Dynamic Scientific Co-Authorship Networks

Mali, Franc; Kronegger, Luka; Doreian, Patrick; Ferligoj, Anuška

doi:10.1007/978-3-642-23068-4_6

Cited by 63 publications

(54 citation statements)

References 110 publications

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“…20 Coauthor networks within an institution can represent relationships and connections with people, as well as the potential for flow of information, reputation, and plans for future collaboration. 21 Social capital theory holds that relationship ties within an individual's social network provide access to assets, advice, opportunities and information. 22 These connections may be particularly important for junior faculty as they build their scientific careers.…”

Section: Introductionmentioning

confidence: 99%

Faculty Promotion and Attrition: The Importance of Coauthor Network Reach at an Academic Medical Center

et al. 2015

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BACKGROUND: Business literature has demonstrated the importance of networking and connections in career advancement. This is a little-studied area in academic medicine. OBJECTIVE: To examine predictors of intra-organizational connections, as measured by network reach (the number of first-and second-degree coauthors), and their association with probability of promotion and attrition. DESIGN: Prospective cohort study between 2008 and 2012. SETTING: Academic medical center. PARTICIPANTS: A total of 5787 Harvard Medical School (HMS) faculty with a rank of assistant professor or fulltime instructor as of January 1, 2008. MAIN MEASURES: Using negative binomial models, multivariable-adjusted predictors of continuous network reach were assessed according to rank. Poisson regression was used to compute relative risk (RR) and 95 % confidence intervals (CI) for the association between network reach (in four categories) and two outcomes: promotion or attrition. Models were adjusted for demographic, professional and productivity metrics. KEY RESULTS: Network reach was positively associated with number of first-, last-and middle-author publications and h-index. Among assistant professors, men and whites had greater network reach than women and underrepresented minorities (p<0.001). Compared to those in the lowest category of network reach in 2008, instructors in the highest category were three times as likely to have been promoted to assistant professor by 2012 (RR: 3.16, 95 % CI: 2.60, 3.86; p-trend <0.001) after adjustment for covariates. Network reach was positively associated with promotion from assistant to associate professor (RR: 1.82, 95 % CI: 1.32, 2.50; p-trend <0.001). Those in the highest category of network reach in 2008 were 17 % less likely to have left HMS by 2012 (RR: 0.83, 95 % CI 0.70, 0.98) compared to those in the lowest category.CONCLUSIONS: These results demonstrate that coauthor network metrics can provide useful information for understanding faculty advancement and retention in academic medicine. They can and should be investigated at other institutions.

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Section: Introductionmentioning

confidence: 99%

Faculty Promotion and Attrition: The Importance of Coauthor Network Reach at an Academic Medical Center

et al. 2015

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“…As a co-author network can be regarded as a special type of social network, Social Network Analysis (SNA) methods are applicable. For example, SNA oriented methods such as graph partitioning [21], blockmodeling [22], and modularity based optimization methods [23] have been applied to analyze the co-author network in the previous studies [12,24]. With regard to computational efficiency and ease of visualization, we utilized the modularity base method to identify the research communities.…”

Section: Methodology and Softwarementioning

confidence: 99%

“…Different from traditional interpretive reviews, the bibliometric method and SNA are data-driven analyses that expose the hidden structures of a domain by data mining the literature, examples of metrics derived from these techniques include the H-index [9], co-word network [10], co-cited references or co-cited authors [11], and the social networks of co-authors [12]. Research using these methods have been conducted in many earth science related disciplines, including discipline level analyses of Geographic Information System (GIS) development [13], transport geography [14], and topical level analysis of Digital Elevation Models (DEMs) [15] and geo-ontology [16].…”

