The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Containing much valuable information, networks such as the World Wide Web, social networks and metabolic networks draw increasingly attention in scientific communities. Network clustering (or graph partitioning) is the discovery of underlying clusters of related vertices in networks. But beyond organizing vertices into clusters of peers is the question of what role each vertex play in the network...
Summary form only given. Dynamic disease models integrate disparate information sources, such as epidemiology, treatment dynamics and market behavior, to create a virtual test bed that can be used to identify leverage points and market prospects for to-be-launched products. These models are effective in exploring a wide scenario space that influence key strategic marketing decisions. We present a...
The growing self organizing map (GSOM) has proven Itself as an adaptive and robust knowledge discovery algorithm with applications in diverse disciplines. The unrestricted network topology of the learning phase of GSOM enables clustering of data vectors based on the notion of similarity. The hierarchical clustering capability of the GSOM allows drill down examination of clusters at different levels...
The study of epidemics is a crucial issue to several areas. An epidemic can have devastating economic and social consequences. A single crop disease in Kansas could destroy the yearly income of many farmers. Previous work using graph theory has determined a universal epidemic threshold found in the graph topology for a binary contact network in the compartmental susceptible-infected (SI) analysis...
In this paper we study the spread of viruses on the complete bi-partite graph KM,N. Using mean field theory we first show that the epidemic threshold for this type of graph satifies tauc = 1/radic(MN), hence, confirming previous results from literature. Next, we find an expression for the average number of infected nodes in the steady state. In addition, our model is improved by the introduction of...
Cancer is caused by a variety of factors whose study requires a large amount of data. Compiling these data is an expensive and time-consuming task which can be carried out in a better way with the support of Information and Communication Technologies (ICT). However, most epidemiologic studies take place without this support of informatics or with basic tools that are developed by unqualified professionals...
Feature identification is a technique to identify the source code constructs activated when exercising one of the features of a program. We propose new statistical analyses of static and dynamic data to accurately identify features in large multithreaded object-oriented programs. We draw inspiration from epidemiology to improve previous approaches to feature identification and develop an epidemiological...
Motivated by recent surfacing viruses that can spread over the air interfaces, in this paper; we investigate the potential disastrous threat of node compromise spreading in wireless sensor networks. Originating from a single infected node, we assume such a compromise can propagate to other sensor nodes via communication and pre-established mutual trust. We focus on the possible epidemic breakout of...
The process of hypothesis-driven epidemiological research has three phases - the establishment and characterisation of a large, representative cohort from a geographically distributed population; the integration of the cohort data with other data sources to provide additional characterisation; the formulation of a hypothesis and generation of the corresponding predictions. Grid-computing technologies...
The popularity of peer-to-peer (P2P) networks makes them an attractive target to the creators of viruses and other malicious code. Indeed, recently a number of viruses designed specifically to spread via P2P networks have emerged. In this paper we present a model which predicts how a P2P-based virus propagates through a network. This model is a modified version of the S-E-I (susceptible-exposed-infected)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.