Category Archives: Network analysis

A Descriptive 3D City Information Model Built From Infrastructure BIM: Capacity Building as a Strategy for Implementation (FULL-TEXT)

Network analysis, Research Examples

This study developed a descriptive 3D city information model (CIM) using only infrastructural building modeling tools to create maps, and analyzed the model according to needs identified in interviews with public-sector actors and a bibliometric analysis. The interviews assessed the challenges of implementing CIM in the Brazilian city of Curitiba, while the literature study determined that current academic production reflects the current reality, calling attention to relevant issues. The experimental software solution successfully created 3D informational modeling of cities for passive use as well as maps to support decision making, although it did not offer advanced parametric tools for urban analysis. Still, this model provides a flexible approach to overcoming the challenges reported by interviewees, which included financial limitations and organizational culture.

DOI 10.4018/IJEPR.20211001.oa9 For FULL-TEXT https://www.igi-global.com/article/a-descriptive-3d-city-information-model-built-from-infrastructure-bim/278827

Author(s): Augusto Pimentel Pereira, Marcio Buzzo, Ingrid Zimermann, Frederico Huckembeck Neto, Hellisson Malgarezi
Organization(s): Pontifical Catholic University of Paraná, M4Mais Architecture and Urban Planning
Source: International Journal of E-Planning Research (IJEPR)
Year: 2021

An Analysis of Collaboration Networks in Bioenergy: Using the ‘Bioen Program’ to Evaluate Sugarcane Ethanol Biomass (FULL-TEXT)

Network analysis, Research Examples

This paper analyzes the network of scientific collaboration in sugarcane biomass. The impact of the FAPESP research program on bioenergy (BIOEN) is also analyzed, with a focus on the division of biomass and its
subareas. Using detailed information from scientific articles in the subareas of Enzymatic hydrolysis, molecular markers, delignification, genotypes, enzymatic conversion, gene expression, nitrogen and photosynthesis, an evaluation of the international insertion of research and collaboration networks of Brazilian researchers is carried out. The methodologyconsists of the formation of clusters of publications indexed on the ISI Web of Science database. The selection of publications is guided by search queries based on keywords related to the subareas of biomass division. The software programs VantagePoint and Pajek are used to support the analysis of the information. The principle objective of the study is to identify the global incorporation of efforts to generate knowledge in sugarcane biomass carried out by BIOEN. Through an analysis of the indicators, it was possible to identify a number of factors related to scientific collaboration in the area of biomass, such as geographic distance, area with the greatest contribution in a determined field of study, and the dynamics of scientific collaboration between countries. An analysis of the biomass division of BIOEN, from a global perspective, showed little cooperation between Latin American countries. The results illustrate that Brazil generates the greatest amount of scientific knowledge regarding sugarcane biomass. However, when the subareas are analyzed separately, scientific publications from the US and China are also dominant

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Author(s): Carolina da Silveira Bueno, José Maria Ferreira Jardim da Silveira, Roney Fraga Souza, Jaim José da Silva Júnior
Organization(s): UNICAMP, UFMT, UNB
Source: RASI (Revista de Administracao, Sociedade e Inovacao)
Year: 2021

Research networks generated by organizational structures, coauthorships and citations: A Case Study of German Centre for Integrative Biodiversity Research (iDiv) (FULL-TEXT)

Network analysis, Research Examples, Research Type

Exploring whether different patterns emerge across networks generated by organizational structures, coauthorships and citations for characterizing and evaluating cooperative relationships is particularly important for transferring the research results into practice. This research-in-progress paper focuses on using the structure of scientific collaborations and mapping knowledge transfer to gain insight into the influence of collaborative research centres linked to the German Research Foundation (DFG) funding. Within the German Centre for Integrative Biodiversity Research (iDiv), the DFG sponsors research conducted across all participating universities and institutes by more than hundred research groups who bring their expertise to the manifold research fields of biodiversity. Using iDiv’s research from 2013-2020, we build co-authorship networks and identify the most cohesive communities in terms of collaboration and compare them with groups presented on its website. Corresponding cited and citing works are analysed by distributions to investigate disciplinary collaboration. Our findings show that the number of publications and the intensity of research collaboration have maintained a steady increase. Despite the highly cohesive cooperation structure addressed by iDiv, the internal scientific collaboration has not gained strong momentum compared with its growing trends in international collaborations. The tendency towards covering cross-disciplinary research foci is not evident.

