From Social Data Mining and Analysis to Prediction and Community Detection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook From Social Data Mining and Analysis to Prediction and Community Detection write by Mehmet Kaya. This book was released on 2017-03-21. From Social Data Mining and Analysis to Prediction and Community Detection available in PDF, EPUB and Kindle. 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.
State of the Art Applications of Social Network Analysis
State of the Art Applications of Social Network Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook State of the Art Applications of Social Network Analysis write by Fazli Can. This book was released on 2014-05-14. State of the Art Applications of Social Network Analysis available in PDF, EPUB and Kindle. Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.
Community detection and mining in social media
Community detection and mining in social media - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Community detection and mining in social media write by Lei Tang. This book was released on 2022-06-01. Community detection and mining in social media available in PDF, EPUB and Kindle. 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
From Security to Community Detection in Social Networking Platforms
From Security to Community Detection in Social Networking Platforms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook From Security to Community Detection in Social Networking Platforms write by Panagiotis Karampelas. This book was released on 2019-04-09. From Security to Community Detection in Social Networking Platforms available in PDF, EPUB and Kindle. 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.
Advances in Social Network Mining and Analysis
Advances in Social Network Mining and Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Social Network Mining and Analysis write by C. Lee Giles. This book was released on 2010-08-10. Advances in Social Network Mining and Analysis available in PDF, EPUB and Kindle. This work constitutes the proceedings of the Second International Workshop on Advances in Social Network and Analysis, held in Las Vegas, NV, USA in August 2008.
