Detecting The Social

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From Security to Community Detection in Social Networking Platforms

Author : Panagiotis Karampelas,Jalal Kawash,Tansel Özyer
Publisher : Springer
Page : 242 pages
File Size : 40,6 Mb
Release : 2019-04-09
Category : Computers
ISBN : 9783030112868

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From Security to Community Detection in Social Networking Platforms by Panagiotis Karampelas,Jalal Kawash,Tansel Özyer Pdf

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

Detecting the Social

Author : Mary Evans,Sarah Moore,Hazel Johnstone
Publisher : Springer
Page : 196 pages
File Size : 51,5 Mb
Release : 2018-09-15
Category : Social Science
ISBN : 9783319945200

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Detecting the Social by Mary Evans,Sarah Moore,Hazel Johnstone Pdf

This book analyses the ways in which twenty-first century detective fiction provides an understanding of the increasingly complex and often baffling contemporary world — and what sociology, as a discipline, can learn from it. Conventional sociological accounts of fiction generally comprehend its value in terms of the ways in which it can illustrate, enlarge or help to articulate a particular social theory. Evans, Moore, and Johnstone suggest a different approach, and demonstrate that by taking a group of detective novels, we can unveil so far unidentified, but crucial, theoretical ideas about what it means to be an individual in the twenty-first century. More specifically, the authors argue that detective fiction of the last forty years illuminates the effects of urban isolation and separation, the invisibility of institutional power, financial insecurity, and the failure of public authorities to protect people. In doing so, this body of fiction traces out the fault-lines in our social arrangements, rehearses our collective fears, and captures a mood of restless disquiet. By engaging with detective stories in this way, the book revisits ideas about the promise and purpose of sociology.​

Detecting Fake News on Social Media

Author : Kai Shu,Huan Liu
Publisher : Springer Nature
Page : 121 pages
File Size : 55,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031019159

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Detecting Fake News on Social Media by Kai Shu,Huan Liu Pdf

In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/

Early Detection of Mental Health Disorders by Social Media Monitoring

Author : Fabio Crestani,David E. Losada,Javier Parapar
Publisher : Springer Nature
Page : 337 pages
File Size : 41,7 Mb
Release : 2022-09-14
Category : Technology & Engineering
ISBN : 9783031044311

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Early Detection of Mental Health Disorders by Social Media Monitoring by Fabio Crestani,David E. Losada,Javier Parapar Pdf

eRisk stands for Early Risk Prediction on the Internet. It is concerned with the exploration of techniques for the early detection of mental health disorders which manifest in the way people write and communicate on the internet, in particular in user generated content (e.g. Facebook, Twitter, or other social media). Early detection technologies can be employed in several different areas but particularly in those related to health and safety. For instance, early alerts could be sent when the writing of a teenager starts showing increasing signs of depression, or when a social media user starts showing suicidal inclinations, or again when a potential offender starts publishing antisocial threats on a blog, forum or social network. eRisk has been the pioneer of a new interdisciplinary area of research that is potentially applicable to a wide variety of situations, problems and personal profiles. This book presents the best results of the first five years of the eRisk project which started in 2017 and developed into one of the most successful track of CLEF, the Conference and Lab of the Evaluation Forum.

Topic Detection and Classification in Social Networks

Author : Dimitrios Milioris
Publisher : Springer
Page : 105 pages
File Size : 49,8 Mb
Release : 2017-10-05
Category : Technology & Engineering
ISBN : 9783319664149

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Topic Detection and Classification in Social Networks by Dimitrios Milioris Pdf

This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on media consumption, spam detection, to security, privacy and protection of personal information. Furthermore, the book discusses innovative techniques to address those challenges and provides novel solutions based on information theory, sequence analysis and combinatorics, which are applied on real data obtained from Twitter.

Social Network Analysis - Community Detection and Evolution

Author : Rokia Missaoui,Idrissa Sarr
Publisher : Springer
Page : 272 pages
File Size : 43,5 Mb
Release : 2015-01-13
Category : Computers
ISBN : 9783319121888

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Social Network Analysis - Community Detection and Evolution by Rokia Missaoui,Idrissa Sarr Pdf

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

From Social Data Mining and Analysis to Prediction and Community Detection

Author : Mehmet Kaya,Özcan Erdoǧan,Jon Rokne
Publisher : Springer
Page : 245 pages
File Size : 49,7 Mb
Release : 2017-03-21
Category : Computers
ISBN : 9783319513676

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From Social Data Mining and Analysis to Prediction and Community Detection by Mehmet Kaya,Özcan Erdoǧan,Jon Rokne Pdf

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

Community detection and mining in social media

Author : Lei Tang,Huan Liu
Publisher : Springer Nature
Page : 126 pages
File Size : 47,9 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031019005

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Community detection and mining in social media by Lei Tang,Huan Liu Pdf

The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining

Social Networks: A Framework of Computational Intelligence

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 440 pages
File Size : 42,9 Mb
Release : 2013-12-09
Category : Technology & Engineering
ISBN : 9783319029931

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Social Networks: A Framework of Computational Intelligence by Witold Pedrycz,Shyi-Ming Chen Pdf

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.

Social Media Analysis for Event Detection

Author : Tansel Özyer
Publisher : Springer Nature
Page : 232 pages
File Size : 47,9 Mb
Release : 2022-10-18
Category : Computers
ISBN : 9783031082429

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Social Media Analysis for Event Detection by Tansel Özyer Pdf

This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by using machine learning techniques from clustering to deep learning. A variety of theoretical aspects, application domains and case studies are covered to highlight how it is affordable to maximize the benefit of various applications from postings on social media platforms. Social media platforms have significantly influenced and reshaped various social aspects. They have set new means of communication and interaction between people, turning the whole world into a small village where people with internet connect can easily communicate without feeling any barriers. This has attracted the attention of researchers who have developed techniques and tools capable of studying various aspects of posts on social media platforms with main concentration on Twitter. This book addresses challenging applications in this dynamic domain where it is not possible to continue applying conventional techniques in studying social media postings. The content of this book helps the reader in developing own perspective about how to benefit from machine learning techniques in dealing with social media postings and how social media postings may directly influence various applications.

