This paper addresses emerging trends in the collective dynamics found in knowledge networks, those networks composed of the relationships among knowledge sources, such as citation networks and keyword networks. In studying the formation and detection of new trends in the process of knowledge...

To explore the evolution of consumers' transition behaviour under collaborative e-commerce, on the basis of actual Chinese collaborative e-commerce vendors Rakuten, Flashpoint 100 and so on a framework of e-commerce consumer transition behaviour is proposed. Related literature in sum has...

This paper studies the discrete time Markov decision processes (MDP) with expected discounted total reward, where the state space is countable, the action space is measurable, the reward function is extended real-valued, and the discount rate may be any real number. Two conditions (GC) and (C)...

On the basis of studying influence of means of transportation on urban distribution and form, this paper focuses on influence of highway on modern urban areas. Results show that construction of highway accelerates urbanization, forms organic traffic network connecting large, medium and small...

The dissatisfied adaptive snowdrift game (DASG) describes the adaptive actions driven by the level of dissatisfaction when two connected agents interact. We study the DASG in static networks both numerically and analytically. In a random network of uniform degree k, the system evolves into a...

Mo-modified catalysts of Mo/TNU-9 were prepared for the non-oxidative aromatization of methane. The effects of different Si/Al ratios, Mo loadings and temperatures on the catalytic performance of Mo/TNU-9 catalysts were also investigated. Furthermore, for comparison, Mo/ZSM-5 was synthesized for...

Feature selection is fundamental for modeling the high-dimensional data, where the number of features can be huge and much larger than the sample size. Since the feature space is so large, many traditional procedures become numerically infeasible. It is hence essential to first remove most...

This paper studies the discrete time Markov decision processes (MDP) with expected discounted total reward, where the state space is countable, the action space is measurable, the reward function is extended real-valued, and the discount rate may be any real number. Two conditions (GC) and (C)...