Social Networks: Cultural Diversity, Trust, Reciprocity and Social Capital.

Rapid growth of the Internet has led to the proliferation of various applications including use of social networks sites. Social networks sites facilitate communications between users with shared interests. Social networks sites are popular components of the Web 2.0 phenomenon where users share content. The rapid growth of social network sites usage necessitates a further analysis of factors affecting usage of these sites and creation of social networks. We propose a theoretical model on the effects of cultural diversity, trust, reciprocity, and social capital on users’ willingness to participate in the activities of social network sites

UCAV Path Planning by Fitness-Scaling Adaptive Chaotic Particle Swarm Optimization

Path planning plays an extremely important role in the design of UCAVs to accomplish the air combat task fleetly and reliably. The planned path should ensure that UCAVs reach the destination along the optimal path with minimum probability of being found and minimal consumed fuel. Traditional methods tend to find local best solutions due to the large search space. In this paper, a Fitness-scaling Adaptive Chaotic Particle Swarm Optimization (FAC-PSO) approach was proposed as a fast and robust approach for the task of path planning of UCAVs. The FAC-PSO employed the fitness-scaling method, the adaptive parameter mechanism, and the chaotic theory. Experiments show that the FAC-PSO is more robust and costs less time than elite genetic algorithm with migration, simulated annealing, and chaotic artificial bee colony. Moreover, the FAC-PSO performs well on the application of dynamic path planning when the threats cruise randomly and on the application of 3D path planning