Partition of online social networks using simulations based on chainable processing modules
André F. de Angelis, Guilherme Oliani Neto, Rebecca M. Alonso, Rebeca P. Paschoaletto
ARTIGO
Inglês
Abstract: Working with Complex Networks simulations focused on Online Social Networks (OSNs), we reached the limits of the architectural features of our software tool, because its project is not suitable to the inclusion of new resources as dynamic topological operations, on-the-fly visualizations,...
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Abstract: Working with Complex Networks simulations focused on Online Social Networks (OSNs), we reached the limits of the architectural features of our software tool, because its project is not suitable to the inclusion of new resources as dynamic topological operations, on-the-fly visualizations, recognition of yet-to-be-developed algorithms, and concurrency programming support. We analyzed our current simulator and prepared a requirement list targeting to the development of a new one, privileging two features: flexibility and extensibility. We developed and applied the concept of independent processing modules that can form a processing chain according to Design Patterns and Java interface standards. These Chainable Processing Modules are the novelty and foundation of our architecture, that complies very well with the new simulator requirements. In this work, we present our software architecture and highlight its potential to help the development of open projects of simulators of any type of Complex Networks. Furthermore, we have implemented part of the proposed architecture and shown that new researches were fast carried out because of the reached flexibility
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Partition of online social networks using simulations based on chainable processing modules
André F. de Angelis, Guilherme Oliani Neto, Rebecca M. Alonso, Rebeca P. Paschoaletto
Partition of online social networks using simulations based on chainable processing modules
André F. de Angelis, Guilherme Oliani Neto, Rebecca M. Alonso, Rebeca P. Paschoaletto
Fontes
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Journal of computational interdisciplinary sciences v. 7, n. 3, p. 1-12, Nov./Dec. 2016 |