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Social Networking and Social Media Safety

Social Networking and Social Media Safety Book
Author : Eric Minton
Publisher : The Rosen Publishing Group, Inc
Release : 1900-01-01
ISBN : 1477730192
Language : En, Es, Fr & De

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Book Description :

Between Twitter, Facebook, Tumblr, and countless others, online social networks and social media have come to permeate our lives. Offer readers the tools they need to understand how social networks and social media work and how to use them safely. This title emphasizes the importance of abiding by age limits on social networks and offers age-appropriate guidelines for interacting via social media.

Social Networks A Framework of Computational Intelligence

Social Networks  A Framework of Computational Intelligence Book
Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Release : 2013-12-09
ISBN : 3319029932
Language : En, Es, Fr & De

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Book Description :

This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.

Online Social Networks

Online Social Networks Book
Author : Valerio Arnaboldi,Andrea Passarella,Marco Conti,Robin I.M. Dunbar
Publisher : Elsevier
Release : 2015-09-25
ISBN : 0128030429
Language : En, Es, Fr & De

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Book Description :

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis

Online Social Networks

Online Social Networks Book
Author : Laurie Collier Hillstrom
Publisher : Greenhaven Publishing LLC
Release : 2010-05-03
ISBN : 1420503545
Language : En, Es, Fr & De

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Book Description :

Author Laurie Collier Hillstrom examines the development and amazing growth of online social networking. She explains the basic technology, and examines how it has impacted many facets of life, including politics, activism, charity, business, and science. Readers will explore the emerging problems of identity theft, privacy issues, sexual predators, cyber-bullying, and fraud. Lastly, this book provides an overview of future trends and related technological advancements.

Online Social Networks Security

Online Social Networks Security Book
Author : Brij B. Gupta,Somya Ranjan Sahoo
Publisher : CRC Press
Release : 2021-02-26
ISBN : 1000347117
Language : En, Es, Fr & De

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Book Description :

In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These help users to build both social and professional links on a worldwide scale. The sharing of information and opinions are important features of OSNs. Users can describe recent activities and interests, share photos, videos, applications, and much more. The use of OSNs has increased at a rapid rate. Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi are all OSNs that have become the preferred way of communication for a vast number of daily active users. Users spend substantial amounts of time updating their information, communicating with other users, and browsing one another’s accounts. OSNs obliterate geographical distance and can breach economic barrier. This popularity has made OSNs a fascinating test bed for cyberattacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer, etc. OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.

Security and Trust in Online Social Networks

Security and Trust in Online Social Networks Book
Author : Barbara Carminati,Elena Ferrari,Marco Viviani
Publisher : Morgan & Claypool Publishers
Release : 2013-12-01
ISBN : 1627052666
Language : En, Es, Fr & De

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Book Description :

The enormous success and diffusion that online social networks (OSNs) are encountering nowadays is vastly apparent. Users' social interactions now occur using online social media as communication channels; personal information and activities are easily exchanged both for recreational and business purposes in order to obtain social or economic advantages. In this scenario, OSNs are considered critical applications with respect to the security of users and their resources, for their characteristics alone: the large amount of personal information they manage, big economic upturn connected to their commercial use, strict interconnection among users and resources characterizing them, as well as user attitude to easily share private data and activities with strangers. In this book, we discuss three main research topics connected to security in online social networks: (i) trust management, because trust can be intended as a measure of the perception of security (in terms of risks/benefits) that users in an OSN have with respect to other (unknown/little-known) parties; (ii) controlled information sharing, because in OSNs, where personal information is not only connected to user profiles, but spans across users' social activities and interactions, users must be provided with the possibility to directly control information flows; and (iii) identity management, because OSNs are subjected more and more to malicious attacks that, with respect to traditional ones, have the advantage of being more effective by leveraging the social network as a new medium for reaching victims. For each of these research topics, in this book we provide both theoretical concepts as well as an overview of the main solutions that commercial/non-commercial actors have proposed over the years. We also discuss some of the most promising research directions in these fields.

