All posts by VPInstitute

Exploring the Asian innovation networks (AINs) characteristics

In this study, we attempted to fill an important gap that literature has yet to investigate: the characteristics of the Asian Innovation Networks. This paper depicts the characteristics of the Asian Innovation Networks for four main emerging technologies: 3D printing technology, big data technology, integrated circuit technology and carbon nanotubes and graphene technology. The networks’ characteristics are presented by calculating the different network centrality indicators. In order to show these characteristics intuitively, the visualization method was also used. Both methods are based on an analysis of patents and patent data are collected from the European Patent Office (EPO) database. The results indicate that Japan ranks first in betweenness centrality, while China has the highest degree centrality among nearly all the emerging technologies. In the carbon nanotubes and graphene technology innovation network, India has tight interactions with South Korea, and Iran is closely related to Malaysia. Thailand plays an important role in the big data technology innovation network. The centrality trend for Asian countries in innovation networks has gradually decreased. This could be useful for developing Asian countries to make international scientific and technological collaboration strategies and policies in the future.

http://journals.sagepub.com/doi/abs/10.1177/0266666917724583

Author(s): Xu Bai, Yun Liu
Organization(s): Beijing Institute of Technology
Source: Information Development
Year: 2017

A critical assessment of INPA’s scientific cooperation based on publications from 2004 to 2014

In the 1990s, scientific cooperation at the National Institute for Amazonian Research (Instituto Nacional de Pesquisas da Amazônia – INPA), one of the oldest research institutions in Amazonia with the highest regional international cooperation, was dominated by research conducted by INPA’s foreign partners. In this article, the evolution of this situation is evaluated, with the hypothesis that, as the internal and the external environments have changed over the past decade, this should be reflected in more symmetrical research cooperation. The analysis was based on a 2004 to 2014 Web of Science search of scientific production at INPA, from which 786 papers were recovered. The results indicated an increase in scientific production but without a corresponding increase in symmetrical cooperation. The level of symmetry varied according to the type of cooperation; it increased when Brazilian institutions were exclusively involved, although these papers tended to be published in journals with a low impact factor. However, the scientific relationships remained relatively asymmetrical when only foreign institutions were involved, although these papers were published in journals with high impact factors. Network analyses indicated that most international scientific cooperation was concentrated in just two INPA research departments: Biodiversity and Environmental Dynamics. In contrast, INPA’s other two research departments, Technology & Innovation and Society, Environment & Health were peripheral, fragmented and benefited little from international cooperation.

http://www.scielo.br/scielo.php?pid=S0044-59672017000300247&script=sci_arttext

Author(s): Luiza Magalli Pinto HENRIQUES, Mark UNGAR, George Henrique REBELO
Organization: Instituto Nacional de Pesquisas da Amazônia
Source: Acta Amazonica
Year: 2017

Knowledge Intensive Business Services (KIBS): bibliometric analysis and their different behaviors in the scientific literature Topic 16 – Innovation and services

This study analyzes scientific articles present in the databases Web of Science, Scopus and SciELO. Two hundred and thirty-five studies were examined, by using variations in bibliometrics. The main objective of this article is to analyze the set of studies that address the different behaviors Knowledge Intensive Business Services in the scientific literature. The results show a concentration of publications in the years 2005, 2010, 2012 and 2013, including the theme’s interdisciplinary perspective. Most studies are quantitative and were published in the last five years. The first study was presented at an international conference in the year 2000. The most quoted authors were Hertog, Miles, and Muller. The set of publications examined presents two groups of behaviors: roles and attributes of Knowledge Intensive Business Services. This research aimed to analyze Knowledge Intensive Business Services over time and contribute to its expansion in Brazil.

https://pdfs.semanticscholar.org/62d9/f0e781b2fe888f79b4fad33fbb9bddc11ef7.pdf

Author(s): Ronnie J-Figueiredo, Júlio Vieira Neto, Osvaldo Luiz Goncalves Quelhas, João José de Matos Ferreira
Organization: Universidade Federal Fluminense
Source: RAI Revista de Administração e Inovação
Year: 2017

Technological surveillance of aromatic species: from research to the consolidation of the productive chain in Colombia.

The sector of aromatic, medicinal and seasoning herbs brings together a wide variety of native and introduced species with agroindustrial potential. In order to contribute to the technological assessment of the sector in Colombia and provide elements of strategic planning towards higher levels of development and internationalization. We prioritized certain aromatic species in this article and a technological surveillance was made during 2004-2014. A searching scientific articles and patents was made in eight national, iberoamerican and worldwide databases according prioritized issues. Data processing was performed using Microsoft Excel, EndNote, Vantage Point (2014) Thomson Data Analyzer programs. At National level, the planting material and breeding has been the main researched topic; whereas in iberoamerica and the world was biocidal effect. The leading countries in research on the monitored aromatic plants were Brazil, Colombia and Cuba. Internationally, the scientific leaders according to PubMed and Scopus were India, USA, Brazil and Colombia. The global trend in the field of patents has increased, whose main focus is: “Current needs of life”. This technological surveillance gives an overview of developments and trends in research and technological development in different subject areas within the aromatic plants, besides identifying possible allied research and the scientific production trends over time.

