Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

2018-09-17
 |  Social Science
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Author: Nitin Agarwal

Publisher: Springer

ISBN: 9783319941059

Category: Social Science

Page: 278

View: 394

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The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Emerging Research in Data Engineering Systems and Computer Communications

2020-02-10
 |  Computers
Emerging Research in Data Engineering Systems and Computer Communications

Author: P. Venkata Krishna

Publisher: Springer Nature

ISBN: 9789811501357

Category: Computers

Page: 694

View: 825

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This book gathers selected papers presented at the 2nd International Conference on Computing, Communications and Data Engineering, held at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India from 1 to 2 Feb 2019. Chiefly discussing major issues and challenges in data engineering systems and computer communications, the topics covered include wireless systems and IoT, machine learning, optimization, control, statistics, and social computing.

Disinformation, Misinformation, and Fake News in Social Media

2020-06-17
 |  Computers
Disinformation, Misinformation, and Fake News in Social Media

Author: Kai Shu

Publisher: Springer Nature

ISBN: 9783030426996

Category: Computers

Page: 288

View: 909

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This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains. The contributors to this volume describe the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens.

Security in IoT Social Networks

2020-11-03
 |  Science
Security in IoT Social Networks

Author: Fadi Al-Turjman

Publisher: Academic Press

ISBN: 9780128216033

Category: Science

Page: 266

View: 137

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Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The book will help start-ups grow, providing research directions concerning security mechanisms and protocols for social information networks. The book covers structural analysis of large social information networks, elucidating models and algorithms and their fundamental properties. Moreover, this book includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models. This book is a detailed reference for academicians, professionals, and young researchers. The wide range of topics provides extensive information and data for future research challenges in present-day social information networks. Provides several characteristics of social, network, and physical security associated with social information networks Presents the security mechanisms and events related to social information networks Covers emerging topics, such as network information structures like on-line social networks, heterogeneous and homogeneous information networks, and modern information networks Includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models

Proceedings of International Conference on Computational Intelligence and Data Engineering

2020-12-20
 |  Computers
Proceedings of International Conference on Computational Intelligence and Data Engineering

Author: Nabendu Chaki

Publisher: Springer Nature

ISBN: 9789811587672

Category: Computers

Page: 470

View: 903

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This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2020). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.

Combating Fake News with Computational Intelligence Techniques

2021
 |  Artificial intelligence
Combating Fake News with Computational Intelligence Techniques

Author: Mohamed Lahby

Publisher: Springer Nature

ISBN: 9783030900878

Category: Artificial intelligence

Page: 432

View: 497

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This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.

Natural Language Processing and Chinese Computing

2019-10-02
 |  Computers
Natural Language Processing and Chinese Computing

Author: Jie Tang

Publisher: Springer Nature

ISBN: 9783030322335

Category: Computers

Page: 858

View: 979

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This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.

Principles of Social Networking

2021-08-18
 |  Technology & Engineering
Principles of Social Networking

Author: Anupam Biswas

Publisher: Springer Nature

ISBN: 9789811633980

Category: Technology & Engineering

Page: 442

View: 667

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This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.

Computational Collective Intelligence

2020-11-23
 |  Computers
Computational Collective Intelligence

Author: Ngoc Thanh Nguyen

Publisher: Springer Nature

ISBN: 9783030630072

Category: Computers

Page: 905

View: 298

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This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.

Resilience and Hybrid Threats

2019-12-19
 |  Computers
Resilience and Hybrid Threats

Author: I. Linkov

Publisher: IOS Press

ISBN: 9781643680231

Category: Computers

Page: 218

View: 189

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Hybrid threats represent one of the rising challenges to the safe and effective management of digital systems worldwide. The deliberate misuse or disruption of digital technologies has wide-ranging implications for fields as diverse as medicine, social media, and homeland security. Despite growing concern about cyber threats within many government agencies and international organizations, few strategies for the effective avoidance and management of threats or the prevention of the disruption they can cause have so far emerged. This book presents multiple perspectives based upon a NATO Science for Peace and Security Programme Advanced Research Workshop on ‘Resilience and Hybrid Threats’ held in Pärnu, Estonia from 26-29 August 2018, and includes a mixture of workshop summary papers and invited perspectives from world experts. Topics include the development of strategies for the protection and recovery of systems affected by hybrid threats, and the benefits of those strategies under different disruption scenarios. The role of risk and resilience assessment pertaining to the information domain is a common focus across all perspectives. Offering an overview of resilience-based decision making through an approach that integrates the threats and dependencies related to infrastructural, informational, and social considerations, the book will be of interest to all those whose work involves the security of digital systems.

Exploring the Role of Social Media in Health Promotion

2020-06-18
 |  Medical
Exploring the Role of Social Media in Health Promotion

Author: Michael Stellefson

Publisher: MDPI

ISBN: 9783039363285

Category: Medical

Page: 178

View: 958

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The use of social media in public health education/promotion has been increasing due, in part, to its ability to remove physical access and geographical barriers for users. Specifically, social media provides an outlet to increase and promote translational health communication strategies and the effective dissemination of health information and data in ways that allow users to not only utilize, but also to create and share pertinent health information. Although social media applications in public health and health promotion have yielded success in terms of generating support structures and networks for effective health behavior change, there are challenges and complications associated with use of social media that also need to be addressed (e.g., managing misinformation, ensuring compliance with privacy protection regulations). This Special Issue aims to explore social media as a translational health promotion tool by bridging principles of health education and health communication. Broadly, this Special Issue is seeking original submissions that examine: (1) the method with which social media users access, negotiate, and create health information that is both actionable and impactful for diverse audiences; (2) strategies for overcoming challenges to using social media in health promotion; and (3) best practices for designing, implementing, and/or evaluating social media campaigns and forums in public health. Special interest will be given to innovative submissions that expand and build upon traditional health education approaches with health communication theories and models. Other manuscript types of interest include relevant position papers, brief reports, and commentaries.

Computational Science – ICCS 2021

2021-06-10
 |  Computers
Computational Science – ICCS 2021

Author: Maciej Paszynski

Publisher: Springer Nature

ISBN: 9783030779702

Category: Computers

Page: 656

View: 795

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The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapter: Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.