Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification

2020 ◽  
pp. 016555152096277
Author(s):  
Rajmund Kleminski ◽  
Przemysiaw Kazienko ◽  
Tomasz Kajdanowicz
Keyword(s):  
Citation Network ◽  
Scientific Paper ◽  
Added Value ◽  
Bibliographic Coupling ◽  
Science Literature ◽  
Citation Networks ◽  
Research Topics ◽  
Topic Identification ◽  
Direct Citation ◽  
The Impact

In our study, we examine the impact of citation network structures on the ability to discern valuable research topics in Computer Science literature. We use the bibliographic information available in the DBLP database to extract candidate phrases from scientific paper abstracts. Following that, we construct citation networks based on direct citation, co-citation and bibliographic coupling relationships between the papers. The candidate research topics, in the form of keyphrases and n-grammes, are subsequently ranked and filtered by a graph-text ranking algorithm. This selection of the highest ranked potential topics is further evaluated by domain experts and through the Wikipedia knowledge base. The results obtained from these citation networks are complementary, returning valid but non-overlapping output phrases between some pairs of networks. In particular, bibliographic coupling appears to capture more unique information than either direct citation or co-citation. These findings point towards the possible added value in combining bibliographic coupling analysis with other structures. At the same time, combining direct citation and co-citation is put into question. We expect our findings to be utilised in method design for research topic identification.

scholarly journals Visualization and analysis of SCImago Journal & Country Rank structure via journal clustering

2016 ◽  
Vol 68 (5) ◽  
pp. 607-627 ◽  
Author(s):  
Antonio J. Gómez-Núñez ◽  
Benjamin Vargas-Quesada ◽  
Zaida Chinchilla-Rodríguez ◽  
Vladimir Batagelj ◽  
Félix Moya-Anegón
Keyword(s):  
Clustering Algorithm ◽  
Citation Network ◽  
Detection Algorithm ◽  
Bibliographic Coupling ◽  
Content Type ◽  
Alternative Approach ◽  
Level Of Aggregation ◽  
Direct Citation ◽  
Community Detection Algorithm ◽  
Visualization Techniques

Purpose The purpose of this paper is to visualize the structure of SCImago Journal & Country Rank (SJR) coverage of the extensive citation network of Scopus journals, examining this bibliometric portal through an alternative approach, applying clustering and visualization techniques to a combination of citation-based links. Design/methodology/approach Three SJR journal-journal networks containing direct citation, co-citation and bibliographic coupling links are built. The three networks were then combined into a new one by summing up their values, which were later normalized through geo-normalization measure. Finally, the VOS clustering algorithm was executed and the journal clusters obtained were labeled using original SJR category tags and significant words from journal titles. Findings The resultant scientogram displays the SJR structure through a set of communities equivalent to SJR categories that represent the subject contents of the journals they cover. A higher level of aggregation by areas provides a broad view of the SJR structure, facilitating its analysis and visualization at the same time. Originality/value This is the first study using Persson’s combination of most popular citation-based links (direct citation, co-citation and bibliographic coupling) in order to develop a scientogram based on Scopus journals from SJR. The integration of the three measures along with performance of the VOS community detection algorithm gave a balanced set of clusters. The resulting scientogram is useful for assessing and validating previous classifications as well as for information retrieval and domain analysis.

scholarly journals Bibliometric analysis and visualization of Islamic economics and finance articles indexed in Scopus by Indonesian authors

2020 ◽  
Vol 7 (2) ◽  
pp. 169-176
Author(s):  
Luqman Hakim Handoko
Keyword(s):  
Bibliometric Analysis ◽  
Statistical Methods ◽  
Talent Development ◽  
Citation Network ◽  
Bibliographic Coupling ◽  
Future Research ◽  
Research Topics ◽  
Islamic Microfinance ◽  
Scopus Database

Purpose: This study aimed to analyze the bibliometric characteristics and trends of articles on Islamic economics and finance (IEF) indexed in Scopus by Indonesian authors.Methods: Data were retrieved from the Scopus database. Articles were searched in June 2020 with the limitation of Indonesian authors or affiliation. The keywords used in this study included IEF, and variations thereof, with the search filtered by Indonesian affiliation. Simple statistical methods were used, and a bibliometric analysis was conducted using VOSviewer software. This study visualized patterns of the co-occurrence of keywords, citations of documents, co-citation relationships, and bibliographic coupling.Results: The number of studies in the field of IEF increased in recent years. Articles on IEF have been published in more than 150 journals, among which the most popular was <i>Talent Development and Excellence</i>. Collaboration among authors reached 33 countries, most prominently Malaysia. Certain keywords, such as halal tourism, zakat, and Islamic microfinance, have become the most popular in the last few years. The bibliometric analysis showed that 24 documents had the largest citation relationship, 52 journals had the largest co-citation network, and 172 documents had the largest bibliographic coupling relationship.Conclusion: Research in the field of IEF by Indonesian authors has increased rapidly, with extensive collaboration. <i>Halal</i> tourism is among the most popular research topics in the last few years and is a prospective topic for future research. Moreover, the results showed that sources on IEF were widely used as references.

