NDLI: Construção de Micro Rede Social Acadêmica para Análise a Influência dos Artigos e Autores

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Construção de Micro Rede Social Acadêmica para Análise a Influência dos Artigos e Autores

Content Provider	Semantic Scholar
Author	Dantas, Icaro Araújo Wei-Gang, Li Saleh, Ahmed Abdelfattah
Copyright Year	2015
Abstract	Google Scholar and other research information network supplies vast information in Internet. In many cases, information that is more detailed is not always available for querying and analysing. This research propose to use Follow Model as engine to rank networks nodes. As the Follow Model has the potential presenting ability for the online social networks. It is adapted with the indexes and models of PageRank, and Inventor Rank to study MSSN in Air Traffic Management field. The case study shows that Follow Model is a robust model and how to ranking a heterogeneous academic network. Resumo – O Google Acadêmico e outras redes de pesquisa por materiais acadêmicos disponibilizam grande quantidade de informação na Internet. Em diversos casos não é possível fazer consulta e análise mais detalhada das informações. Esta pesquisa propõe utilizar Follow Model como ferramente para categorizar os nós de uma rede. Como o Follow Model apresenta grande potencial para trabalharmos com redes sociais online, ele foi adaptado para podermos fazer classificação de nós, assim como os modelos do PageRank, e InventorRank, no estudo da MRSA. O estudo demonstra como o Follow Model é robusto e como podemos melhorar consultas de material acadêmico.
File Format	PDF HTM / HTML
DOI	10.5753/brasnam.2015.6794
Alternate Webpage(s)	https://sol.sbc.org.br/index.php/brasnam/article/download/6794/6687
Alternate Webpage(s)	https://doi.org/10.5753/brasnam.2015.6794
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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