Detecting and analyzing research communities in longitudinal scientific networks

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Network-based assessment of collaborative research in neuroscience

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P2860

Detecting and analyzing research communities in longitudinal scientific networks

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2017 nî lūn-bûn

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2017年論文

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name

Detecting and analyzing research communities in longitudinal scientific networks

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Detecting and analyzing research communities in longitudinal scientific networks

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Detecting and analyzing research communities in longitudinal scientific networks

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P1476

Detecting and analyzing research communities in longitudinal scientific networks

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Christopher McCarty

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Raffaele Vacca

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Therese Kennelly Okraku

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P2860

Community structure in social and biological networks

The structure of scientific collaboration networks

Modularity and community structure in networks

The CTSA as an exemplar framework for developing multidisciplinary translational teams

Defining interdisciplinary research: conclusions from a critical review of the literature

Some assembly required: leveraging Web science to understand and enable team assembly

Evidence of community structure in biomedical research grant collaborations

Social network analysis of biomedical research collaboration networks in a CTSA institution.

The increasing dominance of teams in production of knowledge.

Multi-university research teams: shifting impact, geography, and stratification in science.

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e0182516

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scholarly article

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10.1371/JOURNAL.PONE.0182516

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English

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Valerio Leone Sciabolazza

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2017-08-10T00:00:00Z

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28797047

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5552257

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Detecting and analyzing research communities in longitudinal scientific networks

about

P2860

P2860

Detecting and analyzing research communities in longitudinal scientific networks

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932