Link for FULL-TEXT https://arxiv.org/abs/2103.11911

Author(s): Zhao Qu
Organization(s):German Centre for Higher Education Research and Science Studies (DZHW)
Source: arXiv:2103.11911v1 [cs.DL]
Year: 2021

Profiling and predicting the problem-solving patterns in China’s research systems: A methodology of intelligent bibliometrics and empirical insights (FULL-TEXT)

Network analysis, Research Examples, Research profiling, Research Type, ST&I indicators, Strategic planning

Uncovering the driving forces, strategic landscapes, and evolutionary mechanisms of China’s research systems is attracting rising interest around the globe. One such interest is to understand the problem-solving patterns in China’s research systems now and in the future. Targeting a set of high-quality research articles published by Chinese researchers between 2009 and 2018, and indexed in the Essential Science Indicators database, we developed an intelligent bibliometrics-based methodology for identifying the problem-solving patterns from scientific documents. Specifically, science overlay maps incorporating link prediction were used to profile China’s disciplinary interactions and predict potential cross-disciplinary innovation at a macro level. We proposed a function incorporating word embedding techniques to represent subjects, actions, and objects (SAO) retrieved from combined titles and abstracts into vectors and constructed a tri-layer SAO network to visualize SAOs and their semantic relationships. Then, at a micro level, we developed network analytics for identifying problems and solutions from the SAO network, and recommending potential solutions for existing problems. Empirical insights derived from this study provide clues to understand China’s research strengths and the science policies beneath them, along with the key research problems and solutions Chinese researchers are focusing on now and might pursue in the future.

FULL-TEXT available at https://www.mitpressjournals.org/doi/pdf/10.1162/qss_a_00100

Author(s): Yi Zhang, Mengjia Wu, Zhengyin Hu, Robert Ward, Xue Zhang, Alan Porter
Organization(s): University of Technology Sydney, Chengdu Library and Information Centre (CAS), Georgia Institute of Technology
Source: Quantitative Science Studies
Year: 2020

Probing Expert Opinions on the Future of Kidney Replacement Therapies

Literature Based Discovery, Network analysis, Research Examples, Research Type, ST&I indicators

Patients with kidney failure can only survive with some form of kidney replacement (transplant or dialysis). Unfortunately, innovations in kidney replacement therapy lag behind many other medical fields. This study compiles expert opinions on candidate technologies for future kidney replacement therapies. A worldwide web‐based survey was conducted with 1,566 responding experts, identified via a text-mining process of scientific publications on kidney (renal) replacement therapy, indexed in the Web of Science Core Collection (period 2014‐2019). Candidate innovative approaches were categorized in line with the Kidney Health Initiative roadmap for innovative kidney replacement therapies. Most respondents expected a revolution in kidney replacement therapies: 68.59% before 2040 and 24.85% after 2040, while 6.56% expected none. Approaches anticipated as most likely were implantable artificial kidneys (38.6%) and wearable artificial kidneys (32.4%). A majority of experts expect that kidney replacement therapies can be significantly improved by innovative technologies.

https://doi.org/10.1111/aor.13784

Author(s): Bernardo Pereira Cabral, Joseph V. Bonventre , Fokko Wieringa , Fabio Batista Mota
Organization(s): Oswaldo Cruz Foundation, Harvard Medical School, Maastricht University
Source: Artificial Organs                                                                                              Year: 2020

Consolidation in a crisis: Patterns of international collaboration in early COVID-19 research (FULL-TEXT)

