A Simplified Complex Network-Based Approach to mRNA and ncRNA Transcript Classification

Breve, Murilo Montanini; Lopes, Fabrício Martins

doi:10.1007/978-3-030-65775-8_18

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…Complex network theory has been successfully applied in many areas, particularly within representation of networks of different types, such as biological systems [ 45 – 48 ], computer vision [ 49 – 52 ], the electric power grid [ 53 ], the Internet [ 54 ], subway systems [ 55 ], and neural networks [ 56 ], to cite but a few. Another area in which they are also applied is the representation of friendship networks or collaborations between individuals.…”

Section: Methodsmentioning

confidence: 99%

Analysis of co-authorship networks among Brazilian graduate programs in computer science

Silva¹,

Breve²,

Mena‐Chalco³

et al. 2022

PLoS ONE

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The growth and popularization of platforms on scientific production has been the subject of several studies, producing relevant analyses of co-authorship behavior among groups of researchers. Researchers and their scientific productions can be analysed as co-authorship social networks, so researchers are linked through common publications. In this context, co-authoring networks can be analysed to find patterns that can describe or characterize them. This work presents the analysis and characterization of co-authorship networks of academic Brazilian graduate programs in computer science. Data from Brazilian researchers were collected and modeled as co-authoring networks among the graduate programs that researchers take part in. Each network topology was analysed with complex network measurements and three proposed qualitative indices that evaluate the publication’s quality. In addition, the co-authorship networks of the computer science graduate programs were characterized in relation to the assessment received by CAPES, which attributes a qualitative grade to the graduate programs in Brazil. The results show the most relevant topological measurements for the program’s characterization and the evaluations received by the programs in different qualitative degrees, relating the main topological patterns of the co-authorship networks and the CAPES grades of the Brazilian graduate programs in computer science.

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