A multi-level network analysis of web-citations among the world’s universities

Barnett, George A.; Park, Han Woo; Jiang, Ke; Tang, Chuan Yi; Aguillo, Isidro F.

doi:10.1007/s11192-013-1070-0

Cited by 37 publications

(25 citation statements)

References 57 publications

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“…The importance of considering multiple types of human interactions has been more recently demonstrated in different social networks, from terrorist organizations [14] to online communities; in all these cases, multilayer analyses unveil a rich topological structure [17], outperforming single-layer analyses in terms of network modeling and prediction as well [18,19]. In particular, multilayer community detection in social networks has been shown to be more effective than single-layer approaches [20]; similar results have been reported for community detection on the World Wide Web [21,22] and citation networks [23]. For instance, in the context of electrical power grids, multilayer analyses have provided important insight into the role of synchronization in triggering cascading failures [24,25].…”

Section: Introductionmentioning

confidence: 62%

The Multiplex Dependency Structure of Financial Markets

et al. 2017

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We propose here a multiplex network approach to investigate simultaneously different types of dependency in complex datasets. In particular, we consider multiplex networks made of four layers corresponding, respectively, to linear, nonlinear, tail, and partial correlations among a set of financial time series. We construct the sparse graph on each layer using a standard network filtering procedure, and we then analyse the structural properties of the obtained multiplex networks. The study of the time evolution of the multiplex constructed from financial data uncovers important changes in intrinsically multiplex properties of the network, and such changes are associated with periods of financial stress. We observe that some features are unique to the multiplex structure and would not be visible otherwise by the separate analysis of the single-layer networks corresponding to each dependency measure.

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Section: Introductionmentioning

confidence: 62%

The Multiplex Dependency Structure of Financial Markets

et al. 2017

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“…Meanwhile, collaboration networks are an important medium for examining scholarly communication [22]. Some scholars investigated the networks as well as core groups of international collaboration in either specific fields or selected cooperating partners at the country and institution levels [23][24][25][26][27]. Country-level collaboration studies help in the examination of the roles of every nation, while institution-level collaboration studies are useful for exploring the typology of collaborative links (national and international), the size of the research community, and the scope of the collaboration.…”

Section: Theoretical Framework and Research Questionsmentioning

confidence: 99%

Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013

et al. 2018

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Abstract:Influenza virus vaccine plays an important role in preventing influenza and protecting people's health. The international collaboration in influenza virus vaccine field is related to the sustainability of healthcare. To understand the elaborate characteristics of multiform international collaboration in the influenza virus vaccine field, this paper constructs a multilayered analytical framework (at the country, city and institution levels) of international scientific collaboration to examine the regional distribution, dynamic changes and common themes of collaboration. A total of 1878 international collaboration papers of the influenza virus vaccine field published from 2006 to 2013 were collected from the Web of Science database. Based on this dataset, the paper utilizes bibliometrics and social network analysis approaches to explore international publication trends and collaboration performance in the influenza virus vaccine field. Results show that: (1) the three kinds of collaboration networks (country, city and institution levels) all present dynamic structures, strong core-periphery characteristics, and their degree centrality distributions follows segmented Zifp-Pareto distribution; and (2) although it is known that there exist corresponding relationships among countries, cities and institutions in the geographical position, most of their associated categories, network locations and changing trends are all non-conformal. These findings suggest that multilayered analysis enables a more comprehensive understanding of international scientific collaboration in the influenza virus vaccine field. In general, detailed conclusions can help different levels of governments to draw policy implications for promoting further international collaboration research to enhance the ability on preventing the disease.

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“…Barnett, Park, Jiang, Tang, & Aguillo 2014;Cerchiello & Giudici 2014;Hjørland, Nielsen, & Høyrup 2014;Martínez, Herrera, López-Gijón, & Herrera-Viedma 2014). An important development is search engines that automatically use various types of administrative characteristics such as bibliometric characteristics (e.g., author, title of document, title of journal or book, volume number and pages of specific articles).…”

Section: Innovation In Assessment Of Quality and Impact Of Researchmentioning

confidence: 99%

“…For example, Fry and Donohue (2014) explore and modify an "Author Affiliation Index" to rank authors, international institutions, and scientific journals in various disciplines. Another example is the use of multilevel network analysis of citations to rank the world's research organisations and universities (Barnett et al 2014). …”

Section: Innovation In Assessment Of Quality and Impact Of Researchmentioning

confidence: 99%

Exploring a prototype framework of web-based and peer-reviewed “European Educational Research Quality Indicators” (EERQI)

Mooij

2014

Scientometrics

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Digitization, the Internet, and information or webometric interdisciplinary approaches are affecting the fields of Scientometrics and Library and Information Science (LIS). These new approaches can be used to improve citation-only procedures to estimate the quality and impact of research. A European pilot to explore this potential was called Three intrinsic and two extrinsic latent factors were found to be relevant. Moreover, the more a document was related to a reviewer's own area of research, the higher the score the reviewer gave concerning 1) significance, originality, and consistency, and 2) methodological adequacy. The conclusions are that a prototype EERQI framework has been constructed: intrinsic quality indicators add specific information to extrinsic quality or impact indicators, and vice versa. Also, a problem of "objective" impact scores is that they are based on "subjective" or biased peer-review scores. Peer-review, which is foundational to having a work cited, seems biased and this bias should be controlled or improved by more refined estimates of quality and impact of research. Some suggestions are given and limitations of the pilot are discussed. As the EERQI development approach, instruments, and tools are new, they should be developed further.

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A multi-level network analysis of web-citations among the world’s universities

Cited by 37 publications

References 57 publications

The Multiplex Dependency Structure of Financial Markets

The Multiplex Dependency Structure of Financial Markets

Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013

Exploring a prototype framework of web-based and peer-reviewed “European Educational Research Quality Indicators” (EERQI)

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