Data Storage For Social Networks

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Data Storage For Social Networks

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Author : Duc A. Tran
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-15

Data Storage For Social Networks written by Duc A. Tran and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-15 with Mathematics categories.

Evidenced by the success of Facebook, Twitter, and LinkedIn, online social networks (OSNs) have become ubiquitous, offering novel ways for people to access information and communicate with each other. As the increasing popularity of social networking is undeniable, scalability is an important issue for any OSN that wants to serve a large number of users. Storing user data for the entire network on a single server can quickly lead to a bottleneck, and, consequently, more servers are needed to expand storage capacity and lower data request traffic per server. Adding more servers is just one step to address scalability. The next step is to determine how best to store the data across multiple servers. This problem has been widely-studied in the literature of distributed and database systems. OSNs, however, represent a different class of data systems. When a user spends time on a social network, the data mostly requested is her own and that of her friends; e.g., in Facebook or Twitter, these data are the status updates posted by herself as well as that posted by the friends. This so-called social locality should be taken into account when determining the server locations to store these data, so that when a user issues a read request, all its relevant data can be returned quickly and efficiently. Social locality is not a design factor in traditional storage systems where data requests are always processed independently. Even for today’s OSNs, social locality is not yet considered in their data partition schemes. These schemes rely on distributed hash tables (DHT), using consistent hashing to assign the users’ data to the servers. The random nature of DHT leads to weak social locality which has been shown to result in poor performance under heavy request loads. Data Storage for Social Networks: A Socially Aware Approach is aimed at reviewing the current literature of data storage for online social networks and discussing new methods that take into account social awareness in designing efficient data storage.

Analyzing And Securing Social Networks

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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2016-04-06

Analyzing And Securing Social Networks written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-06 with Computers categories.

Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technolo

Security And Privacy In Social Networks

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Author : Yaniv Altshuler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-14

Security And Privacy In Social Networks written by Yaniv Altshuler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-14 with Computers categories.

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

Security And Privacy In Social Networks And Big Data

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Author : Xiaofeng Chen
language : en
Publisher: Springer Nature
Release Date : 2022-10-09

Security And Privacy In Social Networks And Big Data written by Xiaofeng Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-09 with Computers categories.

This book constitutes the proceedings of the 8th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2022, which took place in Xi'an, China, in October 2022. The 23 papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers were evaluated on the basis of their significance, novelty, technical quality, as well as on their practical impact or their level of advancement of the field’s foundations. They were organized in topical sections as follows: Cryptography and its applications; Network security and privacy protection; Data detection; Blockchain and its applications.

Security And Privacy In Social Networks And Big Data

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Author : Yang Xiang
language : en
Publisher: Springer Nature
Release Date : 2020-09-25

Security And Privacy In Social Networks And Big Data written by Yang Xiang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.

This book constitutes revised and selected papers from the 6th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2020, held in Tianjin, China, in September 2020. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 111 submissions. The papers are organized according to the topical sections on big data security; social networks; privacy-preserving and security.

Machine Learning Techniques For Online Social Networks

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Author : Tansel Özyer
language : en
Publisher: Springer
Release Date : 2018-05-30

Machine Learning Techniques For Online Social Networks written by Tansel Özyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Social Science categories.

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.

Data Mining In Dynamic Social Networks And Fuzzy Systems

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Author : Bhatnagar, Vishal
language : en
Publisher: IGI Global
Release Date : 2013-06-30

Data Mining In Dynamic Social Networks And Fuzzy Systems written by Bhatnagar, Vishal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-30 with Computers categories.

Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.

Social Network Analysis

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Author : John Scott
language : en
Publisher: SAGE
Release Date : 2012-11-19

Social Network Analysis written by John Scott and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-19 with Social Science categories.

The Third Edition of this best-selling text has been fully revised and updated to include coverage of the many developments on social network analysis (SNA) over the last decade. Written in a clear and accessible style, the book introduces these topics to newcomers and non-specialists and gives sufficient detail for more advanced users of social network analysis. Throughout the book, key ideas are discussed in relation to the principal software programs available for SNA. The book provides a comprehensive overview of the field, outlining both its theoretical basis and its key techniques. Drawing from the core ideas of points, lines and paths, John Scott builds a framework of network analysis that covers such measures as density, centrality, clustering, centralisation, and spatialisation. He identifies the various types of clique, component, and circle into which networks are formed, and he outlines an approach to socially structured positions within networks. A completely new chapter in this edition discusses recent work on network dynamics and methods for studying change over time. A final chapter discusses approaches to network visualisation. This is an excellent resource for researchers across the social sciences and for students of social theory and research methods.

Security Designs For The Cloud Iot And Social Networking

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Author : Dac-Nhuong Le
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-10

Security Designs For The Cloud Iot And Social Networking written by Dac-Nhuong Le and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with Computers categories.

Security concerns around the rapid growth and variety of devices that are controlled and managed over the Internet is an immediate potential threat to all who own or use them. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problems, investigating the roots of the problems and how programming and attention to good security practice can combat the threats today that are a result of lax security processes on the Internet of Things, cloud computing and social media.

Security In Iot Social Networks

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Author : Fadi Al-Turjman
language : en
Publisher: Academic Press
Release Date : 2020-11-03

Security In Iot Social Networks written by Fadi Al-Turjman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Science categories.

Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The book will help start-ups grow, providing research directions concerning security mechanisms and protocols for social information networks. The book covers structural analysis of large social information networks, elucidating models and algorithms and their fundamental properties. Moreover, this book includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models. This book is a detailed reference for academicians, professionals, and young researchers. The wide range of topics provides extensive information and data for future research challenges in present-day social information networks. - Provides several characteristics of social, network, and physical security associated with social information networks - Presents the security mechanisms and events related to social information networks - Covers emerging topics, such as network information structures like on-line social networks, heterogeneous and homogeneous information networks, and modern information networks - Includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models