Network analysis, Research Examples, Uncategorized

This paper seeks to understand whether a catastrophic and urgent event, such as the first months of the COVID-19 pandemic, accelerates or reverses trends in international collaboration, especially in and between China and the United States. A review of research articles produced in the first months of the COVID-19 pandemic shows that COVID-19 research had smaller teams and involved fewer nations than pre-COVID-19 coronavirus research. The United States and China were, and continue to be in the pandemic era, at the center of the global network in coronavirus related research, while developing countries are relatively absent from early research activities in the COVID-19 period. Not only are China and the United States at the center of the global network of coronavirus research, but they strengthen their bilateral research relationship during COVID-19, producing more than 4.9% of all global articles together, in contrast to 3.6% before the pandemic. In addition, in the COVID-19 period, joined by the United Kingdom, China and the United States continued their roles as the largest contributors to, and home to the main funders of, coronavirus related research. These findings suggest that the global COVID-19 pandemic shifted the geographic loci of coronavirus research, as well as the structure of scientific teams, narrowing team membership and favoring elite structures. These findings raise further questions over the decisions that scientists face in the formation of teams to maximize a speed, skill trade-off. Policy implications are discussed.

For FULL-TEXT go to https://doi.org/10.1371/journal.pone.0236307

Author(s): Caroline V. Fry, Xiaojing Cai, Yi Zhang, Caroline S. Wagner
Organization(s): University of Hawai’i at Manoa, The Ohio State University, University of Technology Sydney
Source: PloS One
Year: 2020

Fuel-Cell Electric Vehicles: Plotting a Scientific and Technological Knowledge Map (FULL-TEXT)

Network analysis, Research Examples, Research profiling

The fuel-cell electric vehicle (FCEV) has been defined as a promising way to avoid road transport greenhouse emissions, but nowadays, they are not commercially available. However, few studies have attempted to monitor the global scientific research and technological profile of FCEVs. For this reason, scientific research and technological development in the field of FCEV from 1999 to 2019 have been researched using bibliometric and patent data analysis, including network analysis. Based on reports, the current status indicates that FCEV research topics have reached maturity. In
addition, the analysis reveals other important findings: (1) The USA is the most productive in science and patent jurisdiction; (2) both Chinese universities and their authors are the most productive in science; however, technological development is led by Japanese car manufacturers; (3) in scientific research, collaboration is located within the tri-polar world (North America–Europe–Asia-Pacific); nonetheless, technological development is isolated to collaborations between companies of the same
automotive group; (4) science is currently directing its efforts towards hydrogen production and storage, energy management systems related to battery and hydrogen energy, Life Cycle Assessment, and greenhouse gas (GHG) emissions. The technological development focuses on technologies related to electrically propelled vehicles; (5) the International Journal of Hydrogen Energy and SAE Technical Papers are the two most important sources of knowledge diffusion. This study concludes by outlining the knowledge map and directions for further research.

https://doi.org/10.3390/su12062334 for FULL-TEXT

Author(s): Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao, Rosa Maria Rio-Belver, and Gaizka Garechana-Anacabe
Organization(s): University of the Basque Country
Source: Sustainability
Year: 2020

Mapping the tuberculosis scientific landscape among BRICS countries: A bibliometric and network analysis (FULL-TEXT)

