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Citation based approaches have seen good progress for recommending research papers using citations in the paper. Citation proximity analysis which uses the in-text citation proximity to find relatedness between two research papers is better…

Digital Libraries · Computer Science 2020-09-29 Rohit Rawat

Similarity is a comparative-subjective measure that varies with the domain within which it is considered. In several NLP applications such as document classification, pattern recognition, chatbot question-answering, sentiment analysis,…

Machine Learning · Computer Science 2021-11-11 Manuela Nayantara Jeyaraj , Dharshana Kasthurirathna

This paper explores, by using suitable quantitative techniques, to what extent the intellectual proximity among scholarly journals is also a proximity in terms of social communities gathered around the journals. Three fields are considered:…

Social and Information Networks · Computer Science 2019-10-18 Alberto Baccini , Lucio Barabesi , Mahdi Khelfaoui , Yves Gingras

A large number of published studies have examined the properties of either networks of citation among scientific papers or networks of coauthorship among scientists. Here, using an extensive data set covering more than a century of physics…

Digital Libraries · Computer Science 2013-08-09 Travis Martin , Brian Ball , Brian Karrer , M. E. J. Newman

Cycles are ubiquitous in various networks such as social, biological, and technological systems, where they play a significant functional and dynamical role. This paper proposes a node similarity measure based on minimal simple cycles,…

Physics and Society · Physics 2026-01-30 Bo Yang

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a paper or simply to keep up with current research. In this paper, we…

Information Retrieval · Computer Science 2019-01-01 Haofeng Jia , Erik Saule

Multilayer network analysis is a useful approach for studying the structural properties of entities with diverse, multitudinous relations. Classifying the importance of nodes and node-layer tuples is an important aspect of the study of…

Physics and Society · Physics 2021-12-28 Lucas Böttcher , Mason A. Porter

Many studies have sought to identify interdisciplinary research as a function of the diversity of disciplines identified in an article's references or citations. However, given the constant evolution of the scientific landscape,…

Digital Libraries · Computer Science 2022-04-11 Eoghan Cunningham , Derek Greene

One important reason for the use of field categorization in bibliometrics is the necessity to make citation impact of papers published in different scientific fields comparable with each other. Raw citations are normalized by using…

Digital Libraries · Computer Science 2018-04-18 Robin Haunschild , Hermann Schier , Werner Marx , Lutz Bornmann

A number of journal classification systems have been developed in bibliometrics since the launch of the Citation Indices by the Institute of Scientific Information (ISI) in the 1960s. These systems are used to normalize citation counts with…

Digital Libraries · Computer Science 2016-07-22 Loet Leydesdorff , Lutz Bornmann , Ping Zhou

The widespread relevance of complex networks is a valuable tool in the analysis of a broad range of systems. There is a demand for tools which enable the extraction of meaningful information and allow the comparison between different…

Physics and Society · Physics 2011-03-30 Kathryn Cooper , Mauricio Barahona

There are two principal data sources for collaborative filtering recommenders in scholarly digital libraries: usage data obtained from harvesting a large, distributed collection of Open URL web logs and citation data obtained from the…

Digital Libraries · Computer Science 2013-04-01 André Vellino

For several decades, a leading paradigm of how to quantitatively assess scientific research has been the analysis of the aggregated citation information in a set of scientific publications. Although the representation of this information as…

Physics and Society · Physics 2015-06-12 David F. Klosik , Stefan Bornholdt

To cope with the ever-growing information overload, an increasing number of digital libraries employ content-based recommender systems. These systems traditionally recommend related documents with the help of similarity measures. However,…

Information Retrieval · Computer Science 2020-08-04 Malte Ostendorff

The study of the topological structure of complex networks has fascinated researchers for several decades, and today we have a fairly good understanding of the types and reoccurring characteristics of many different complex networks.…

Social and Information Networks · Computer Science 2014-06-23 Matthieu Roy , Stefan Schmid , Gilles Trédan

The analysis of bibliometric networks, such as co-authorship, bibliographic coupling, and co-citation networks, has received a considerable amount of attention. Much less attention has been paid to the construction of these networks. We…

Digital Libraries · Computer Science 2016-10-25 Antonio Perianes-Rodriguez , Ludo Waltman , Nees Jan van Eck

The article presents three advanced citation-based methods used to detect potential breakthrough papers among very highly cited papers. We approach the detection of such papers from three different perspectives in order to provide different…

Digital Libraries · Computer Science 2015-12-07 Jesper W. Schneider , Rodrigo Costas

Over the past decade, national research evaluation exercises, traditionally conducted using the peer review method, have begun opening to bibliometric indicators. The citations received by a publication are assumed as proxy for its quality,…

Digital Libraries · Computer Science 2018-11-01 Giovanni Abramo , Tindaro Cicero , Ciriaco Andrea D'Angelo

In order to explore the suitability of a fine-grained classification of journal articles by exploiting multiple sources of information, articles are organized in a two-layer multiplex. The first layer conveys similarities based on the…

Digital Libraries · Computer Science 2024-01-02 Alberto Baccini , Federica Baccini , Lucio Barabesi , Martina Cioni , Eugenio Petrovich , Daria Pignalosa

We apply bio-inspired methods for the analysis of different dynamic bibliometric networks (linking papers by citation, authors, and keywords, respectively). Biological species are clusters of individuals defined by widely different criteria…

Digital Libraries · Computer Science 2011-01-20 Sandor Soos , George Kampis