Random Information Spread in Networks
نویسندگان
چکیده
Let G = (V,E) be an undirected loopless graph with possible parallel edges and s, t ∈ V . Assume that s is labelled at the initial time step and that every labelled vertex copies its labelling to neighbouring vertices along edges with one labelled endpoint independently with probability p in one time step. In this paper, we establish the equivalence between the expected s-t first arrival time of the above spread process and the notion of the stochastic shortest s-t path. Moreover, we give a short discussion of analytical results on special graphs including the complete graph and s-t series-parallel graphs. Finally we propose some lower bounds for the expected s-t first arrival time.
منابع مشابه
LPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring
Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...
متن کاملA computational model and convergence theorem for rumor dissemination in social networks
The spread of rumors, which are known as unverified statements of uncertain origin, may threaten the society and it's controlling, is important for national security councils of countries. If it would be possible to identify factors affecting spreading a rumor (such as agents’ desires, trust network, etc.) then, this could be used to slow down or stop its spreading. Therefore, a computational m...
متن کاملRandom graphs
We have so far seen a number of examples of random processes on networks, including the spread of information, competition between opinions, and random walks. In all these cases, we see that the structure of the network plays an important role in determining the long-term behaviour or final outcome, and the speed of convergence to this outcome. For example, the mixing time of a random walk is d...
متن کاملReplicating disease spread in empirical cattle networks by adjusting the probability of infection in random networks.
Comparisons between mass-action or "random" network models and empirical networks have produced mixed results. Here we seek to discover whether a simulated disease spread through randomly constructed networks can be coerced to model the spread in empirical networks by altering a single disease parameter - the probability of infection. A stochastic model for disease spread through herds of cattl...
متن کاملRandom graphs
We have so far seen a number of examples of random processes on networks, including the spread of information, competition between opinions, and random walks. In all these cases, we see that the structure of the network plays an important role in determining the long-term behaviour or final outcome, and the speed of convergence to this outcome. For example, the mixing time of a random walk is d...
متن کاملUsing Social Networks for Modeling and Optimization in a Healthcare Setting
Social networks encode important information about the relationships between individuals. The structure of social networks has important implications for how ideas, information, and even diseases spread within a population. Data on online social networks is becoming increasingly available, but fine-grained data from which physical proximity networks can be inferred is still a largely elusive go...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1008.2081 شماره
صفحات -
تاریخ انتشار 2010