DOI: 10.21930/rcta.vol18_num2_art:636

Author(s): Tofiño-Rivera, A. P.; Ortega-Cuadros, M.; Melo-Ríos, A.; Mier-Giraldo, H. J.
Organization: Universidad Nacional de Colombia
Source: Revista Corpoica – Ciencia y Tecnologia Agropecuarias
Year: 2017

Mapping the scientific research on open data: A bibliometric review

This paper presents a review of open data research based on bibliometric analysis of publications in Web of Science from 1998 to 2016. It shows that research on open data has grown rapidly since 2009 with the development of various open data initiatives. We identify the different themes using science mapping and performance analysis. The most important themes are semantic web, open government, and crowdsourcing. The basic and transversal themes are data sharing and public sector information. As for the emerging themes, these are Big Data and open government data. In addition, data journalism, monitoring, and recommender systems are specific themes that deserve special attention. The UK and the USA are the leading publishing countries, both in theoretical and practical research on open data. In China, most researchers focus on practical research, and there have been efforts to promote the development of open data. Papers introducing large-scale projects receive more attention and citation quickly. Recently, researchers have been publishing more on objective topics, including possible issues and dilemmas in the era of Big Data and many problems such as budgets, ownership, licensing, culture, and sustainable development.

DOI:10.1002/leap.1110

Author(s):Yun Zhang, Weina Hua, Shunbo Yuan
Organization(s): Jiaxing University
Source: Learned Publishing
Year: 2017

Scientific Collaboration of Turkey with the EU Member States: The Case of Nanotechnology

As an emerging technology field, there is an on-going motivation for analyzing the trend of research networks of nanotechnology. This paper attempts to present the evolution of Turkey in nanotechnology research by taking into account the academic publications to indicate the overall trend and the leading actors and subject categories in the systems of nanotechnology innovation. The purpose of this paper is twofold: (i) to present the trend of nanotechnology research and (ii) to highlight Turkey’s collaboration patterns in the relevant research sub-fields with the EU member states. In this framework, the study aims to show whether Turkey has the capability to collaborate with the advanced group of countries such as the EU in nanotechnology and to identify the sub-fields of common interests. Finally, the results of collaboration among two parties will be correlated with the Web of Science subject categories. The findings are expected to be useful for developing the future areas of research in nanotechnology domain in collaboration with the EU.

https://search.proquest.com/openview/1edd5b538e20dc16112dccc6949c7e85/1?pq-origsite=gscholar&cbl=2036000

Author(s): Zeynep Kaplan
Organization(s): Yildiz Technical University
Source: Bilgi
Year: 2017

Big data analytics for security and criminal investigations

Applications of various data analytics technologies to security and criminal investigation during the past three decades have demonstrated the inception, growth, and maturation of criminal analytics. We first identify five cutting-edge data mining technologies such as link analysis, intelligent agents, text mining, neural networks, and machine learning. Then, we explore their recent applications to the criminal analytics domain, and discuss the challenges arising from these innovative applications. We also extend our study to big data analytics which provides some state-of-the-art technologies to reshape criminal investigations. In this paper, we review the recent literature, and examine the potentials of big data analytics for security intelligence under a criminal analytics framework. We examine some common data sources, analytics methods, and applications related to two important aspects of social network analysis namely, structural analysis and positional analysis that lay the foundation of criminal analytics. Another contribution of this paper is that we also advocate a novel criminal analytics methodology that is underpinned by big data analytics. We discuss the merits and challenges of applying big data analytics to the criminal analytics domain. Finally, we highlight the future research directions of big data analytics enhanced criminal investigations.

http://wires.wiley.com/WileyCDA/WiresArticle/articles.html?doi=10.1002%2Fwidm.1208

Author(s): M.I. Pramanik, Raymond Y.K. Lau, Wei T. Yue, Yunming Ye, Chunping Li
Organization(s): City University of Hong Kong, Shenzhen Graduate School/Harbin Institute of Technology, Tsinghua University
Source: WIREs Data Mining Knowledge Discovery
Year: 2017

