Understanding How Big Data Leads to Social Networking Vulnerability

<div><p><em>With the advent of Social Networking Sites (SNS), volumes of data are generated daily. Most of these data are multimedia type and unstructured with exponential growth. This exponential growth of variety, volume and complexity of structured and unstructured data leads to the concept of big data. Managing big data and harnessing its benefits is a real challenge. With increase in access to big data repository for various applications, security and access control is another aspect that needs to be considered while managing big data. We have discussed area of application of big data, opportunities it provides and challenges that we face in the managing such huge amount of data for various applications. Issues related to security against different threat perception of big data are also discussed. </em></p></div>

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The Technology of Tracking System Integrated Big Data based on Tracer Study to Improve Social Networking of Graduates in The Era of Society 5.0

10.1109/icet53279.2021.9575090 ◽

2021 ◽

Author(s):

Andika Bagus Nur Rahma Putra ◽

Mu'arifin ◽

Mahfudi Sahly Subandi ◽

Hendra Susanto ◽

Gamma Rahmita Ureka Hakim ◽

...

Keyword(s):

Big Data ◽

Social Networking ◽

Tracking System ◽

Tracer Study

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Need for Dynamicity in Social Networking Sites

Digital Arts and Entertainment ◽

10.4018/978-1-4666-6114-1.ch003 ◽

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.

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Adapting Big Data Ecosystem for Landscape of Real World Applications

Advances in Computer and Electrical Engineering - Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics ◽

10.4018/978-1-5225-7598-6.ch001 ◽

2019 ◽

pp. 1-14

Author(s):

Jyotsna Talreja Wassan

Keyword(s):

Big Data ◽

Online Education ◽

Social Networking ◽

Health Management ◽

Database Systems ◽

Internet Age ◽

Heterogeneous Datasets ◽

The World ◽

Relational Database Systems ◽

Data Ecosystem

Big data is revolutionizing the world in the internet age. The wide variety of areas like online businesses, electronic health management, social networking, demographics, geographic information systems, online education, etc. are gaining insight from big data principles. Big data is comprised of heterogeneous datasets which are too large to be handled by traditional relational database systems. An important reason for explosion of interest in big data is that it has become cheap to store volumes of data and there is a major rise in computation capacity. This chapter gives an overview of big data ecosystems comprising various big data platforms useful in today's competitive world.

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Employing a Mixed Method to Explore Mobile Social Media Users' Big Data Privacy Concerns

Handbook of Research on Effective Advertising Strategies in the Social Media Age - Advances in Marketing, Customer Relationship Management, and E-Services ◽

10.4018/978-1-4666-8125-5.ch017 ◽

2015 ◽

pp. 302-320

Author(s):

Kenneth C. C. Yang ◽

Yowei Kang

Keyword(s):

Social Media ◽

Big Data ◽

Social Networking ◽

Data Privacy ◽

Mobile Technologies ◽

Personal Privacy ◽

Privacy Concerns ◽

Early 21St Century ◽

Data Practices ◽

Networking Technologies

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.

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