The flow of information through active users in online social networks (OSNs) plays a major
role in forming natural social groups, popularly known as communities. Although structural …

Influence maximization (IM) is a challenge in social networks, which depends on the
spreader selection. We propose a quadratic programming model to identify a fixed number …

Massive disaster-related data and model methods are available in different stages of natural
disaster emergency management; however, they often lack the representation of the …

Assigning ship** orders to the most appropriate driver in the shortest time but with the
highest profit is one of the major concerns of transportation companies. Many studies have …

Modern military operations are dynamic processes involving heterogeneous systems
connected via multiple channels, which can be abstracted as equipment system of systems …

One of the key issues in transportation systems is allocating ship** orders to the most
appropriate drivers in the shortest time and with the maximum profit. Many studies were …

The information deployment on social networks through word-of-mouth spreading by online
users has contributed well to forming opinions, social groups, and connections. This process …

Drivers can make significant impacts on transportation systems. They can leave important
information due to their social behaviors. But, the role of drivers has been overlooked yet. In …

With the increasing seriousness of medical insurance fraud, the demand for anti-fraud has
gradually increased. In order to seek higher fraud amounts, fraud is often committed in the …

This study aims to devise a multi-objective optimisation model through the use of drivers'
information diffusion capacity in transportation service procurement [TSP]. In this model, in …