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Insights from bibliometric network properties into technology evolution - wind energy example - E. Boelman, T. Telsnig, G. Joanny European Commission, Joint Research Centre Aim and approach of this work Aim Detect/better understand


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Insights from bibliometric network properties into technology evolution

  • wind energy example -
  • E. Boelman, T. Telsnig, G. Joanny

European Commission, Joint Research Centre

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Aim

  • Detect/better understand patterns of wind energy technology

emergence and advancement Approach

  • Analyse evolution of basic bibliometric network properties
  • Put numbers to network topologies in keyword co-occurrence maps
  • Boolean searches, analysis with TIM and Gephi

Aim and approach of this work

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Search strings bibliometric networks (1996-2016)

Electric Power ( > 170 000 articles retrieved)

ti_abs_key: ("electric power" OR "electric energy" OR "power plant" OR "power station")

Wind ( ~ 67 000 articles retrieved)

ti_abs_key: ( "wind power" OR "wind energy" OR "wind turbine" OR "wind energy

converter" OR "wind farm" OR "wind park" ) NOT ti_abs_key: ( interstellar OR eutrophic OR … Wind – Blades ( 9 000 articles retrieved)

ti_abs_key: ("wind power" OR "wind energy" OR "wind turbine" OR "wind energy

converter" OR "wind farm" OR "wind park") AND ti_abs_key: (blades)

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Blade-related author keyword occurrences

Author keyword occurrences – yearly counts Years

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Electric Power

Size of bibliometric networks

1996-2016

66900 article counts Blades, 9200 article counts 173500 article counts Wind

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Bibliometric network densification Blades

author keywords and

  • rganisations

(co)authoring scientific articles,1996-2016

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Bibliometric network: growth, scope

  • rganisations

(co)authoring scientific articles,1996-2016

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Bibliometric network densification Wind

author keywords,1996-2016 Yearly counts Cumulative counts

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Bibliometric network densification Electric power

author keywords,1996-2016 Yearly counts Cumulative counts yr2002 yr2004 yr2002

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Network topology 'wind energy' Author-keyword co-occurrences, 2008

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Network topology 'wind energy' Author-keyword co-occurrences, 2009

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Network topology author keywords edges

2008 2009

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Network topology author keywords – nodes

2008 2009

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Network topology organisations – nodes

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Network topology organisations – edges

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  • Potential relevance of bibliometric-network metrics
  • for mapping technologies

at similar & complementary granularity levels

  • for comparing their developmental stages.

Final remarks

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  • Results and potential implications:
  • network properties and metrics,
  • historic evolution of the technologies analysed,
  • search string design

Further analysis needed

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Thank you

You can find us at

elisa.boelman@ec.europa.eu thomas.telsnig@ec.europa.eu