Bibliometric review of research on phytoplankton in water quality assessment

To understand the current state of utilizing phytoplankton to globally evaluate water quality and provide references for future studies, bibliometric methods were used to review the articles on phytoplankton and water quality monitoring published in the Web of Science database between 1996 and 2016. A total of 5850 articles were retrieved, and 93.66% of the retrieved literature comprised research papers. The annual quantity of the published literature increased with time, for instance, 516 papers were published in 2015 which was 3.51 times the number of papers published in 1996 (147 papers). During our study period, the top five literature-publishing countries were the United States, China, Germany, Canada, and France, which published 1477, 490, 471, 465, and 351 articles, with literature growth rates of 25.25, 8.38, 8.05, 7.95, and 6.00%, respectively. All 15,990 authors, including 510 core authors, came from 3851 institutions belonging to 126 countries. The Chinese Academy of Sciences, which published 202 research papers accounting for 3.45% of the total literature published during the study period, was the first institute to publish the largest number of research papers. The total citation frequency of the articles was 130,865. The number of articles with citation frequency more than 100 and between 50 and 99 were 208 and 434, respectively. The average citation frequency of these papers was 22.37, and the H-index was 127. The annual citation of articles was found to be significantly increased, with citation only 33 times in 1996, but 18,127 times in 2015. The top five authors whose papers showed the highest citation frequency were from Germany, the United States, the United States, Australia and Canada, with the citation frequencies of 1203, 875, 698, 653, and 615, respectively. However, 693 articles had not been cited even once. All 5850 papers were published in 983 journals, mainly in the English journals, such as Hydrobiologia, Estuarine Coastal and Shelf Science, and Freshwater Biology, including 83 research subjects and mainly focused on the research fields such as marine freshwater biology, environmental science ecology. A total of 10,182 keywords were extracted from these papers, and 113 keywords appeared more than 20 times. Subsequently, 39 high-frequency effective keywords and 9 core high-frequency keywords were further extracted. The nine core high-frequency keywords, which appeared more than 100 times, were phytoplankton, algae, nutrients, eutrophication, toxicity, microalgae, estuary, phosphorus, and nitrogen, and their appearance frequencies were 442, 289, 196, 192, 137, 135, 134, 114, and 101, respectively. Analysis of the co-occurrence relationship of the high-frequency keywords showed that the keywords algae and nutrients, water eutrophication and nitrogen, phosphorus, and salt co-occurred 120 times; algae and taxonomy, biological diversity, and various groups co-occurred 82 times, algae and primary production, biomass, photosynthesis, chlorophyll, food web and bioenrichment co-occurred 57 times; algae and estuary and lake co-occurred 48 times, algae and water quality, organic matter, bacteria, toxins, and copper co-occurred 40 times; and algae and temperature and climate change co-occurred 28 times. These co-occurrence relationships showed that the relative studies concentrated on the water eutrophication, biodiversity of algae, ecology of phytoplankton, and influence of environmental factors on the phytoplankton community. Water areas of estuaries and lakes were mainly concerned. These results indicated that the amount and citation frequency of the research papers on utilizing phytoplankton to evaluate water quality were rapidly growing, and the developed countries in Europe and America contributed most to the research in this field. The number of papers published by the Chinese researchers ranked second, but there is still a huge gap between China and the developed countries because of the lack of researchers and papers with high impact power in this field of research.

http://www.sciencedirect.com/science/article/pii/S1872203217300975

Author(s): Yu-Fang Liu, Li-Chuan Sun, Yan-Liang Jiang
Organization(s): Hunan University of Science and Technology, Chinese Academy of Fishery Sciences
Source: Acta Ecologica Sinica
Year: 2017

A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale? (full-text)

This study advances a four-part indicator for technical emergence. While doing so it focuses on a particular class of emergent concepts—those which display the ability to repeatedly maintain an emergent status over multiple time periods. The authors refer to this quality as staying power and argue that those concepts which maintain this ability are deserving of greater attention. The case study we consider consists of 15 subdatatsets within the dye-sensitized solar cell framework. In this study the authors consider the impact technical domain and scale have on the behavior of persistently emergent concepts and test which of these has a greater influence.

https://link.springer.com/article/10.1007/s11192-017-2342-x

Full-text avalaible via ResearchGate
https://www.researchgate.net/publication/315462977_A_measure_of_staying_power_Is_the_persistence_of_emergent_concepts_more_significantly_influenced_by_technical_domain_or_scale

Author(s): Stephen F. Carley, Nils C. Newman, Alan L. Porter, Jon G. Garner
Organization(s): Georgia Institute of Technology, Search Technology
Source: Scientometrics
Year: 2017

Tracking the emergence of synthetic biology (full-text)

Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric definition of synthetic biology. Our approach is dimensioned from a core set of papers in synthetic biology, using procedures to obtain benchmark synthetic biology publication records, extract keywords from these benchmark records, and refine the keywords, supplemented with articles published in dedicated synthetic biology journals. We compare our search strategy with other recent bibliometric approaches to define synthetic biology, using a common source of publication data for the period from 2000 to 2015. The paper details the rapid growth and international spread of research in synthetic biology in recent years, demonstrates that diverse research disciplines are contributing to the multidisciplinary development of synthetic biology research, and visualizes this by profiling synthetic biology research on the map of science. We further show the roles of a relatively concentrated set of research sponsors in funding the growth and trajectories of synthetic biology. In addition to discussing these analyses, the paper notes limitations and suggests lines for further work.

Full-text via Open Access at
https://link.springer.com/article/10.1007/s11192-017-2452-5

Author(s): Philip Shapira, Seokbeom Kwon, Jan Youtie
Organization(s): University of Manchester, Georgia Institute of Technology
Source: Scientometrics
Year: 2017