply) – which principally based on active participation of users. Furthermore an offline questionnaire was made in order to survey the social media usage of the student (University of Debrecen, Centre for Agricultural and Applied Economic Sciences) during their leisure travel planning process. Although findings of the study reveal that vast majority of students use social networking sites every day, they don’t really use these platforms during their trip planning process. Among students, friends and relatives are the most important and the most trustworthy source of information due to characteristics of sample.

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.

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.

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.

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.

scholarly journals Preserving professional identities, behaviors, and values in digital professionalism using social networking sites; a systematic review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaista Salman Guraya ◽  
Salman Yousuf Guraya ◽  
Muhamad Saiful Bahri Yusoff
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Social Networking ◽  
Health Professionals ◽  
Social Networking Sites ◽  
Healthcare Professionals ◽  
Professional Identities ◽  
Professional Behaviors ◽  
Digital Era ◽  
Use Of Social Media

Abstract Background Despite a rapid rise of use of social media in medical disciplines, uncertainty prevails among healthcare professionals for providing medical content on social media. There are also growing concerns about unprofessional behaviors and blurring of professional identities that are undermining digital professionalism. This review tapped the literature to determine the impact of social media on medical professionalism and how can professional identities and values be maintained in digital era. Methods We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords. Results Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients. Conclusions Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.

A Survey of Social Media, Big Data, Data Mining, and Analytics

2018 ◽  
Vol 03 (03) ◽  
pp. 1850003 ◽  
Author(s):  
Jared Oliverio
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Environmental Education ◽  
Family Businesses ◽  
Large Percentage ◽  
Specific Behavior ◽  
Social Media Data ◽  
Media Applications ◽  
Media Data

Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.

Sign in / Sign up

Export Citation Format

Share Document