Category Archives: Network analysis

Identify Potential Opportunity for Research Collaboration Using Bibliometrics

In recent decades, there has been a notable shift toward R&D that crosses disciplines and organizational boundaries. One reason is because of the complexity and scope of the problems that society is currently facing (e.g., global warming, emerging infectious diseases, and loss of natural resources). These problems require innovative solutions that integrate knowledge from different disciplines. The concept of networking R&D is therefore increasingly important. However, the main challenge in initiating any cross discipline development is how to identify the potential groups of experts for collaboration and which areas of expertise they specialize in. One common expert identification method is based on social connections, i.e., ask people and follow referrals until finding someone with appropriate expertise. However, this could be a time-consuming and biased task. Fortunately with the availability and accessibility of research literature and the advancement in information retrieval, natural language processing, and machine learning, potential experts can be identified automatically from such information sources.

This study aims to apply bibliometric analysis of research publications to discover potential research collaboration among key researchers. To address this challenge, two research questions are needed to be answered: (1) who are the key researchers/practitioners in the specified field? and (2) are there any forms of collaboration or linkages among these experts in the field?

The analysis can identify experts whose relationships have already been established as well as for those who never know each other, yet seem to share similar research interests. The latter case can be considered as a hidden network in which the collaboration among those experts can also be initiated.

Author(s): Nathasit Gerdsri, Alisa Kongthon
Organization(s): National Electronics and Computer Technology Center, Mahidol University
Source: International Journal of Business
Year: 2018

Revisiting the concept of Innovative Developing Countries (IDCs) for its relevance to health innovation and neglected tropical diseases and for the prevention and control of epidemics (Full-paper)

Splitting countries into two groups—rich and poor; developed (the “North”) and developing (the “South”); leaders and followers—appears to us to be progressively more simplistic, unrealistic and a heritage from colonial times. Triggered by the first wave of globalization, the share of world income going to today’s wealthy nations soared from twenty to almost seventy percent between 1820 and 1990, a fact that supported and strengthened this dichotomic vision; however, the new globalization driven by information technology has propelled the rapid industrialization of several developing nations and simultaneous deindustrialization of developed nations, a phenomenon that has not yet been fully understood nor reflected in traditional economic indexes and analyses. In this article we revisit the 2005 concept of Innovative Developing Countries (IDCs) that points to the underrepresentation of IDCs in well-known innovation indexes and country ranks. Our analysis clearly shows a prominent role for IDCs in health innovation, research and development on NTDs and in epidemics preparedness, prevention and control.

Full-paper link

Author(s): Alexandre Guimarães Vasconcellos, Bruna de Paula Fonseca e Fonseca, Carlos Medicis Morel
Organization(s): National Institute of Industrial Property (INPI), Oswaldo Cruz Foundation (Fiocruz)
Source: PLoS Neglected Tropical Diseases
Year: 2018

Research network emergence: societal issues in nanotechnology and the center for nanotechnology in society

This article looks at the creation of a network of researchers of social issues in nanotechnology and the role of the Center for Nanotechnology in Society at Arizona State University (CNS-ASU) in the creation of this network. The extent to which CNS-ASU is associated with the development of a research network around the study of social issues in nanotechnology is examined through geographic mapping of co-authors and citations of center publications, network analysis of co-authors of papers on social issues in nanotechnology, and a disciplinary analysis of these papers. The results indicate that there is an extensive network of co-authorships among researchers studying social issues in nanotechnology with CNS-ASU at the center of this network. In addition, papers written by center members and affiliates integrate a diverse range of disciplines. Qualitative data are used to interpret some of the ways that citation occurs.

Author(s): Jan Youtie, Philip Shapira, Michael Reinsborough, Erik Fisher
Organization(s): Georgia Institute of Technology, Arizona State University
Source: Science and Public Policy
Year: 2018

A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory

This study aims at identifying potential industry-university-research collaboration (IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.

Design/methodology/approach: The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.
Findings: Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations: In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.
Practical implications: Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.
Originality/value: Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.

