Network Intelligence Meets User Centered Social Media Networks
Network Intelligence Meets User Centered Social Media Networks

Author: Reda Alhajj

Publisher: Springer

Published: 2018-07-31

Total Pages: 239

ISBN-13: 3319903128

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This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.

Complex Networks and Their Applications VIII
Complex Networks and Their Applications VIII

Author: Hocine Cherifi

Publisher: Springer Nature

Published: 2019-11-26

Total Pages: 1047

ISBN-13: 3030366839

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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 Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and 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.

User-Centric and Information-Centric Networking and Services
User-Centric and Information-Centric Networking and Services

Author: M. Bala Krishna

Publisher: CRC Press

Published: 2019-04-29

Total Pages: 311

ISBN-13: 1351801333

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User-Centric Networks (UCN) and Information-Centric Networks (ICN) are new communication paradigms to increase the efficiency of content delivery and also content availability. In this new concept, the network infrastructure actively contributes to content caching and distribution. This book presents the basic concepts of UCN and ICN, describes the main architecture proposals for these networks, and discusses the main challenges to their development. The book also looks at the current challenges for this concept, including naming, routing and caching on the network-core elements, several aspects of content security, user privacy, and practical issues in implementing UCN and ICN.

Digital and Social Media Marketing
Digital and Social Media Marketing

Author: Nripendra P. Rana

Publisher: Springer Nature

Published: 2019-11-11

Total Pages: 337

ISBN-13: 3030243745

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This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.

Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity
Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity

Author: Benson, Vladlena

Publisher: IGI Global

Published: 2016-08-31

Total Pages: 551

ISBN-13: 1522505601

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Social media platforms have emerged as an influential and popular tool in the digital era. No longer limited to just personal use, the applications of social media have expanded in recent years into the business realm. Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity examines the role of social media technology in organizational settings to promote business development and growth. Highlighting a range of relevant discussions from the public and private sectors, this book is a pivotal reference source for professionals, researchers, upper-level students, and academicians.

Web, Artificial Intelligence and Network Applications
Web, Artificial Intelligence and Network Applications

Author: Leonard Barolli

Publisher: Springer

Published: 2019-03-14

Total Pages: 1217

ISBN-13: 3030150356

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The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.

Recommender Systems for Location-based Social Networks
Recommender Systems for Location-based Social Networks

Author: Panagiotis Symeonidis

Publisher: Springer Science & Business Media

Published: 2014-02-08

Total Pages: 109

ISBN-13: 1493902865

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Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.