Detecting Community

Author : Panagiotis Karampelas,Jalal Kawash,Tansel Özyer
Publisher : Springer
Page : 242 pages
File Size : 43,5 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.

Author : Rokia Missaoui,Idrissa Sarr
Publisher : Springer
Page : 282 pages
File Size : 54,7 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.

Author : Mehmet Kaya,Özcan Erdoǧan,Jon Rokne
Publisher : Springer
Page : 245 pages
File Size : 46,8 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.

Author : Huan Liu,John Salerno,Michael J. Young
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 40,9 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.

Author : João Gama,Vitor Santos Costa,Alipio Jorge,Pavel Brazdil
Publisher : Springer
Page : 487 pages
File Size : 54,6 Mb
Release : 2009-10-07
Category : Computers
ISBN : 9783642047473

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Discovery Science by João Gama,Vitor Santos Costa,Alipio Jorge,Pavel Brazdil Pdf

This book constitutes the refereed proceedings of the twelfth International Conference, on Discovery Science, DS 2009, held in Porto, Portugal, in October 2009. The 35 revised full papers presented were carefully selected from 92 papers. The scope of the conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their applications.

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 440 pages
File Size : 40,6 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.

Author : Maoguo Gong,Qing Cai,Lijia Ma,Shanfeng Wang,Yu Lei
Publisher : Springer
Page : 283 pages
File Size : 45,9 Mb
Release : 2017-09-19
Category : Computers
ISBN : 9789811045585

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Computational Intelligence for Network Structure Analytics by Maoguo Gong,Qing Cai,Lijia Ma,Shanfeng Wang,Yu Lei Pdf

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.

Author : Patrick Doreian,Vladimir Batagelj,Anuska Ferligoj
Publisher : John Wiley & Sons
Page : 425 pages
File Size : 52,9 Mb
Release : 2020-02-03
Category : Mathematics
ISBN : 9781119224709

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Advances in Network Clustering and Blockmodeling by Patrick Doreian,Vladimir Batagelj,Anuska Ferligoj Pdf

Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.

Author : Lei Tang,Huan Liu
Publisher : Springer Nature
Page : 126 pages
File Size : 46,5 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

Author : Xudong Luo,Jeffrey Xu Yu,Zhi Li
Publisher : Springer
Page : 741 pages
File Size : 44,7 Mb
Release : 2014-12-17
Category : Computers
ISBN : 9783319147178

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Advanced Data Mining and Applications by Xudong Luo,Jeffrey Xu Yu,Zhi Li Pdf

This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.

Author : Tiago P. Peixoto
Publisher : Cambridge University Press
Page : 146 pages
File Size : 50,6 Mb
Release : 2023-08-31
Category : Science
ISBN : 9781009121453

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Descriptive vs. Inferential Community Detection in Networks by Tiago P. Peixoto Pdf

Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This Element closes the gap between the state-of-the-art in community detection on networks and the methods actually used in practice.

Author : Samuel Goodman Patterson
Publisher : Unknown
Page : 108 pages
File Size : 52,6 Mb
Release : 1986
Category : Biogeography
ISBN : WISC:89036595585

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Mangrove Community Boundary Interpretation and Detection of Areal Changes on Marco Island, Florida by Samuel Goodman Patterson Pdf

Author : World Health Organization
Publisher : World Health Organization
Page : 7 pages
File Size : 40,8 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9789240013612

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Nigeria - Improving TB detection among nomadic communities through innovative community-based interventions by World Health Organization Pdf

Author : Emmanuel Abbe
Publisher : Foundations and Trends (R) in Communications and Information Theory
Page : 172 pages
File Size : 45,6 Mb
Release : 2018-06-04
Category : Electronic
ISBN : 1680834762

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Community Detection and Stochastic Block Models by Emmanuel Abbe Pdf

This self-contained, compact monograph is an invaluable introduction to the field of Community Detection for researchers and students working in Machine Learning, Data Science and Information Theory.

Author : Josep M. Gasol,David L. Kirchman
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 50,5 Mb
Release : 2018-01-31
Category : Science
ISBN : 9781119107194

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Microbial Ecology of the Oceans by Josep M. Gasol,David L. Kirchman Pdf

The newly revised and updated third edition of the bestselling book on microbial ecology in the oceans The third edition of Microbial Ecology of the Oceans features new topics, as well as different approaches to subjects dealt with in previous editions. The book starts out with a general introduction to the changes in the field, as well as looking at the prospects for the coming years. Chapters cover ecology, diversity, and function of microbes, and of microbial genes in the ocean. The biology and ecology of some model organisms, and how we can model the whole of the marine microbes, are dealt with, and some of the trophic roles that have changed in the last years are discussed. Finally, the role of microbes in the oceanic P cycle are presented. Microbial Ecology of the Oceans, Third Edition offers chapters on The Evolution of Microbial Ecology of the Ocean; Marine Microbial Diversity as Seen by High Throughput Sequencing; Ecological Significance of Microbial Trophic Mixing in the Oligotrophic Ocean; Metatranscritomics and Metaproteomics; Advances in Microbial Ecology from Model Marine Bacteria; Marine Microbes and Nonliving Organic Matter; Microbial Ecology and Biogeochemistry of Oxygen-Deficient Water Columns; The Ocean’s Microscale; Ecological Genomics of Marine Viruses; Microbial Physiological Ecology of The Marine Phosphorus Cycle; Phytoplankton Functional Types; and more. A new and updated edition of a key book in aquatic microbial ecology Includes widely used methodological approaches Fully describes the structure of the microbial ecosystem, discussing in particular the sources of carbon for microbial growth Offers theoretical interpretations of subtropical plankton biogeography Microbial Ecology of the Oceans is an ideal text for advanced undergraduates, beginning graduate students, and colleagues from other fields wishing to learn about microbes and the processes they mediate in marine systems.