Author(s): Haiyun Xu, Chao Wang, Kun Dong, Rui Luo, Zenghui Yue, Hongshen Pang
Source: Journal of Data and Information Science
Year: 2018

Innovation core, innovation semi-periphery and technology transfer: The case of wind energy patents

Some scholars have pointed to a rise of South-South technological transfer led by emerging economies such as China, India, Brazil and South Africa while other scholars highlight that emerging economies still need to catch up with developed countries. Drawing on world system’s theory, we argue that an adapted innovation framework of ‘core – semi-periphery – periphery’ could be an important analytical framework that may help us understand the process of innovation catch up. This may help specifically to better understand how an emerging economy can at least in theory have sectors that could be defined as innovation core and source for technology transfer. We will look at wind energy as North American, European, Indian and Chinese firms dominate the market. This study used citation network analysis and patent analysis to analyse knowledge flows between wind firms and to identify and compare the position and role of each firm in the knowledge network. We argue that there is still, despite catching up, a difference between innovation core countries (US, Germany, Denmark) and innovation semi-periphery (China, India) which will limit the opportunities of knowledge transfer within the sector of wind energy.

Author(s): Johan Nordensvard, Yuan Zhou, Xiao Zhang
Organization(s): University of Southampton, Tsinghua University
Source: Energy Policy
Year: 2018

South-south collaboration on HIV/AIDS prevention and treatment research: when birds of a feather rarely flock together (full-text)

South-south collaboration on health and development research is a critical mechanism for social and economic progress. It allows sharing and replicating experiences to find a “southern solution” to meet shared health challenges, such as access to adequate HIV/AIDS prevention and treatment. This study aimed to generate evidence on the dynamics of south-south collaboration in HIV/AIDS research, which could ultimately inform stakeholders on the progress and nature of collaboration towards increased research capacities in low- and middle-income countries (LMIC).

Bibliometric and social network analysis methods were used to assess the 10-year (2006–2015) scientific contribution of LMIC, through the analysis of scientific publications on HIV/AIDS prevention and/or treatment. Five dimensions oriented the study: knowledge production, co-authorship analysis, research themes mapping, research types classification and funding sources.

Publications involving LMIC have substantially increased overtime, despite small expression of south-south collaboration. Research themes mapping revealed that publication focus varied according to collaborating countries’ income categories, from diagnosis, opportunistic infections and laboratory-based research (LMIC single or LMIC-LMIC) to human behavior and healthcare, drug therapy and mother to child transmission (LMIC-HIC). The analysis of research types showed that south-south collaborations frequently targeted social sciences issues. Funding agencies acknowledged in south-south collaboration also showed diverse focus: LMIC-based funders tended to support basic biomedical research whereas international/HIC-based funders seem to cover predominantly social sciences-oriented research.

Although the global environment has fostered an increasing participation of LMIC in collaborative learning models, south-south collaboration on HIV/AIDS prevention and/or treatment research seemed to be lower than expected, stressing the need for strategies to foster these partnerships. The evidence presented in this study can be used to strengthen a knowledge platform to inform future policy, planning and funding decisions, contributing to the development of enhanced collaboration and a priority research agenda for LMICs.

For full-text see

Author(s): Bruna de Paula Fonseca e Fonseca, Priscila Costa Albuquerque, Ed Noyons, Fabio Zicker
Organization(s): Oswaldo Cruz Foundation (Fiocruz),  Leiden University
Source: Globalization and Health
Year: 2018

Emerging Networking Methods: Analyzing Funding Patterns and Their Evolution in Two Medical Research Topics

This chapter analyzes funding patterns and their evolution in two medical research topics: breast cancer and ovarian cancer, taking into account cross-agency and cross-national co-funding. A bibliometric analysis of 355,463 papers from PubMed (273,526 on breast cancer and 81,937 on ovarian cancer) brought out 91 funding agencies involved in breast cancer and 65 in ovarian cancer. Additionally, the study examined the evolution of Medical Subject Headings (MESH) funded by agencies. An analysis of patterns in funding, co-funding, MESH, and their evolution, was carried out using Social Network Analysis (SNA) methodology. The results show the importance of the National Cancer Institute (NCI) in both breast and ovarian cancer. The NCI achieves its policy goals by co-funding its programs with both national and cross-national agencies. Moreover, the MESH that agencies co-funded in the two years studied coincided; however, it must be said that the number of agencies which participated in research funding also increased.