Detecting Fake News on Social Media

Author : Kai Shu,Huan Liu
Publisher : Morgan & Claypool Publishers
Page : 131 pages
File Size : 54,7 Mb
Release : 2019-07-03
Category : Computers
ISBN : 9781681735832

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Detecting Fake News on Social Media by Kai Shu,Huan Liu Pdf

This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.

Social Robotics

Author : Shuzhi Sam Ge,Oussama Khatib,John-John Cabibihan,Reid Simmons,Mary Anne Williams
Publisher : Springer
Page : 663 pages
File Size : 54,8 Mb
Release : 2012-11-04
Category : Computers
ISBN : 9783642341038

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Social Robotics by Shuzhi Sam Ge,Oussama Khatib,John-John Cabibihan,Reid Simmons,Mary Anne Williams Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Social Robotics, ICSR 2012, held in Chengdu, China, in October 2012. The 66 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on affective and cognitive sciences for socially interactive robots, situated interaction and embodiment, robots to assist the elderly and persons with disabilities, social acceptance of robots and their impact to the society, artificial empathy, HRI through non-verbal communication and control, social telepresence robots, embodiments and networks, interaction and collaboration among robots, humans and environment, human augmentation, rehabilitation, and medical robots I and II.

Social Perception

Author : M.D. Rutherford,Valerie A. Kuhlmeier
Publisher : MIT Press
Page : 423 pages
File Size : 49,9 Mb
Release : 2013-08-30
Category : Psychology
ISBN : 9780262019279

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Social Perception by M.D. Rutherford,Valerie A. Kuhlmeier Pdf

An interdisciplinary exploration of perceptual and cognitive processes underlying the ability to perceive social information, drawing on current research and new experimental techniques. As we enter a room full of people, we instantly have a number of social perceptions. We have an automatic perception of others as subjective agents with their own points of view, thoughts, and goals, and we can quickly interpret minimal visual information to infer that something is animate. This book explores the perceptual and cognitive processes that allow humans to perceive and understand this social information quickly and apparently effortlessly. Top researchers in fields ranging from developmental psychology to vision science consider the perception of biological and animate motion, inferences based on this motion, and the early development of these abilities. These innovative contributions reflect a recent renewal of interest in the attribution of agency and the understanding of goal-directed behavior, which has been accompanied by a rapid increase in empirical discoveries enabled by such new experimental techniques as brain imaging. The research presented in Social Perception suggests that an intuitive understanding of others is an integral part of human psychology, develops early, relies on a network of brain regions, and may be compromised in autism. Contributors Dare Baldwin, Lara Bardi, H. Clark Barrett, Erin Cannon, You-jung Choi, Willem E. Frankenhuis, Tao Gao, Emily D. Grossman, Antonia Hamilton, Petra Hauf, Valerie A. Kuhlmeier, Jeff Loucks, Scott A. Love, Yuyan Luo, Elena Mascalzoni, Phil McAleer, Richard Ramsey, Lucia Regolin, M.D. Rutherford, Kara Sage, Brian J. Scholl, Maggie Shiffrar, Francesca Simion, Jessica Sommerville, James P. Thomas, Nikolaus Troje, Amanda Woodward

Detecting the Nation

Author : Caroline Reitz
Publisher : Ohio State University Press
Page : 150 pages
File Size : 40,9 Mb
Release : 2004
Category : Fiction
ISBN : 9780814209820

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Detecting the Nation by Caroline Reitz Pdf

In Detecting the Nation, Reitz argues that detective fiction was essential both to public acceptance of the newly organized police force in early Victorian Britain and to acclimating the population to the larger venture of the British Empire. In doing so, Reitz challenges literary-historical assumptions that detective fiction is a minor domestic genre that reinforces a distinction between metropolitan center and imperial periphery. Rather, Reitz argues, nineteenth-century detective fiction helped transform the concept of an island kingdom to that of a sprawling empire; detective fiction placed imperialism at the center of English identity by recasting what had been the suspiciously un-English figure of the turn-of-the-century detective as the very embodiment of both English principles and imperial authority. She supports this claim through reading such masters of the genre as Godwin, Dickens, Collins, and Doyle in relation to narratives of crime and empire such as James Mill's History of British India, narratives about Thuggee, and selected writings of Kipling and Buchan. Detective fiction and writings more specifically related to the imperial project, such as political tracts and adventure stories, were inextricably interrelated during this time.

Social Computing and Behavioral Modeling

Author : Huan Liu,John Salerno,Michael J. Young
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 41,9 Mb
Release : 2009-04-05
Category : Computers
ISBN : 9781441900562

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Social Computing and Behavioral Modeling by Huan Liu,John Salerno,Michael J. Young Pdf

Social computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment of various - cial activities. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and inter- pendent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nati- states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines, social computing, and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodo- gies in terms of social, physical, psychological, and governmental mechanisms. The goal is to enable us to experiment, create, and recreate an operational environment with a better understanding of the contributions from each individual discipline, forging joint interdisciplinary efforts. This is the second international workshop on Social Computing, Behavioral ModelingandPrediction. The submissions were from Asia, Australia, Europe, and America. Since SBP09 is a single-track workshop, we could not accept all the good submissions. The accepted papers cover a wide range of interesting topics.