Category Archives: Network analysis

Exploring New Approaches to Understanding Innovation Ecosystems

A firm’s connections into its ecosystem influences its ability to innovate. Much research on innovation ecosystems has examined high technology firms and locations and has used interview, survey, or science and technology data methods. Our study focuses on a resource-based ecosystem—agri-food in a medium-sized region—and explores a novel method using media sources to identify ecosystem links. We use this method to capture the innovation ecosystem around two plant-based protein firms and a conventional food processor in Winnipeg, Canada. We extract organisational actors from the full text of business and news articles, link co-occurring actors in social networks, and use modularity partitioning to detect communities in these networks. Our results show that the focal agri-food firms vary in their ecosystem associations, with little duplication in the actor organisations across the different firms’ networks. The plant-based protein firm networks had a greater innovation orientation than was noticeable in the established food producer’s network, particularly with industry and civic association intermediaries, government, and other agricultural companies. Insights from using the method and implications of the findings are discussed.

Author(s): Jan Youtie, Robert Ward, Philip Shapira, R. Sandra Schillo, E. Louise Earl
Organization(s): Georgia Institute of Technology, University of Ottawa
Source: Technology Analysis & Strategic Management
Year: 2021

Networking Universities and Hospitals: A Case Study of Research and Commercialization in the Taiwanese Herbal Medicine Sector

This paper provides an empirical account of the case of Taiwan in her innovative efforts in the herbal medicine sector through scientific and technological development. This study aims to propose a network analysis approach, which is typically found in innovation studies, to illustrate the sociological dimensions of actor network theory. The sector is of interest from a social studies of science perspective due to the collision between traditional knowledge philosophies, which are well accepted in East Asian communities, and scientific regulatory standards, that have raised issues regarding the legitimacy and safety of the products. This study considers the actor network linkages between universities, government and industry which act as indicators of knowledge diffusion and collaboration. Relevant records were captured using a heuristic search string and was used to visualize: (i) the number of researchers (agglomeration denoted by the size of bubbles), (ii) organizational linkages through co-authorship (connectedness indicated by the presence of lines between organizations), and (iii) position of the organization (centrality in relation to other organizations). The case presented in this study takes a snapshot of how an advanced economy such as Taiwan, has developed a productive innovation system for herbal medicine. The development of the actor network has evolved mainly from productive working relationships in a close-knit community of researchers that mainly interact through the research organizations in Taipei.

DOI: 10.1080/18752160.2021.1926618

Author(s): Hon-Ngen Fung (Kenneth), Consilz Tan
Organization(s): UOW Malaysia KDU University College, Xiamen University Malaysia
Source: East Asian Science, Technology and Society: An International Journal
Year: 2021

Health Research Networks Based on National CV Platforms in Brazil and Uruguay (FULL-TEXT)

Collaborations are an essential part of the research process. In the health area, these involve a great diversity of actors in various scientific and health subsystems. The study of collaborations has been developed mostly from the analysis of co-authorship in articles indexed in international platforms. However, these sources present some limitations to capture the production of knowledge in Latin American countries. This paper seeks to diversify the sources of information and the units of analysis for the study of collaborations in health research, by exploring data from two original and little-used sources of information in national and public Curriculum Vitae (CV) platforms: LattesCv (Brazil) and CVUy (Uruguay). Based on a wide sample of research projects extracted from CVs, networks for knowledge production are analyzed at micro (researchers) and meso (institutions) levels in each country. This preliminary analysis allows us not only to generate evidence on the nature and evolution of health research networks, but also to evaluate the advantages and limitations of CVs as a new source for the study of collaborative networks.


Author(s): Cecilia Tomassini, Claudia Cohanoff, Sofia Robaina, Jesús P Mena-Chalco
Organization(s): Universidad de la República, Universidade Federal do ABC
Source: Journal of Scientometric Research
Year: 2021

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

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

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)

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)

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.

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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)

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.

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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

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.

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)

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.

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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)

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. 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