Visualizing Co-Authorship Social Networks and Collaboration Recommendations With CNARe

Brandão, Michele A.; Diniz, Matheus Alves; Sousa, Guilherme A. de; Moro, Mirella M.

doi:10.4018/978-1-5225-2814-2.ch011

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Social network visualization. After classifying the co-authorships by using neighborhood overlap and fast-RECAST, we plot the visualization of the social networks with the relationship classes [4,14]. Thus, this thesis also contributed to the generation of a new tool called CNARe.…”

Section: Tie Strength Applicationmentioning

confidence: 99%

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Tie Strength in Co-authorship Social Networks: Analyses, Metrics and a New Computational Model

Brandão¹,

Moro²

2019

Anais Estendidos Do Simpósio Brasileiro De Sistemas Multimídia E Web (WebMedia)

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The study of social ties has lead to build rigorous models that reveal the evolution of social networks and their dynamism. A property related to social ties is the strength of ties, which has been largely explored in different contexts, such as information diffusion, analyses of patterns in communication logs and evaluation of scientific researchers productivity. Specially, analyzing tie strength allows investigating how distinct relationships play different roles and identifying impact at micro-macro levels in the network. We present and propose different ways to measure the strength of co-authorship ties in non-temporal and temporal real academic social networks. Specially, tie strength can be measured by topological and semantic properties, as well as their combination. Finally, this thesis reveals different concepts that define tie strength and properties that influence it, along with metrics, algorithms and a classification for distinct relationships.

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Section: Tie Strength Applicationmentioning

confidence: 99%

“…The results of this thesis appear on eleven publications: [9], [12] best paper honorable mention, [4], [6], [11], [10], [13], [7] best paper honorable mention, [8], [5] and [14]. This thesis has also contributed with a vast set of datasets 1 and a new visualization tool, called CNARe 2 .…”

Section: Introductionmentioning

confidence: 99%

Tie Strength in Co-authorship Social Networks: Analyses, Metrics and a New Computational Model

Brandão¹,

Moro²

2019

Anais Estendidos Do Simpósio Brasileiro De Sistemas Multimídia E Web (WebMedia)

Self Cite

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“…Figura 5.16: As linhas verdes representam colaborações recomendadas: quanto mais intenso, mais foi recomendado pelo algoritmo. As recomendações são geradas clicando em uma das opções com o nome dos algoritmos (figura extraída de Brandão et al [2018]). A geração das recomendações e tal visualização só foi possível devido a integração de dados de fontes distintas.…”

Section: Estimativa Da Força De Relacionamentos No Githubunclassified

Dados de Múltiplas Fontes da Web: Coleta, Integração e Pré-processamento

Batista¹,

Brandão²,

Pinheiro³

et al. 2018

Minicursos Do XXIV Simpósio Brasileiro De Sistemas Multimídia E Web

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Web data are heterogeneous and unstructured, which defines challenges for data crawling, integration and preprocessing. Different studies are "data-oriented" (i.e. based on the available data) but their results are restricted to their specific data. In contrast, there are various problems prior to identifying what data is needed to solve them, and often multiple data sources are needed. In this context, crawling, integrating and preprocessing data appropriately enables to create datasets for solving such problems. Therefore, this short course addresses these three activities by discussing challenges and practical solutions. ResumoAtividades de coleta, integração e pré-processamento representam diferentes desafios para pessoas que necessitam de lidar com dados extraídos da Web por serem heterogêneos e não estruturados. Ademais, existem diferentes fontes de dados na Web que podem ser sites e aplicativos, mídias e redes sociais e até mesmo bancos (ou bases) de dados já construídos e disponibilizados. Considerar dados dessas diferentes fontes pode parecer irrelevante quando avaliados de forma isolada. Entretanto, quando combinados, conhecimentos novos, integrados e úteis podem ser descobertos. Tais dados podem ser aplicados na solução de problemas em diferentes campos, como sistemas inteligentes, ao permitir a ampliação dos dados utilizados como treinamento; marketing, ao possibilitar a identificação de público alvo; sistemas de recomendação, ao viabilizar a construção do Anais do XXIV Simpósio Brasileiro de Sistemas Multimídia e Web: Minicursos

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