Community-based endogamy as an influence indicator

Silva, Thiago H.; Moro, Mirella M.; Silva, Ana Paula C.; Meira, Wagner; Laender, Alberto H. F.

doi:10.1109/jcdl.2014.6970152

Cited by 19 publications

(12 citation statements)

References 14 publications

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“…These apparently contradictory results make it necessary to generate further scientific evidence with regard to this collaboration variable. Moreover, in relation with science policies, this tight cooperation introduces the need to maintain the ties, as problems may occur due to changes in the workplace, retirement, or other reasons that interrupt the collaboration (Silva et al, 2014).…”

Section: Control Indicatorsmentioning

confidence: 99%

Assessment of Researchers Through Bibliometric Indicators: The Area of Information and Library Science in Spain as a Case Study (2001–2015)

González‐Alcaide

Gorraiz

2018

Front. Res. Metr. Anal.

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Research activities are subject to constant processes of evaluation, which increasingly include the use of bibliometric indicators to support decision-making. This paper presents a model for the individual evaluation of different facets of researchers' work and discusses the interest in using "control" parameters to identify deviations suggesting inappropriate conduct. The proposed model is illustrated through an empirical example that analyzes the activity of Spanish researchers in the area of Library and Information Science. There are important differences among the most productive authors, and in many cases, there is no association between the degree of participation in high-impact journals and citation indicators. The control indicators help to identify behaviors such as excessive self-citation, endogamy with regard to the principal journal of publication, and co-dependence with other investigators. We have identified different roles related to the concept of leadership, measured by means of the participation as first or corresponding author, prestige, direct contribution, active direction, supervision, or management.

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Section: Control Indicatorsmentioning

confidence: 99%

Assessment of Researchers Through Bibliometric Indicators: The Area of Information and Library Science in Spain as a Case Study (2001–2015)

González‐Alcaide

Gorraiz

2018

Front. Res. Metr. Anal.

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“…Considering again only Computer Science-oriented studies, people have also focused on studying communities as given by traditional community finding algorithms [3], all authors who publish in the same venue [1,7,13], or the groups of authors who publish papers with common words in their titles [12]. Here, we go one level over the concept of communities and consider the venues in which the researchers publish as well as the classes of venues given by two official rankings.…”

Section: Related Workmentioning

confidence: 99%

Authorship contribution dynamics on publication venues in computer science

Silva

Moro

Silva

2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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We contribute to understanding the evolution of science by analyzing the authorship contribution dynamics on communities given by publication venues. We introduce the concept of authorship contribution and three important properties that are applied over publications and their venues. Then, we are able to identify two moving properties and two profiles. The resulting insights shed some light on researchers' behaviors and how they move around publication venues.

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“…Another metric that has been largely used to measure the intensity of co-authorship between ties is the absolute frequency of interaction (the number of publications between pairs of researchers) [29,32]. Besides its simple calculation, another advantage is the representation of the exact frequency of collaboration between ties.…”

Section: Introductionmentioning

confidence: 99%

The strength of co-authorship ties through different topological properties

Brandão

Moro

2017

J Braz Comput Soc

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Social networks are complex structures that describe individuals (graph nodes) connected in any social context (graph edges). Different metrics can be applied to those networks and their properties in order to understand behavior and even predict the future. One of such properties is tie strength, which allows to identify prominent individuals, analyze how relationships play different roles, predict links, and so on. Here, we specifically address the problem of measuring tie strength in co-authorship social networks (nodes are researchers and edges represent their co-authored publications). We start by presenting four cases that emphasize the problems of current metrics. Then, we propose a new metric for tie strength, called tieness, that is simple to calculate and better differentiates the degrees of strength. Accompanied with a nominal scale, tieness also provides better results when compared to the existing metrics. Our analyses consider three real social networks built from publications collected from digital libraries on Computer Science, Medicine, and Physics. Finally, we also make all datasets publicly available.

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Community-based endogamy as an influence indicator

Cited by 19 publications

References 14 publications

Assessment of Researchers Through Bibliometric Indicators: The Area of Information and Library Science in Spain as a Case Study (2001–2015)

Assessment of Researchers Through Bibliometric Indicators: The Area of Information and Library Science in Spain as a Case Study (2001–2015)

Authorship contribution dynamics on publication venues in computer science

The strength of co-authorship ties through different topological properties

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