Gephi, Network analysis, Research Examples, Research Type, Science mapping

The five BRICS countries bear 49% of the world’s TB burden and they are committed to ending tuberculosis. This paper maps the scientific landscape related to TB research in BRICS. During the period 1993–2016, there were 38,315 peer-reviewed, among them, there were 11,018 (28.7%) articles related by one or more authors in a BRICS: India 38.7%; China 23.8%; South Africa 21.1%; Brazil 13.0%; and Russia 4.5% (The total was greater than 100% because our criterion was all papers with at least one author in a BRICS). Among the BRICS, there was greater interaction between India and South Africa and organizations in India and China had the highest productivity; however, South African organizations had more interaction with countries outside the BRICS. Publications by and about BRICS generally covered all research areas, especially those in India and China covered all research areas, although Brazil and South Africa prioritized infectious diseases, microbiology, and the respiratory system. An overview of BRICS scientific publications and interactions highlighted the necessity to develop a BRICS TB research plan to increase efforts and funding to ensure that basic science research successfully translates into products and policies to help end the TB epidemic. The bubble charts were generated by VantagePoint and the networks by the Gephi 0.9.1 software (Gephi Consortium 2010) from co-occurrence matrices produced in VantagePoint. The Fruchterman-Reingold algorithm provided the networks’ layout.

For FULL-TEXT see https://doi.org/10.1590/0074-02760190342

Author(s): Kamaiaji Castor, Fabio Batista Mota, Roseli Monteiro da Silva, Bernardo Pereira Cabral, Ethel Leonor Maciel, Isabela Neves de Almeida, Denise Arakaki-Sanchez, Kleydson Bonfim Andrade, Vadim Testov, Irina Vasilyeva, Yanlin Zhao, Hui Zhang, Manjula Singh, Raghuram Rao, Srikanth Tripathy, Glenda Gray, Nesri Padayatchi, Niresh Bhagwandin, Soumya Swaminathan, Tereza Kasaeva, Afrânio Kritski
Organization(s): Fundação Oswaldo Cruz-Fiocruz; Ministério da Saúde, Programa Nacional de Controle da Tuberculose; National Medical Research Centre of Pthtisiopulmonology and Infection Diseases, MoH; National Centre for Tuberculosis Control and Prevention, China CDC; University of KwaZulu-Natal
Source: Memórias do Instituto Oswaldo Cruz
Year: 2020

Technological domain in the automotive sector: analysis of the relational structure of patents for electric vehicles (FULL-TEXT)

Network analysis, Patents, Research Examples

This work aims to analyse a relational structure of patents in automotive sector, especially for electric vehicles. The automotive industry is equivalent to 22% of Brazil’s industrial gross domestic product (GDP), 4% of Brazil’s total GDP, and worldwide it should reach a mark of 100 million vehicles sold by 2020. In recent decades, innovation processes have become a matter of survival for companies. Resource Based View admits that companies are looking for strategic resources that are a source of competitive advantage. This work comprises the automotive market as an organizational field in which the actors struggle to reach more favourable positions from the available resources. The network approach was used together with patent analysis to highlight the existing relationships within this industry in the construction of innovation, through the analysis of patents of high commercial value in the automotive sector, collected through the Derwent database.

For FULL-TEXT see http://leblog.gerpisa.org/node/4456

Author: Filippo Filippo Savoi de Assis
Organization: Universidade Federal de São Carlos – UFSCar
Source: Gerpisa Colloquium
Year: 2018

Fine-grained Construction of Semantic Technology Network for Technology Evolution Analysis

Network analysis, Patents, Research Examples, Research Type

As a basic tool for technology evolution analysis, technology network can visualize the relationship among technologies in different patents. However, the current constructions of technology network only represent common technical information, and cannot reflect different types of technical information. We propose a new approach to construct a fine-grained technology network and display technical information from multiple perspectives. Based on the Subject-Action-Object (SAO) structures extracted from patent documents, we first classify the technical information, and then investigate the semantic relationship among different types of technical information. Based on that, single-type and multi-type technology networks are constructed, which can demonstrate different types of technical information and make the technology evolution analysis easier and more reliable. Finally, taking the Nano-fertilizer patents as a data source, we construct a fine-grained construction of technology network, which might help identify fundamental and emerging technologies in the Nano-fertilizer field.

doi>10.1145/3331453.3361638

Author(s): Xiaoman Li, Hongyan Song, Xuefu Zhang, Qian Xu

Organization: Agricultural Information Institute, Chinese Academy of Agricultural Sciences

Source: Proceedings of the 3rd International Conference on Computer Science and Application Engineering

Year: 2019