Author(s): Blanca de-Miguel-Molina, Scott W. Cunningham, Fernando Palop
Organization(s): Universitat Politècnica de València, TU Delft
Source: Innovation Discovery: Network Analysis of Research and Invention Activity for Technology Management (Chpt 14)
Year: 2018

Bibliometrics and Social Network Analysis Supporting the Research Development of Emerging Areas: Case Studies from Thailand

This chapter focuses on applying bibliometric analysis and text mining technique to generate technology intelligence from publication databases. The intelligence represents the research profile and landscape by highlighting active research areas and revealing professional communities along with their social networks. Professional communities are both hidden and promoted. In developing countries, such as Thailand in particular, the number of experts in science and technology is quite limited. The mobility of talent between academia, government, and industry is therefore essential for knowledge transfer and technology diffusion. The main challenge is how to identify the potential groups of experts leading to future research collaboration. In this chapter, the case analysis of two emerging research areas in Thailand are presented; Biomedical Engineering (BME) and Data Science. The findings are used as key inputs for the development of effective policies and incentives to promote the research activities as well as research collaboration among different groups of experts.

Author(s): Nathasit Gerdsri, Alisa Kongthon
Organization(s): Mahidol University, National Electronics and Computer Technology Center (NECTEC)
Source: Innovation Discovery: Network Analysis of Research and Invention Activity for Technology Management (Chpt 10)
Year: 2018

Bibliometrics and Networks: Case of a Multinational Perspective on How Eco-Innovation has Evolved in Academic Literature

Recent studies in literature on eco-innovation have adopted a systematic approach, rather than taking advantage of what the iMetrics method — different types of information studies such as bibliometrics, scientometrics, and informetrics — can contribute to the understanding of how knowledge increases and develops in a particular field. This chapter contributes to filling this gap by completing what other studies have already revealed. Our contribution adds information about the evolution in research on eco-innovation and the distinct nature of the knowledge generated by most important countries in the field. In this chapter, through the examination of scientific papers indexed in the Web of Science and Scopus databases, an analysis of co-keywords was undertaken through the use of Social Network Analysis. These results indicated that: (a) eco-innovation was related to environment, management, and engineering; (b) evolution in the field moved toward a practitioner context, a factor which is shown in the changes of the most important keywords; and (c) mapping the science in this field is contextual, depicting the structural characteristics of different countries. These results may be of interest to researchers, practitioners, and policy makers. In particular, researchers can make interesting contacts and detect gaps for future research; practitioners can find institutions and researchers to work with; and policy makers can use the differences between knowledge patterns in the different countries for decision-making.

Author(s): Blanca de-Miguel-Molina, María de-Miguel-Molina, María-del-Val Segarra-Oña, Ángel Peiró-Signes
Organization(s): Universitat Politècnica de València
Source: Innovation Discovery: Network Analysis of Research and Invention Activity for Technology Management (Chpt 9)
Year: 2018

Mapping the dengue scientific landscape worldwide: a bibliometric and network analysis (full-text)

Despite the current global trend of reduction in the morbidity and mortality of neglected diseases, dengue’s incidence has increased and occurrence areas have expanded. Dengue also persists as a scientific and technological challenge since there is no effective treatment, vaccine, vector control or public health intervention. Combining bibliometrics and social network analysis methods can support the mapping of dengue research and development (R&D) activities worldwide.

We use scientific publication data from Web of Science Core Collection – articles indexed in Science Citation Index Expanded (SCI-EXPANDED) – and combine bibliometrics and social network analysis techniques to identify the most relevant journals, scientific references, research areas, countries and research organisations in the dengue scientific landscape.

Our results show a significant increase of dengue publications over time; tropical medicine and virology as the most frequent research areas and biochemistry and molecular biology as the most central area in the network; USA and Brazil as the most productive countries; and Mahidol University and Fundação Oswaldo Cruz as the main research organisations and the Centres for Disease Control and Prevention as the most central organisation in the collaboration network.

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Author(s): Fabio Batista Mota, Bruna de Paula Fonseca e Fonseca, Andréia Cristina Galina, Roseli Monteiro da Silva
Organization(s): Fundação Oswaldo Cruz-Fiocruz
Source: Memórias do Instituto Oswaldo Cruz
Year: 2017