Mining Lurkers in Online Social Networks

Mining Lurkers in Online Social Networks Book
Author : Andrea Tagarelli,Roberto Interdonato
Publisher : Springer
Release : 2018-11-09
ISBN : 3030002292
Language : En, Es, Fr & De

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Book Description :

This SpringerBrief brings order to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs) lurking phenomena. This brief also drives the development of computational approaches that can be effectively applied to answer questions related to lurking behaviors, as well as to the engagement of lurkers in OSNs. All large-scale online social networks (OSNs) are characterized by a participation inequality principle, i.e., the crowd of an OSN does not actively contribute, rather it takes on a silent role. Silent users are also referred to as lurkers, since they gain benefit from others' information without significantly giving back to the community. Nevertheless, lurkers acquire knowledge from the OSN, therefore a major goal is to encourage them to more actively participate. Lurking behavior analysis has been long studied in social science and human-computer interaction fields, but it has also matured over the last few years in social network analysis and mining. While the main target audience corresponds to computer, network, and web data scientists, this brief might also help increase the visibility of the topic by bridging different closely related research fields. Practitioners, researchers and students interested in social networks, web search, data mining, computational social science and human-computer interaction will also find this brief useful research material .

Machine Learning Techniques for Online Social Networks

Machine Learning Techniques for Online Social Networks Book
Author : Tansel Özyer,Reda Alhajj
Publisher : Springer
Release : 2018-05-30
ISBN : 3319899325
Language : En, Es, Fr & De

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Book Description :

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.

Lifeworlds in Online Social Networks in Germany

Lifeworlds in Online Social Networks in Germany Book
Author : Knut Linke
Publisher : BoD – Books on Demand
Release : 2019-02-20
ISBN : 3752861045
Language : En, Es, Fr & De

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Book Description :

"Lifeworlds in Online Social Networks in Germany: ONLINE MARKET SEGMENTATION THROUGH SOCIAL STRUCTURE ANALYSIS" provides information about the German Social Network Market during the raising period of WhatsApp and Instagram. The research targets on a comparison of existing lifeworld (oriented on the German SINUS MILIEUS) and their online behavior. The research is influenced by the social structure analysis of Pierre Bourdieu which questioner was used to ask Internet users in Germany regarding their preferences and behavior. For the analysis 1.607 fulfilled questionnaires could be used. The resulting analysis provides information about the online and offline preferences of digital vanguards and responsibility-driven individuals. Those preferences were distinguished regarding i. e. media usage, purchase behavior und social network interaction.

Examining the Use of Online Social Networks by Korean Graduate Students

Examining the Use of Online Social Networks by Korean Graduate Students Book
Author : Joong-Hwan Oh
Publisher : Routledge
Release : 2019-05-14
ISBN : 0429589107
Language : En, Es, Fr & De

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Book Description :

This book examines how former, current and prospective Korean graduate students navigate American universities, especially with regard to the student-advisor relationship. Based on extensive case study research conducted around Vivid Journal—an online social network for many domestic and international Korean graduate students—this volume highlights issues regarding access to various academic capitals (i.e., scholarship, publishing, participation in academic research), successful completion of graduate degrees, and academic or non-academic employment opportunities upon graduation. Through a rigorous analysis of members’ posting behavior, interaction, and role assignments, this book offers a new conceptual framework for online and social support networks, especially around the shaping and mediation of international student-advisor relationships.

Distributed discussions in online social networks

Distributed discussions in online social networks Book
Author : Florian Müller
Publisher : Unknown
Release : 2013
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Distributed discussions in online social networks book written by Florian Müller, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Privacy Risk Analysis of Online Social Networks

Privacy Risk Analysis of Online Social Networks Book
Author : Sourya Joyee De,Abdessamad Imine
Publisher : Morgan & Claypool Publishers
Release : 2020-10-22
ISBN : 1636390196
Language : En, Es, Fr & De

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Book Description :

The social benefit derived from Online Social Networks (OSNs) can lure users to reveal unprecedented volumes of personal data to an online audience that is much less trustworthy than their offline social circle. Even if a user hides his personal data from some users and shares with others, privacy settings of OSNs may be bypassed, thus leading to various privacy harms such as identity theft, stalking, or discrimination. Therefore, users need to be assisted in understanding the privacy risks of their OSN profiles as well as managing their privacy settings so as to keep such risks in check, while still deriving the benefits of social network participation. This book presents to its readers how privacy risk analysis concepts such as privacy harms and risk sources can be used to develop mechanisms for privacy scoring of user profiles and for supporting users in privacy settings management in the context of OSNs. Privacy scoring helps detect and minimize the risks due to the dissemination and use of personal data. The book also discusses many open problems in this area to encourage further research.

