Rumours, consensus and epidemics on networks
نویسنده
چکیده
The Poisson process is one of the most widely used models of a continuous time stochastic process. Along with Brownian motion, it can be considered as a fundamental example of such processes. The Poisson process is a counting process Nt, t ≥ 0, (a non-decreasing integer-valued process which counts the number of ‘points’ or ‘events’ up to time t) indexed by the time parameter t, which will be positive real-valued in most of our examples.
منابع مشابه
Networks and Epidemics
2 Inaugurated by D. Bernoulli (1700-1782), the analysis of epidemics and their dissemination have been studied by various mathematicians. The benets from epidemic modelling are threefold: understanding mechanisms of spread of epidemics, predicting their future course and developing strategies to control them. Recently, epidemic algorithms (also known as gossip algorithms) have been proposed as ...
متن کاملRumours, consensus and epidemics on networks: Exercises
2. (a) We say that a random variable N has a Geometric distribution with parameter p, written N ∼ Geom(p) if P (N = k) = p(1− p)k−1, k = 1, 2, 3, . . . Let N ∼ Geom(p), and let T1, T2, T3, . . . be iid Exp(λ) random variables, independent of N . Let T = ∑N k=1 TN . Using moment generating functions or otherwise, show that T is exponentially distributed with parameter λp. (Hint. Recall that the ...
متن کاملEpidemics and Rumours: A Survey
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your perso...
متن کاملGlobal efficiency of local immunization on complex networks
Epidemics occur in all shapes and forms: infections propagating in our sparse sexual networks, rumours and diseases spreading through our much denser social interactions, or viruses circulating on the Internet. With the advent of large databases and efficient analysis algorithms, these processes can be better predicted and controlled. In this study, we use different characteristics of network o...
متن کاملAdaptive Leader-Following and Leaderless Consensus of a Class of Nonlinear Systems Using Neural Networks
This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012