scholarly journals Article-level classification of scientific publications: A comparison of deep learning, direct citation and bibliographic coupling

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251493
Author(s):  
Maxime Rivest ◽  
Etienne Vignola-Gagné ◽  
Éric Archambault
Keyword(s):  
Deep Learning ◽  
Research Evaluation ◽  
Innovation Policy ◽  
Citation Network ◽  
Scientific Activity ◽  
Label Propagation ◽  
Bibliographic Coupling ◽  
Learning Approaches ◽  
Scientific Publications ◽  
Direct Citation

Classification schemes for scientific activity and publications underpin a large swath of research evaluation practices at the organizational, governmental, and national levels. Several research classifications are currently in use, and they require continuous work as new classification techniques becomes available and as new research topics emerge. Convolutional neural networks, a subset of “deep learning” approaches, have recently offered novel and highly performant methods for classifying voluminous corpora of text. This article benchmarks a deep learning classification technique on more than 40 million scientific articles and on tens of thousands of scholarly journals. The comparison is performed against bibliographic coupling-, direct citation-, and manual-based classifications—the established and most widely used approaches in the field of bibliometrics, and by extension, in many science and innovation policy activities such as grant competition management. The results reveal that the performance of this first iteration of a deep learning approach is equivalent to the graph-based bibliometric approaches. All methods presented are also on par with manual classification. Somewhat surprisingly, no machine learning approaches were found to clearly outperform the simple label propagation approach that is direct citation. In conclusion, deep learning is promising because it performed just as well as the other approaches but has more flexibility to be further improved. For example, a deep neural network incorporating information from the citation network is likely to hold the key to an even better classification algorithm.

scholarly journals Impact of COVID-19 at the Ocular Level: A Citation Network Study

2021 ◽  
Vol 10 (7) ◽  
pp. 1340
Author(s):  
Miguel Ángel Sánchez-Tena ◽  
Clara Martinez-Perez ◽  
Cesar Villa-Collar ◽  
Cristina Alvarez-Peregrina
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Protective Equipment ◽  
Citation Networks ◽  
Research Areas ◽  
Ocular Manifestations ◽  
Number Of Publications ◽  
The Impact ◽  
The Relationship ◽  
The Web

Background: The main objective of this study was to use citation networks to analyze the relationship between different publications on the impact of COVID-19 at an ocular level and their authors. Furthermore, the different research areas will be identified, and the most cited publication will be determined. Materials and Methods: The publications were searched within the Web of Science database, using “ocular”, “SARS-CoV-2”, “ophthalmology”, “eyesight”, and “COVID-19” as keywords for the period between January 2020 and January 2021. The Citation Network Explorer and the CiteSpace software were used to analyze the different publications. Results: A total of 389 publications with 890 citations generated on the web were found. It must be highlighted that July was the month with the largest number of publications. The most cited ones were “Characteristics of Ocular Findings of Patients with Coronavirus Disease 2019 (COVID-19) in Hubei Province, China” by Wu et al., which was published in May 2020. Three groups covering the different research areas in this field were found using the clustering functions: ocular manifestations, teleophthalmology, and personal protective equipment. Conclusions: The citation network has shown a comprehensive and objective analysis of the main studies on the impact of COVID-19 in ocular disease.

scholarly journals SUPPORT FOR MANAGING PARTLY CONFIGURABLE MODULAR SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2791-2800
Author(s):  
Jarkko Pakkanen ◽  
Teuvo Heikkinen ◽  
Nillo Adlin ◽  
Timo Lehtonen ◽  
Janne Mämmelä ◽  
...  
Keyword(s):  
Portfolio Management ◽  
Product Variety ◽  
Added Value ◽  
Modular System ◽  
Product Management ◽  
Design Decision ◽  
Product Portfolio ◽  
Modular Systems ◽  
Engineer To Order ◽  
The Impact

AbstractThe paper studies what kind of support could be applied to the management of partly configurable modular systems. The main tasks of product management, product portfolio management and product variety management are defined. In addition, a partly configurable product structure and modular system are defined. Because the limited support in the literature for managing partly configurable modular systems, the article reviews previous product development cases in which authors have been involved on lessons learnt basis, i.e., if the methods and tools used in the cases could provide support for the research objective. As a result, the existing definition of the modular system should be extended by the concepts of non-module and design decision sequence description when dealing with partly configurable modular systems. This is because engineer-to-order should be made possible in cases where it brings clear added value to the customer compared to completely pre-defined solutions that may limit the customer's interest in the offering. Tools to assess the impact of changes to the product offering are required. These should be taken into account in frameworks that are used in method and tool development.

