Big Egos in Big Science

Jacob Jeppesen; Kristina Vaarst Andersen; Giancarlo Lauto; Finn Valentin

Big Egos in Big Science

Jacob Jeppesen, Kristina Vaarst Andersen, Giancarlo Lauto, Finn Valentin

Università degli Studi di Udine

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Abstract

In this paper we investigate the micro-mechanisms governing the structural evolution of a scientific collaboration. Empirical evidence indicates that we have transcended into a new paradigm with a new modus operandi where scientific
discovery are not lead by so called lone ?stars?, or big egos, but instead by a group of people, from a multitude of institutions, having a diverse knowledge set and capable of operating more and more complex instrumentation. Using a dataset consisting of full bibliometric coverage from a Large Scale Research Facility, we utilize a stochastic actor oriented model to estimate both the structural and performance effects of selection, as well as the behavioral of
crossing organizational boundaries. Preliminary results suggest that the selection of collaborators still is skewed, and identify a large assortativity effect, as well as a tendency to interact with both authors with similar citations.

Original language	English
Publication date	2014
Number of pages	30
Publication status	Published - 2014
Event	The DRUID Academy Conference 2014 - Hotel Comwell Rebild Bakker, Aalborg, Denmark Duration: 15 Jan 2014 → 17 Jan 2014 Conference number: 35 http://druid8.sit.aau.dk/druid/registrant/index/login/cid/14

Conference

Conference	The DRUID Academy Conference 2014
Number	35
Location	Hotel Comwell Rebild Bakker
Country/Territory	Denmark
City	Aalborg
Period	15/01/2014 → 17/01/2014
Internet address	http://druid8.sit.aau.dk/druid/registrant/index/login/cid/14

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Jeppesen Andersen Lauto ValentinFinal published version, 463 KBLicence: CC BY-NC-ND

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AU - Jeppesen, Jacob

AU - Vaarst Andersen, Kristina

AU - Lauto, Giancarlo

AU - Valentin, Finn

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N2 - In this paper we investigate the micro-mechanisms governing the structural evolution of a scientific collaboration. Empirical evidence indicates that we have transcended into a new paradigm with a new modus operandi where scientificdiscovery are not lead by so called lone ?stars?, or big egos, but instead by a group of people, from a multitude of institutions, having a diverse knowledge set and capable of operating more and more complex instrumentation. Using a dataset consisting of full bibliometric coverage from a Large Scale Research Facility, we utilize a stochastic actor oriented model to estimate both the structural and performance effects of selection, as well as the behavioral ofcrossing organizational boundaries. Preliminary results suggest that the selection of collaborators still is skewed, and identify a large assortativity effect, as well as a tendency to interact with both authors with similar citations.

AB - In this paper we investigate the micro-mechanisms governing the structural evolution of a scientific collaboration. Empirical evidence indicates that we have transcended into a new paradigm with a new modus operandi where scientificdiscovery are not lead by so called lone ?stars?, or big egos, but instead by a group of people, from a multitude of institutions, having a diverse knowledge set and capable of operating more and more complex instrumentation. Using a dataset consisting of full bibliometric coverage from a Large Scale Research Facility, we utilize a stochastic actor oriented model to estimate both the structural and performance effects of selection, as well as the behavioral ofcrossing organizational boundaries. Preliminary results suggest that the selection of collaborators still is skewed, and identify a large assortativity effect, as well as a tendency to interact with both authors with similar citations.

M3 - Paper

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Y2 - 15 January 2014 through 17 January 2014

ER -