Swarm intelligence-based algorithms within IoT-based systems: A review
IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
Evaluating critical security issues of the IoT world: Present and future challenges
Social Internet of Things (SIoT) is a new paradigm where Internet of Things (IoT) merges
with social networks, allowing people and devices to interact, and facilitating information …
with social networks, allowing people and devices to interact, and facilitating information …
Rating and perceived helpfulness in a bipartite network of online product reviews
In many e-commerce platforms user communities share product information in the form of
reviews and ratings to help other consumers to make their choices. This study develops a …
reviews and ratings to help other consumers to make their choices. This study develops a …
Identification of influential users in social network using gray wolf optimization algorithm
A challenging issue in viral marketing is to effectively identify a set of influential users. By
sending the advertising messages to this set, one can reach out the largest area of the …
sending the advertising messages to this set, one can reach out the largest area of the …
Factors that determine a patient's willingness to physician selection in online healthcare communities: a trust theory perspective
Y Gong, H Wang, Q **a, L Zheng, Y Shi - Technology in Society, 2021 - Elsevier
Health care users and patients are increasingly using online health communities to seek
medical service, especially during the COVID-19 epidemic. The factors that determine the …
medical service, especially during the COVID-19 epidemic. The factors that determine the …
Modelling and simulation of opportunistic IoT services with aggregate computing
Abstract The Internet of Things (IoT) is emerging as a ubiquitous and dense ecosystem in
which novel devices and smart objects interoperate to establish smart cities, smart buildings …
which novel devices and smart objects interoperate to establish smart cities, smart buildings …
Profiling reviewers' social network strength and predicting the “Helpfulness” of online customer reviews
Online customer reviews have become a popular source of information that influences the
purchasing decisions of many prospective customers. However, the rapidly increasing …
purchasing decisions of many prospective customers. However, the rapidly increasing …
Edge computing and social internet of things for large-scale smart environments development
Large-scale smart environments (LSEs) are open and dynamic systems typically extending
over a wide area and including a huge number of interacting devices with a heterogeneous …
over a wide area and including a huge number of interacting devices with a heterogeneous …
A neural networks approach for improving the accuracy of multi-criteria recommender systems
Accuracy improvement has been one of the most outstanding issues in the recommender
systems research community. Recently, multi-criteria recommender systems that use …
systems research community. Recently, multi-criteria recommender systems that use …
Assessing information diffusion models for influence maximization in signed social networks
Influence maximization is an important issue in social network analysis domain which
concerns finding the most influential nodes. Determining the influential nodes is made with …
concerns finding the most influential nodes. Determining the influential nodes is made with …