scholarly journals Building capacity for implementation—the KT Challenge

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Agnes T. Black ◽  
Marla Steinberg ◽  
Amanda E. Chisholm ◽  
Kristi Coldwell ◽  
Alison M. Hoens ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Care ◽  
Health Care Professionals ◽  
Qualitative Data ◽  
Practice Change ◽  
Evidence Based ◽  
Science Literature ◽  
Health Care Settings ◽  
Improvement Programs ◽  
The Impact

Abstract Background The KT Challenge program supports health care professionals to effectively implement evidence-based practices. Unlike other knowledge translation (KT) programs, this program is grounded in capacity building, focuses on health care professionals (HCPs), and uses a multi-component intervention. This study presents the evaluation of the KT Challenge program to assess the impact on uptake, KT capacity, and practice change. Methods The evaluation used a mixed-methods retrospective pre-post design involving surveys and review of documents such as teams’ final reports. Online surveys collecting both quantitative and qualitative data were deployed at four time points (after both workshops, 6 months into implementation, and at the end of the 2-year funded projects) to measure KT capacity (knowledge, skills, and confidence) and impact on practice change. Qualitative data was analyzed using a general inductive approach and quantitative data was analyzed using non-parametric statistics. Results Participants reported statistically significant increases in knowledge and confidence across both workshops, at the 6-month mark of their projects, and at the end of their projects. In addition, at the 6-month check-in, practitioners reported statistically significant improvements in their ability to implement practice changes. In the first cohort of the program, of the teams who were able to complete their projects, half were able to show demonstrable practice changes. Conclusions The KT Challenge was successful in improving the capacity of HCPs to implement evidence-based practice changes and has begun to show demonstrable improvements in a number of practice areas. The program is relevant to a variety of HCPs working in diverse practice settings and is relatively inexpensive to implement. Like all practice improvement programs in health care settings, a number of challenges emerged stemming from the high turnover of staff and the limited capacity of some practitioners to take on anything beyond direct patient care. Efforts to address these challenges have been added to subsequent cohorts of the program and ongoing evaluation will examine if they are successful. The KT Challenge program has continued to garner great interest among practitioners, even in the midst of dealing with the COVID-19 pandemic, and shows promise for organizations looking for better ways to mobilize knowledge to improve patient care and empower staff. This study contributes to the implementation science literature by providing a description and evaluation of a new model for embedding KT practice skills in health care settings.

scholarly journals Understanding Social Impact and Value Creation in Hybrid Organizations: The Case of Italian Civil Service

2021 ◽  
Vol 13 (7) ◽  
pp. 4058
Author(s):  
Paolo Esposito ◽  
Valerio Brescia ◽  
Chiara Fantauzzi ◽  
Rocco Frondizi
Keyword(s):  
Value Chain ◽  
Social Impact ◽  
Civil Service ◽  
Added Value ◽  
Hybrid Organizations ◽  
Case Study Analysis ◽  
Public Resources ◽  
Five Elements ◽  
Definition Of ◽  
The Impact

The aim of this paper is twofold: first, it aims to analyze what kind of value is generated by hybrid organizations and how; second, it aims to understand the role of social impact assessment (SIA) in the measurement of added value, especially in terms of social and economic change generated by hybrids. Hybrid organizations are a debated topic in literature and have different strengths in responding to needs, mainly in the public interest. Nevertheless, there are not many studies that identify the impact and change generated by these organizations. After highlighting the gap in the literature, the study proposes an innovative approach that combines SIA, interview, interventionist approach and documental analysis. The breakdown of SIA through the five elements of the value chain (inputs, activities, outputs, outcomes, and impact) guarantees a linear definition of the value generated through change with procedural objectivity capable of grasping hybrid organizations’ complexity. The value generated or absorbed is the change generated by the impact measured based on the incidence of public resources allocated. Through the SIA and counterfactual approach, the civil service case study analysis highlights how the value generated by public resources can be measured or more clearly displayed in the measurement process itself.

scholarly journals Analysis of the Impact on the Mechanical Properties of Modification of Oligohydroxyethers in Organic Solvent Solution with Rubbers

Polymers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 519
Author(s):  
Vitalii Bezgin ◽  
Agata Dudek ◽  
Adam Gnatowski
Keyword(s):  
Mechanical Properties ◽  
Scientific Paper ◽  
Styrene Butadiene Rubber ◽  
Butadiene Rubber ◽  
Molecular Weights ◽  
Wide Range ◽  
Strength Tests ◽  
Materials Used ◽  
Styrene Butadiene ◽  
The Impact

