From Security To Community Detection In Social Networking Platforms
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Author | : Panagiotis Karampelas |
Publisher | : Springer |
Total Pages | : 242 |
Release | : 2019-04-09 |
Genre | : Computers |
ISBN | : 3030112861 |
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 | : Rosa M. Benito |
Publisher | : Springer Nature |
Total Pages | : 702 |
Release | : 2020-12-19 |
Genre | : Technology & Engineering |
ISBN | : 3030653471 |
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.
Author | : Thirimachos Bourlai |
Publisher | : Springer Nature |
Total Pages | : 237 |
Release | : 2022-09-06 |
Genre | : Computers |
ISBN | : 3031078691 |
This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sentinel surveillance and wireless application-based surveillance science. It also highlights topics that integrate statistical and epidemiological sciences with surveillance practice and, in order to reflect the evolution of social networking practices, discusses topics concerning the challenges for surveillance theory and practice. In turn, the book goes a step further by providing insights on how we need to analyse epidemiological trends by following best practices on distinguishing useful information from noise, namely fake news, false reporting of disease incidents and events, etc. At the same time, we need to be able to protect health-focused applications and communication tools via cybersecurity technologies and to ensure that anonymity of reporting and privacy are preserved. In closing, the book discusses the role and impact of social media on disease surveillance, as well as the current role of communities in infectious disease surveillance and control.
Author | : Henrik Jeldtoft Jensen |
Publisher | : Cambridge University Press |
Total Pages | : 461 |
Release | : 2022-11-17 |
Genre | : Science |
ISBN | : 1108834760 |
This introductory textbook provides detailed coverage of the rapidly growing field of complexity science and accommodates readers from a wide variety of backgrounds, and with varying levels of mathematical skill. The book contains a broad range of end of chapter problems and extended projects, with solutions available to instructors online.
Author | : Mehmet Çakırtaş |
Publisher | : Springer Nature |
Total Pages | : 246 |
Release | : 2021-07-05 |
Genre | : Mathematics |
ISBN | : 3030670449 |
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.
Author | : Abdelazim Negm |
Publisher | : Springer Nature |
Total Pages | : 584 |
Release | : 2022-06-14 |
Genre | : Science |
ISBN | : 3031038657 |
This book provides essential information and recent findings on hydro-environmental issues in the Lower Danube River, particularly its hydrological and hydromorphological processes; physico-chemical features; climate and water-related hazards; and not only the biodiversity and quality but also the sustainable management and governance of its hydro-environment. Accordingly, it presents a broad range of scientific information on the lower sector of the second-longest river in Europe, which holds major economic importance and has been severely impacted by human pressures, especially since the second part of the last century. The engineering works (e.g. dams, reservoirs, levees, channelization, etc.) on the Danube and its tributaries, despite their benefits to society, have altered its flow and significantly reduced its sediment load, with consequences for hydromorphological processes and aquatic ecosystems. These ecosystems have also been affected by pollution from various sources. To promote sustainable management of the Danube River and its watershed, several strategies and measures have been developed by a number of institutions, from the European level to the national and regional levels (commissions, national authorities, non-governmental organizations, etc.). Compared to the upper and middle sectors of the Danube, the lower sector has received less attention in the international scientific literature in terms of hydro-environmental issues. The book fills this gap and provides current and original insights and findings from recent studies conducted by scientists from three countries drained by the Lower Danube River and its tributaries: Bulgaria, Romania and Serbia. This unique book will be of great scientific interest to professional engineers, policy planners and policymakers in the three countries mentioned above, helping them to implement their own sustainable development plans. It also offers a valuable resource for graduate students, researchers and stakeholders.
Author | : Suresh Balusamy |
Publisher | : Springer Nature |
Total Pages | : 130 |
Release | : 2020-10-27 |
Genre | : Computers |
ISBN | : 9811597006 |
This book constitutes the proceedings of the 4th International Conference on Computational Intelligence, Cyber Security, and Computational Models, ICC3 2019, which was held in Coimbatore, India, in December 2019. The 9 papers presented in this volume were carefully reviewed and selected from 38 submissions. They were organized in topical sections named: computational intelligence; cyber security; and computational models.
Author | : Valerio Arnaboldi |
Publisher | : Elsevier |
Total Pages | : 118 |
Release | : 2015-09-25 |
Genre | : Computers |
ISBN | : 0128030429 |
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
Author | : Yoshiharu Ishikawa |
Publisher | : Springer |
Total Pages | : 866 |
Release | : 2013-03-22 |
Genre | : Computers |
ISBN | : 3642374018 |
This book constitutes the refereed proceedings of the 15th Asia-Pacific Conference APWeb 2013 held in Sydney, Australia, in April 2013. The 80 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on distributed processing; graphs; Web search and Web mining; XML, RDF data and query processing; social networks; probabilistic queries; multimedia and visualization; spatial-temporal databases; data mining and knowledge discovery; privacy and security; performance, query processing and optimization. There are also sections summarizing the tutorials and containing the papers from the following workshops: second international workshop on data management for emerging network infrastructure, international workshop on soical media analytics and recommendation technologies, and international workshop on management of spatial temporal data.
Author | : Kai Shu |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 131 |
Release | : 2019-07-03 |
Genre | : Computers |
ISBN | : 1681735830 |
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.