Temporal Modeling of Information Diffusion in Online Social Networks

Temporal Modeling of Information Diffusion in Online Social Networks Book
Author : Guolin Niu,牛国林
Publisher : Open Dissertation Press
Release : 2017-01-27
ISBN : 9781361349762
Language : En, Es, Fr & De

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Book Description :

This dissertation, "Temporal Modeling of Information Diffusion in Online Social Networks" by Guolin, Niu, 牛国林, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: The rapid development of online social networks (OSNs) renders them a powerful platform for information diffusion on a massive scale. OSNs generate enormous propagation traces. An important question is how to model the real-world information diffusion process. Although considerable studies have been conducted in this field, the temporal characteristics have not been fully addressed yet. This thesis addresses the issue of modeling the temporal dynamics of the information diffusion process. Based on empirical findings drawn from large-scale propagation traces of a popular OSN in China, we demonstrate that the temporal characteristics has a significant impact on the diffusion dynamics. Hence, a series of new temporal information diffusion models have been proposed by incorporating these temporal features. Experimental results demonstrate that these proposed models are more accurate and practical than existing discrete diffusion models. Moreover, one application of information diffusion models, i.e., the revenue maximization problem, is studied. Specifically, the thesis consists of three major parts: 1) preliminaries, i.e., introduction of research platform and collected dataset, 2) modeling social influence diffusion from three different temporal aspects, and 3) monetizing OSNs through designing intelligent pricing strategies in the diffusion process to realize the goal of revenue maximization. Firstly, the research platform is introduced and the statistical properties of the data derived from this platform are investigated. We choose Renren, the dominant social network website in China, as our research platform and study its information propagation mechanisms. Specifically, we concentrate on the propagation of "sharing video" behaviors, and collect data on more than 2.8 million Renren users and over 209 million diffusion traces. The analysis result shows that the video access patterns in OSNs differ significantly from Youtube-like systems, which makes understanding the video propagation behaviors in OSNs an important research task. Secondly, the temporal modeling of information diffusion is explored. By investigating temporal features using real diffusion traces, we find that three factors should be considered in building realistic diffusion models, including, information propagation latency, multiple influential sources and user diversities. We then develop models to explain the information propagation process by incorporating these factors, and demonstrate that the models reflect reality well. Finally, revenue maximization in the information diffusion process is studied. Specifically, the pricing factor is explicitly incorporated into the product diffusion process. To realize the goal of revenue maximization, we develop a Dynamic Programming Based Heuristic (DPBH) to obtain the optimal pricing sequence. Application of the DPBH in the revenue maximization problem shows that it performs well in both the expected revenue achieved and in running time. This leads to fundamental ramifications to many related OSN marketing applications. DOI: 10.5353/th_b5317018 Subjects: Online social networks

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations Book
Author : Haiyan Wang,Feng Wang,Kuai Xu
Publisher : Springer Nature
Release : 2020-03-16
ISBN : 3030388522
Language : En, Es, Fr & De

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Book Description :

The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based on intuitive social distances between clusters within the Euclidean space. The models are validated with data from major social media such as Twitter. In addition, mathematical analysis of these models is applied, revealing insights into information flow on social media. Two applications with geocoded Twitter data are included in the book: one describing the social movement in Twitter during the Egyptian revolution in 2011 and another predicting influenza prevalence. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era.

Design and Launch an Online Social Networking Business in a Week

Design and Launch an Online Social Networking Business in a Week Book
Author : Julien Sharp
Publisher : Entrepreneur Press
Release : 2009-06-24
ISBN : 1599182688
Language : En, Es, Fr & De

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Book Description :

Presenting the basics of becoming the next MySpace, this guide explains how to build and run a successful online networking site in just seven days. Using the technology and industry tricks and tips provided, readers will learn how to develop and find a host for their site, generate traffic and membership, and build advertising and other revenue streams.