This paper proposes and presents the chemical modification of linear hydroxyethers (LHE) with different molecular weights (380, 640, and 1830 g/mol) with the addition of three types of rubbers (polysulfide rubber (PSR), polychloroprene rubber (PCR), and styrene-butadiene rubber (SBR)). The main purpose of choosing this type of modification and the materials used was the possibility to use it in industrial settings. The modification process was conducted for a very wide range of modifier additions (rubber) per 100 g LHE. The materials obtained in the study were subjected to strength tests in order to determine the effect of the modification on functional properties. Mechanical properties of the modified materials were improved after the application of the modifier (rubber) to polyhydroxyether (up to certain modifier content). The most favorable changes in the tested materials were registered in the modification of LHE-1830 with PSR. In the case of LHE-380 and LHE-640 modified in cyclohexanol (CH) and chloroform (CF) solutions, an increase in the values of the tested properties was also obtained, but to a lesser extent than for LHE-1830. The largest changes were registered for LHE-1830 with PSR in CH solution: from 12.1 to 15.3 MPa for compressive strength tests, from 0.8 to 1.5 MPa for tensile testing, from 0.8 to 14.7 MPa for shear strength, and from 1% to 6.5% for the maximum elongation. The analysis of the available literature showed that the modification proposed by the authors has not yet been presented in any previous scientific paper.

scholarly journals Leveraging Existing Data from CMS-Linked Cohort Studies for the Advancement and Translation of Frailty Research

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 777-777
Author(s):  
Qian-Li Xue ◽  
Kristine Ensrud ◽  
Shari Lin
Keyword(s):  
Cohort Studies ◽  
Healthcare Utilization ◽  
Risk Adjustment ◽  
Healthcare Services ◽  
Self Report ◽  
Added Value ◽  
Care Organization ◽  
Frailty Phenotype ◽  
Frailty Assessment ◽  
The Impact

Abstract As population aging is accelerating rapidly, there is growing concern on how to best provide patient-centered care for the most vulnerable. Establishing a predictable and affordable cost structure for healthcare services is key to improving quality, accessibility, and affordability. One such effort is the “frailty” adjustment model implemented by the Centers for Medicare & Medicaid Services (CMS) that adjusts payments to a Medicare managed care organization based on functional impairment of its beneficiaries. Earlier studies demonstrated added value of this frailty adjuster for prediction of Medicare expenditures independent of the diagnosis-based risk adjustment. However, we hypothesize that further improvement is possible by implementing more rigorous frailty assessment rather than relying on self-report of ADL difficulties as used for the frailty adjuster. This is supported by the consensus and clinical observations that neither multimorbidity nor disability alone is sufficient for frailty identification. This symposium consists of four talks that leverage data from three CMS-linked cohort studies to investigate the utility of assessment of the frailty phenotype for predicting healthcare utilization and costs. Talk 1 and 2 use data from the NHATS cohort to assess healthcare utilization by frailty status in the general population and the homebound subset. Talk 3 and 4 use data from the MrOS study and the SOF study to investigate the impact of frailty phenotype on healthcare costs. Taken together, their findings highlight the potential of incorporating phenotypic frailty assessment into CMS risk adjustment to improve the planning and management of care for frail older adults.

scholarly journals Evaluating Cultural Impact in Discursive Space through Digital Footprints

2021 ◽  
Vol 13 (7) ◽  
pp. 4043 ◽  
Author(s):  
Jesús López Baeza ◽  
Jens Bley ◽  
Kay Hartkopf ◽  
Martin Niggemann ◽  
James Arias ◽  
...  
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Social Activity ◽  
Test Site ◽  
Cultural Discourse ◽  
Discursive Space ◽  
Topic Identification ◽  
Small Test ◽  
The Impact ◽  
The City

The research presented in this paper describes an evaluation of the impact of spatial interventions in public spaces, measured by social media data. This contribution aims at observing the way a spatial intervention in an urban location can affect what people talk about on social media. The test site for our research is Domplatz in the center of Hamburg, Germany. In recent years, several actions have taken place there, intending to attract social activity and spotlight the square as a landmark of cultural discourse in the city of Hamburg. To evaluate the impact of this strategy, textual data from the social networks Twitter and Instagram (i.e., tweets and image captions) are collected and analyzed using Natural Language Processing intelligence. These analyses identify and track the cultural topic or “people talking about culture” in the city of Hamburg. We observe the evolution of the cultural topic, and its potential correspondence in levels of activity, with certain intervention actions carried out in Domplatz. Two analytic methods of topic clustering and tracking are tested. The results show a successful topic identification and tracking with both methods, the second one being more accurate. This means that it is possible to isolate and observe the evolution of the city’s cultural discourse using NLP. However, it is shown that the effects of spatial interventions in our small test square have a limited local scale, rather than a city-wide relevance.

Sign in / Sign up

Export Citation Format

Share Document