The Web harbors a large number of community structures. Early detection of community structures has many purposes such as reliable searching and selective advertising. In this paper we investigate the problem of extracting and relating the web community structures from a large collection of Web-pages by performing hyper-link analysis. The proposed algorithm extracts the potential community signatures by extracting the corresponding dense bipartite graph (DBG) structures from the given data set of web pages. Further, the proposed algorithm can also be used to relate the extracted community signatures. We report the experimental results conducted on 10 GB TREC (Text REtrieval Conference) data collection that contains 1.7 million pages and 21.5 million links. The results demonstrate that the proposed approach extracts meaningful community signatures and relates them.

Community forming is one of the important activity in the Web. The Web harbors a large number of communities. A community is a group of content creators that manifests itself as a set of interlinked pages. Given a large collection of pages our aim is to find potential communities in the Web. In the literature, Ravi Kumar et al. [18] proposed a trawling method to find potential communities by abstracting a core of the community as a group of pages that form a complete bipartite graph (CBG) (web-page as a node and link as an edge between two nodes). The trawling approach extracts a small group of pages that form a CBG, which is a signature of a potential community.

Speed-to-Market is cited as being vital in today’s competitive, uncertain and turbulent environments. Scholars and industry professionals alike assert that companies can achieve competitive advantages by launching their product faster than their competitors. However, this paper presents a slightly different perspective on speed-to-market by considering another aspect of the speed equation-speed-to-learn or fast learning in new product development (NPD) teams. We assert that although speed-to-market can increase the probability of new product success, speed-to-learn is one of the critical factors that allows teams to get to market rapidly and be more successful. In this study, we propose a model for fast team learning in new product development based on constructs borrowed from accelerated learning models or suggestopedy in the individual learning scholarship. We then empirically test the model on 171 new product teams. We argue that 1) fastlearning teams launch new products quicker with an increased probability of success. And 2) specific mechanisms that are within the teams ’ control can help teams learn faster. Mechanisms uncovered include: vision clarity, learning from customer and competitor, and information coding.

"Combines how-to with be-smart for an audience of job

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the Digital Economy

This Wright Flyer Paper and others in the series are available electronically at the Air University Research Web site

With today's increasing pace of change, managers who are struggling to continuously adapt and survive are turning to an emerging management technique known as organizational improvisation. This field of management science draws from a metaphor based in improvisational theatre and jazz music and is defined as: The ability to spontaneously recombine knowledge, processes and structure in real time, resulting in creative problem solving that is grounded in the realities of the moment.

This dissertation analyses two different paradigms used for the development of a software product, Operating Systems. The targets of research are two groups that operate in very different ways, Microsoft Corporation and the Linux Community. Through the observation of the strategies and methodologies used by these actors in their work, and taking into account the constraints to which they are subject, assesses, from a dynamic perspective, the relative strengths and weaknesses of their competing paradigms. In the dissertation I will analyse the efficiency of the development processes that they have adopted for the design, improvement and enhancement of their products. A theoretical model based on Giovanni Dosis "Technological Paradigms" framework, incorporating institutional, industrial, social and cultural aspects, is constructed and specifically adapted to the software industry case. The private management of technology issues considered during the analysis of the development processes inside different organisations are linked to questions having to do with the evolution of high technology, networked, markets. This analysis lends to assessment of some rationales and potential strategies for public intervention in the Operating Systems industry, taking into account some relevant concerns that have been raised about competitive issues and dominant position in this market, one of strategic importance for the future development of the Information Society

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