Abstract—Network communities refer to groups of vertices within which their connecting links are dense but between which they are sparse. A network community mining problem (or NCMP for short) is concerned with the problem of finding all such communities from a given network. A wide variety of applications can be formulated as NCMPs, ranging from social and/or biological network analysis to web mining and searching. So far, many algorithms addressing NCMPs have been developed and most of them fall into the categories of either optimization ba ....etc

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Abstract--
The importance of refrigeration i s fundamental in meeting the United Nations Millennium development goals, particularly for t h e millions of the world’s poor living in the t r o p i c s . dissigno set out determine the physically v i a b i l i t y to produce sufficient refrigeration to make ice from a Ranque-Hilsch Vortex tube. The base o b j e c t i v e s were, 1 kg of ice produced per work cycle, cost l e s s than $500 installed, minimal moving parts, only use renewable energy, & limit impact to t h e environment. The ....etc

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Reputation management schemes has recently been proposed as a mechanism for improving trust and security in peer-to-peer networks. This talk focuses on an often-ignored aspect of reputation management: the treatment of new entrants in the system. A new entrant can either be given benefit of doubt and be treated like a trusted peer until it misbehaves or it can be assumed to be untrusted and have to earn the trust of others. The former works well when the vast majority of peers are honest but is vulnerable to dishonest peers discarding their old ....etc

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Content distribution networks (CDNs) balance costs and quality in services related to content delivery. Devising an efficient content outsourcing policy is crucial since, based on such policies, CDN providers can provide client-tailored content, improve performance, and result in significant economical gains. Earlier content outsourcing approaches may often prove ineffective since they drive prefetching decisions by assuming knowledge of content popularity statistics, which are not always available and are extremely volatile. This work addresse ....etc

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Abstract
The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the ....etc

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