Section: Introductionmentioning

confidence: 99%

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

Guan

et al. 2017

Remote Sensing

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Abstract:In this paper, we conducted a scientometric analysis based on the Night-Time Light (NTL) remote sensing related literature datasets retrieved from Science Citation Index Expanded and Social Science Citation Index in Web of Science core collection database. Using the methods of bibliometric and Social Network Analysis (SNA), we drew several conclusions: (1) NTL related studies have become a research hotspot, especially after 2011 when the second generation of NTL satellites, the Suomi National Polar-orbiting Partnership (S-NPP) Satellite with the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor was on board. In the same period, the open-access policy of the long historical dataset of the first generation satellite Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) started. (2) Most related studies are conducted by authors from USA and China, and the USA takes the lead in the field. We identified the biggest research communities constructed by co-authorships and the related important authors and topics by SNA. (3) By the visualization and analysis of the topic evolution using the co-word and co-cited reference networks, we can clearly see that: the research topics change from hardware oriented studies to more real-world applications; and from the first generation of the satellite DMSP/OLS to the second generation of satellite S-NPP. Although the Day Night Band (DNB) of the S-NPP exhibits higher spatial and radiometric resolution and better calibration conditions than the first generation DMSP/OLS, the longer historical datasets in DMSP/OLS are still important in long-term and large-scale human activity analysis. (4) In line with the intuitive knowledge, the NTL remote sensing related studies display stronger connections (such as interpretive frame, context, and academic purpose) to the social sciences than the general remote sensing discipline. The citation trajectories are visualized based on the dual-maps, thus the research preferences for combining the environmental, ecological, economic, and political science disciplines are clearly exhibited. Overall, the picture of the NTL remote sensing research is presented from the scientist-level, topic-level, and discipline-level interactions. Based on these analyses, we also discuss the possible trends in the future work, such as combining NTL studies with social science research and social media data.

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“…Börner, Sanyal and Vespignani (2007) review network science, an interdisciplinary field "concerned with the study of networks, be they biological, technological, or scholarly in character" (p. 537). Mali et al (2012) classified the levels of analysis of scientific collaboration and analyzed the dynamic co-authorship networks with a view to model them. Watts (2003) and Moody (2004) studied the structure of social networks and social science collaboration networks while Hou, Kretschmer and Liu (2008) focused more specifically on the collaboration between scientometricians at macro level and mapped the co-authorship network of scientometricians using social network analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Diffusion of nanotechnology knowledge in Turkey and its network structure

Darvish

Tonta

2016

Scientometrics

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This paper aims to assess the diffusion and adoption of nanotechnology knowledge within the Turkish scientific community using social network analysis (SNA) and bibliometrics. We retrieved a total of 10,062 records of nanotechnology papers authored by Turkish researchers between 2000 and 2011 from Web of Science (WoS) and divided the data set into two 6-year periods. We analyzed the most prolific and collaborative authors and universities on individual, institutional and international levels based on their network properties (e.g., centrality) as well as the nanotechnology research topics studied most often by the Turkish researchers. We used co-word analysis and mapping to identify the major nanotechnology research fields in Turkey on the basis of the co-occurrence of words in the titles of papers. We found that nanotechnology research and development (R&D) in Turkey is on the rise and its diffusion and adoption have increased tremendously thanks to the Turkish government's decision a decade ago identifying nanotechnology as a strategic field and providing constant support since then. Turkish researchers tend to collaborate within their own groups or universities and the overall connectedness of the network is thus low. Their publication and collaboration patterns conform to Lotka's law. They work mainly on nanotechnology applications in Materials Sciences, Chemistry and Physics, among others. This is commensurate, more or less, with the global trends in nanotechnology research and development. Conference TopicCountry-level studies, Mapping and visualization, Social Network Analysis Introduction Nanotechnology is a relatively new field studying materials at atomic levels within the 1-to 100-nanometer (nm) range (one nm is equal to one billionth of a meter, or, 10 -9 ) (Nanotechnology, 2015). It involves physics, chemistry, medicine, and biotechnology,

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Dynamic Scientific Co-Authorship Networks

Cited by 63 publications

References 110 publications

Faculty Promotion and Attrition: The Importance of Coauthor Network Reach at an Academic Medical Center

Faculty Promotion and Attrition: The Importance of Coauthor Network Reach at an Academic Medical Center

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

Diffusion of nanotechnology knowledge in Turkey and its network structure

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