Networks constructed from credit relationships in the interbank market have been found to exhibit disassortative mixing together with a scale-free degree distribution, in contrast to most social networks that are assortative and not necessarily scale-free. This provokes the question whether generating mechanisms for scale-free networks have enough flexibility to generate both assortative and di...

In many game theoretic contexts, population uncertainty is of economic interest. In particular, games in which the number of players have Poisson distribution are of such interest. This paper shows that the cluster points of properly conditioned equilibrium profiles of certain semi-anonymous congestion games with fixed numbers of players are exactly the equilibria of corresponding Poisson games...

OpenDist provides efficient procedures and tools to synchronize our software file servers. This simple goal becomes challenging because of the size and complexity of supported software, the diversity of platforms, and because of network constraints. Our current solution is based on rdist (1) [1]. However, it is not possible anymore to synchronize file servers nightly, because it takes several d...

Degree centralization is a simple and widely used index of degree distribution concentration in social networks. Conventionally, the centralization score is normalized by the maximum value attainable at the observed order; this results in a measure on the unit interval. Here, exact bounds are provided for degree centralization given density as well as order. It is shown that roughly half of the...

With the rapid growth of network traffic volumes in terms of the content and mobile data, how to cope with these two new trends of Internet has been widely discussed. Among related solutions, Named Data Networking (NDN) is aimed to achieve highly effective content distribution. Besides, the mobility support is also one of its important research contents, attracting great attentions. Thus, in th...

One of the basic assumptions in Bayesian inspection models is that we have some prior knowledge about the number of defects in a certain product or software system. The prior knowledge can be often described as a probability distribution (e.g., Poisson distribution). In the paper, we propose three conditions that should be put forth as desirable properties for a prior probability distribution o...

in this research, both resource allocation and reactive resource allocation problems in multi-server dynamic pert networks are analytically modeled, where new projects are expected to arrive according to a poisson process, and activity durations are also known as independent random variables with exponential distributions. such system is represented as a queuing network, where multi servers at ...