The huge amount of research papers on the web makes finding a relevant manuscript a
difficult task. In recent years many models were introduced to support researchers by …

This paper aims to provide a comprehensive critical overview on how entities and their
interactions in Complex Networked Systems (CNS) are modelled across disciplines as they …

Social networks have become very important for networking, communications, and content
sharing. Social networking applications generate a huge amount of data on a daily basis …

Recommender system is an emerging field of research with the advent of World Wide Web
and E-commerce. Recently, an increasing usage of social networking websites plausibly …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

During the last decades, recommender systems are becoming quite popular since they
provide great assistance to users on social networks and library websites. Unfortunately, the …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Next (or successive) point-of-interest (POI) recommendation, which aims to predict where
users are likely to go next, has recently emerged as a new research focus of POI …

Recommender systems have been used since the beginning of the Web to assist users with
personalized suggestions related to past preferences for items or products including books …

We propose a novel framework for composing crowdsourced wireless energy services to
satisfy users' energy requirements in a crowdsourced Internet of Things (IoT) environment. A …