Análise cientométrica: produção científica e redes colaborativas a partir das publicações dos docentes dos programas de pós-graduação em Fonoaudiologia no Brasil

This study aimed to identify the post-graduation programs in Speech Pathology in Brazil, present the production of professors of these programs in the aspects of documentary typologies and present the evolution of this production up to year 2011, delineate the collaborative networks between professors and between institutions, as well as to present the indicators of networks. By accessing the Capes website, eight post-graduation programs were found, revealing a list with a total of 118 professors in Brazil. Data were extracted from the Lattes Platform using the ScriptLattes. The graphs were created in Excel, the networks were traced using the software Ucinet and the density and centrality indicators were calculated. It was observed that most courses are located in the South and Southeast regions of the country and, even though this is a recent field, it presents a significant collaborative network.

Rede de coautoria institucional em Ciência da Informação: uma comparação entre indicadores de rede e os conceitos CAPES

The objective of this is study is to point inter-institutional partnerships in Information Science formed through co-authorship network. More specifically, we calculate indicators of centrality degree, betweenness centrality and closeness centrality, and analyze the relationships between the grades attributed by CAPES - Coordination for the Improvement of Higher Education Personnel - to the institutions and the indicators on the network, checking whether there is proximity and similarity between network indicators and CAPES's grades. Our corpus consisted of all articles published in the four journals in the field of Information Science in Brazil, with regular publications, based in SciVerse Scopus, for the 2010- 2012 period. We retrieved 237 articles, 58 co-authored, with 117 participant institutions. We conducted the analysis of relations between institutions with greater grades by CAPES and the network through centrality indicators. It was concluded that these network indicators and CAPES concepts are articulated, harmonizing these two categories of indicators.

A produção científica: uma análise de coautorias do PPGCI/Campus de Marília entre 2001 a 2009

This research aimed to identify the scientific production for articles published in its typology of the Post Graduated Program in Information Science, Unesp, Marília. Particularly, it was evaluated co-authored articles written by researcher teachers from the Program and built networks of scientific collaboration and the calculation of some indicators. As research procedure, reports of CAPES evaluation between the years 2001 to 2009 were considered it articles produced in co-authorship. It was built up a network of co-authoring, using the software Pajek, and calculated the indicators of density and centrality of the network, allowing analysis of the intensity of network connectivity and the role of each player individually and the network as a whole. We analyzed the collaborative network in order to visualize the partnerships among the researchers from the three research lines and between them and their collaborators to verify the connection intensity.

Análise da influência de cargas especiais nos indicadores de qualidade das redes de distribuição de energia elétrica de baixa tensão

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Indicadores de bibliotecas universitárias: criação de índice de desenvolvimento baseado em redes de conhecimento compartilhado

Pós-graduação em Ciência da Informação - FFC

Indicadores de impacto, visibilidade e colaboração para a produção científica da Pós-graduação brasileira: um estudo nos programas de excelência na área de Zootecnia

Pós-graduação em Ciência da Informação - FFC

Aplicação de redes neurais artificiais no monitoramento da operação de dressagem

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicação de redes neurais em análise de viabilidade econômica de co-geração de energia elétrica

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Um mundo radicalmente melhor: criatividade, colaboração e padrão de redes como estratégias para o desenvolvimento sustentável

There are substantial evidences that the period experienced by humanity globally is unprecedented and is heading towards a major transformation that results from the Globalization. Totally conditioned to the addictions of the dominant and predatory capitalism, humanity has, for decades, exhausted natural resources, disregarded the nature of its own social existence and walked away from its humanity. It is notable, however, an impressive flow of factors that dialogue and support each other as trends that go towards sustainable development, based on the harmonious integration between Technology, Culture, Society, Environment and Economy. This emerging moment can be seen from the perspectives of the Creative Economy as economic paradigm centered on the subjectivity and the human capacity to undertake innovative services, products and solutions guided by social values. Within this fluid and dynamic global context, initiatives that legitimately intend to act sustainably are gaining space. This socioeconomic moment fosters and is fostered by new kinds of work and organization guided by the Collaboration and social structuring on Network Patterns. These new social models significantly transform the understanding and insights about the Communication flows. The HUB São Paulo, as creative and social organization that operates under the logic of Collaboration through a Network Structure, was the subject of a case study used to sustain the defense of this emerging scenario and also to perform an analysis on the new role of Communication, at perspectives of transformation of mental paradigms towards sustainability and establishment of meaningful connections

Aprendizagem de máquina para análise de indicadores na engenharia de software

Indicadores de desempenho são importantes recursos para a gestão da qualidade no desenvolvimento de software. O volume de dados produzido por esses indicadores tende a aumentar significativamente com o tempo de monitoração, dificultando análises e tomadas de decisão. As bases históricas tornam-se complexas, considerando a quantidade de dados monitorados e a diversidade de indicadores (diferentes tipos, granularidade e frequência). Este trabalho propõe o uso de técnicas de aprendizagem de máquina para análise dessas bases, utilizando redes neurais artificiais combinadas com técnicas de visualização de informação. É utilizado um modelo de indicadores, com base nos processos do modelo de referência MPS para Software (MPS-SW), agrupados segundo as perspectivas estratégicas do Balanced Scorecard (BSC).