Alcides Castro e Silva

This article presents a set of performance indicators to guide the actors to increase their mutual cohesion and facilitate the pursuit of common goals. These indicators were defined based on the authors' expertise in analyzing tourism networks and the results obtained from research in Ouro Preto City, Brazil. In this way, it was possible to perceive the degree of significance of the actors involved in terms of the choice criteria used by visitors to configure their path within the tourist region surveyed and thus strengthen existing relationships.

Biological databases can be analysed as a complex network which may reveal some its underlying biological mechanisms. Frequently, such databases are identified as scale-free networks or as hierarchical networks depending on connectivity distributions or clustering coefficients. Since these databases do grow over time, one would expect that their network topology may undergo some changes. Here, we analysed the historical versions of miRBase, a database of microRNAs where we performed an alignment of all mature and precursor miRNAs and calculated a pairwise similarity index. We found that the clustering coefficient shows important changes during the growth of this database. For two consecutive versions of the year 2009 we found a strong modification of the network topology which we were able to associate to a technological change in miRNA discovery. To evaluate if these changes could have happened by chance, we performed a set of simulations of the database growth by sampling the final version of miRBase and creating several alternative histories of miRBase. None of the simulations were close to the actual historical evolution of this database, which we understand as a clear indication of a very strong construction bias.

O presente artigo tem como objetivo propor um modelo de alinhamento competitivo para a rede de atores do turismo, visando aumentar sua coesão e facilitar a busca de objetivos comuns. Tal proposta foi definida com base na expertise dos autores na análise de redes de turismo, aliada a resultados obtidos na pesquisa em Ouro Preto (MG). Dessa forma, foi possível perceber o peso dos atores envolvidos em função dos critérios de escolha utilizados pelos visitantes para configurar seu caminho dentro da região turística analisada e, assim, reforçar os relacionamentos existentes.