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Identification of communities is significant in understanding the structures and functions of networks.
The use of some additional information for the identification of communities may be a trade-off solution considering the complexity and limitations of the community detection problem.
For instance, the analysis of topological features enables the identification of communities [2], the intensity of collaborations among authors [11] and how the network evolves over the years [25].
Based on the models of communities and users' profiles, new algorithms matching community specifications with users' profiles will be proposed for 1) identification of communities of interest, and 2) creation of new communities.
densest k-subgraph is a well known optimization problem with various applications as, for example, in the design of public encryption schemes, the evaluation of certain financial derivatives, the identification of communities with similar characteristics, etc.
The identification of communities of publications can help the researcher to easily identify publications studying genes in a gene community that is of interest to the researcher.
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In this study, the taxonomic identification of community members as species of Clostridium is based on a limited number of clones that may not represent the whole community.
Evaluation of bridging capital requires examination of such aspects of community governance and decision making, identification of community institutions, characterisation of community-institutional relationship and assessment of institutional networks and organisational density (Krishna and Shrader 1999, 2000).
We describe the identification of community information requirements for ODM2 and then present the core information model and demonstrate how it can be formally extended to accommodate a range of information requirements and use cases.
Our results show that specific T-RFs can be efficiently isolated and identified, and that the adapter ligation approach holds great potential for genetic profiling and for identification of community components of interest.
The object of this article was to determine the predictive value of risk factors for recurrent falls and the construction of a fall risk model as a contribution to a mobility assessment for the identification of community-dwelling elderly at risk for recurrent falling in general practice.
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