Tie strength dynamics over temporal co-authorship social networks

Brandão, Michele A.; Melo, Pedro O. S. Vaz de; Moro, Mirella M.

doi:10.1145/3106426.3106536

Cited by 6 publications

(6 citation statements)

References 28 publications

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“…They typically propose to select the most important edges for the study [65,59,58,56,61]. Examples include the use of Kcore searches for dense subgraphs [66,67] and the removal of edges based on a global threshold τ, either applied directly to edge weights [68,69,70] or to more sophisticated metrics such as the neighborhood overlap of a pair of nodes [71,72]. These methods are particularly adequate when the concept of salient edge is well-defined by the problem context, e.g., large edge weight [68,70].…”

Section: Network Backbone Extractionmentioning

confidence: 99%

On the dynamics of political discussions on Instagram: A network perspective

Ferreira

Murai

Silva

et al. 2021

Online Social Networks and Media

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Instagram has been increasingly used as a source of information especially among the youth. As a result, political figures now leverage the platform to spread opinions and political agenda. We here analyze online discussions on Instagram, notably in political topics, from a network perspective. Specifically, we investigate the emergence of communities of co-commenters, that is, groups of users who often interact by commenting on the same posts and may be driving the ongoing online discussions. In particular, we are interested in salient co-interactions, i.e., interactions of co-commenters that occur more often than expected by chance and under independent behavior. Unlike casual and accidental co-interactions which normally happen in large volumes, salient co-interactions are key elements driving the online discussions and, ultimately, the information dissemination. We base our study on the analysis of 10 weeks of data centered around major elections in Brazil and Italy, following both politicians and other celebrities. We extract and characterize the communities of co-commenters in terms of topological structure, properties of the discussions carried out by community members, and how some community properties, notably community membership and topics, evolve over time. We show that communities discussing political topics tend to be more engaged in the debate by writing longer comments, using more emojis, hashtags and negative words than in other subjects. Also, communities built around political discussions tend to be more dynamic, although top commenters remain active and preserve community membership over time. Moreover, we observe a great diversity in discussed topics over time: whereas some topics attract attention only momentarily, others, centered around more fundamental political discussions, remain consistently active over time.

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Section: Network Backbone Extractionmentioning

confidence: 99%

On the dynamics of political discussions on Instagram: A network perspective

Ferreira

Murai

Silva

et al. 2021

Online Social Networks and Media

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“…A análise de comunidades científicas, e das redes sociais formadas por elas,é um tópico de pesquisa em evidência. [Brandão et al 2017] analisaram a força das relações de quatro redes de coautoria extraídas de bases de dados como DBLP, PubMed e APS em alguns meses dos anos 2015 e 2016. Utilizando fast-RECAST*, as relações da rede foram separadas em quatro categorias: forte, ponte, fraco e aleatório.…”

Section: Trabalhos Relacionadosunclassified

Escola Regional de Banco de Dados em 15 edições: Um Levantamento Bibliométrico

Souza

Gasparini

Duarte³

et al. 2021

Anais Da XVI Escola Regional De Banco De Dados (ERBD 2021)

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Este artigo apresenta uma análise da produção bibliográfica da Escola Regional de Banco de Dados (ERBD), que em 2019 completou 15 edições. Para tanto, foram coletados os principais metadados dos artigos publicados nestes 15 anos de evento. Dada a inexistência de um repositório que reúna todos estes dados, este trabalho contribui com a construção de um banco de dados com informações de todas as edições do evento. As estatísticas de artigos, autores e colaborações fornecidas por este artigo podem contribuir para o auto-conhecimento desta comunidade e favorecer a reﬂexão de sua evolução.

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“…Changing the context to temporal SNs, this thesis proposes two algorithms to measure tie strength: fast-RECAST [6] and STACY [12]. Both algorithms classify the ties by comparing the values of SNs features with values from random networks.…”

Section: Tie Strength Over Temporal Co-authorship Social Networkmentioning

confidence: 99%

“…We also investigate tie strength dynamism over time through analyzing tie persistence and transformation in different classes by applying fast-RECAST and STACY [6,13]. Surprisingly, most ties tend to perish over time.…”

Section: Tie Strength Over Temporal Co-authorship Social Networkmentioning

confidence: 99%

See 1 more Smart Citation

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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Tie strength dynamics over temporal co-authorship social networks

Cited by 6 publications

References 28 publications

On the dynamics of political discussions on Instagram: A network perspective

On the dynamics of political discussions on Instagram: A network perspective

Escola Regional de Banco de Dados em 15 edições: Um Levantamento Bibliométrico

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

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