Online Social Networking

Online Social Networking Book
Author : Carla Mooney
Publisher : Greenhaven Publishing LLC
Release : 2009-06-12
ISBN : 1420501208
Language : En, Es, Fr & De

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Book Description :

The Pew Research Center shows a steady rise in online social networking since 2005 with most people using Facebook at 68 percent, Instagram at 28 percent, Pinterest at 26 percent, and LinkedIn at 25 percent. Nearly 1.23 billion people are active Facebook users and 80 percent of those Facebook users check their accounts daily. This insightful edition deconstructs issues surrounding online social networking. Its visually appealing presentation and compelling examples provide context. Readers will be inspired to think critically about the way online social media affects their peers and the world around them.

An Introduction to Models of Online Peer to Peer Social Networking

An Introduction to Models of Online Peer to Peer Social Networking Book
Author : George Kesidis,Jean Walrand
Publisher : Morgan & Claypool Publishers
Release : 2010-07-15
ISBN : 1608450791
Language : En, Es, Fr & De

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Book Description :

This book concerns peer-to-peer applications and mechanisms operating on the Internet, particularly those that are not fully automated and involve significant human interaction. So, the realm of interest is the intersection of distributed systems and online social networking. Generally, simple models are described to clarify the ideas. Beginning with short overviews of caching, graph theory and game theory, we cover the basic ideas of structured and unstructured search. We then describe a simple framework for reputations and for iterated referrals and consensus. This framework is applied to a problem of sybil identity management. The fundamental result for iterated Byzantine consensus for a relatively important issue is also given. Finally, a straight-forward epidemic model is used to describe the propagation of malware on-line and for BitTorrent-style file-sharing. This short book can be used as a preliminary orientation to this subject matter. References are given for the interested student to papers with good survey and tutorial content and to those with more advanced treatments of specific topics. For an instructor, this book is suitable for a one-semester seminar course. Alternatively, it could be the framework for a semester's worth of lectures where the instructor would supplement each chapter with additional lectures on related or more advanced subject matter. A basic background is required in the areas of computer networking, probability theory, stochastic processes, and queueing. Table of Contents: Networking overview / Graphs / Games / Search in structured networks / Search in unstructured networks / Transactions, reputations, and referrals / False Referrals / Peer-to-peer file sharing / Consensus in dynamical belief systems / Byzantine consensus / Epidemics

Social Networks Blessing Or Curse

Social Networks     Blessing Or Curse  Book
Author : Ruben Picard
Publisher : GRIN Verlag
Release : 2011-06-30
ISBN : 3640947533
Language : En, Es, Fr & De

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Book Description :

In the past few years a great number of social networks have appeared on the internet. Though the term “social network“ seems to be something new, something, associated with the world wide web and new technologies, social networks have existed ever since men have. Any interacting group of people can be considered a social network and is defined by the relationships between the individuals. That makes it really interesting to find a system that was part of our lives from the cradle of humankind, being faced with such a young invention called the internet. Today, every fourth internet user is on Facebook1 - that is half a billion people. So if Facebook users were a nation, it would be the third most populated country in the world after China and India (and there are still more users of other social networks) – that is quite astonishing. I decided to write a research paper about social networks on the internet because I could hardly distinguish whether my own use of such services is either beneficial or reprehensible. These days, new services on the internet that promise to be very entertaining or apparently have a high potential to improve or simplify the way we work and communicate seem to be very attractive to a wide range of internet users. While some people are quite sceptical about online services like social networks, others tend to use them without even considering any potential risks. Are they just blinded by the revolutionary possibilities based on the “Web 2.0“ ,or do we actually not have anything to fear? The social network Facebook will serve as my basic example for the analysis of social networks because it is the most used and thereby most discussed social network on the world wide web; its structure also generally represents other, similar networks. These social networks are surprisingly entertaining, especially for younger people. But can we trust a completely new way of communication? Considering that almost all social networks are completely free, the question comes up how they can be financed. Do social networks help us organise our lives by providing virtual groups, calendars and event managers? Will these groups even be able to represent political interests? And what about the lack of privacy social networks possibly promote? Among other aspects, I want to deal with the above-mentioned questions by analysing the way social networks operate and weighing the benefits and disadvantages of social networks on the internet.