Early identification of important patents through network centrality

One of the most challenging problems in technological forecasting is to identify as early as possible those technologies that have the potential to lead to radical changes in our society. In this paper, we use the US patent citation network (1926-2010) to test our ability to early identify a list of historically significant patents through citation network analysis. We show that in order to effectively uncover these patents shortly after they are issued, we need to go beyond raw citation counts and take into account both the citation network topology and temporal information. In particular, an age-normalized measure of patent centrality, called rescaled PageRank, allows us to identify the significant patents earlier than citation count and PageRank score. In addition, we find that while high-impact patents tend to rely on other high-impact patents in a similar way as scientific papers, the patents' citation dynamics is significantly slower than that of papers, which makes the early identification of significant patents more challenging than that of significant papers.Comment: 14 page

An Exploratory Study of Information Systems Researcher Impact

Citation counts of refereed articles are a potentially valuable measure of the impact of a researcher\u27s work, in the information systems discipline as in many others. Citation counts can be generated from a number of data collections, including Thomson’s ISI database and Google Scholar. This paper reports on an exploratory study of the apparent impact of IS researchers, as disclosed by citation counts of their works in those two collections. Citation analysis using currently available databases is found to be fraught with many serious problems, particularly if the ISI collection is used. Unless these problems are appreciated and addressed, IS researchers will be under-valued by those with authority over research funding and employment, to the serious detriment of the IS discipline

Studies on Utilizing the Three Famous International Index Systems to Evaluate Scientific Research Level of Higher Learning Institutions

Science Citation Index (SCI), The Engineering Index (EI) and Index to Scientific & Technical Proceeding (ISTP) are widely accepted and used to evaluate the scientific research level of higher learning institutions by many country's science and technology field currently. After research, we point out the blemishes in this method and put forward the problems that need to be noticed, and then, under current conditions, bring forward brand-new standard and method to estimate research level, efficiency, fund exploitation and so on. One shouldn't over-emphasize the total amount of papers collected in SCI, EI & ISTP when evaluating the scientific research level of higher learning institutions, whereas using ‘comprehensive factor’ analysis method can make it more scientific and efficient

Internet Finance: A Systematic Literature Review and Bibliometric Analysis

Internet finance has gained growing popularity in internet plus environment. While various problems have emerged, and hindered the sustainable growth of internet finance industry. Thus, a summary of existent research and directions for future study are expected. However, few comprehensive literature reviews has been published. This paper presents a thorough bibliometric and network analysis following a systematic literature review methodology. The analysis begins by identifying 331 published studies in Web of Science. Prolific authors, institutions and nations are identified by rigorous bibliometric tools. Based on citation and co-citation analysis, influential papers from different time periods are identified. Established and emergent research clusters are identified for topological analysis by coupling analysis. Future research opportunities are pointed out

Seven Dimensions of Portability for Language Documentation and Description

The process of documenting and describing the world's languages is undergoing radical transformation with the rapid uptake of new digital technologies for capture, storage, annotation and dissemination. However, uncritical adoption of new tools and technologies is leading to resources that are difficult to reuse and which are less portable than the conventional printed resources they replace. We begin by reviewing current uses of software tools and digital technologies for language documentation and description. This sheds light on how digital language documentation and description are created and managed, leading to an analysis of seven portability problems under the following headings: content, format, discovery, access, citation, preservation and rights. After characterizing each problem we provide a series of value statements, and this provides the framework for a broad range of best practice recommendations.Comment: 8 page

Ideas and innovation in East Asia

The generation, diffusion, absorption and application of new technology, knowledge or ideas are crucial drivers of development. This paper surveys the diverse approaches to innovation adopted by East Asian economies, the problems faced and outcomes achieved, as well as possible policy lessons. Knowledge flows from advanced countries remain the primary source of new ideas in developing economies. The authors evaluate the role of three main channels for knowledge flows to East Asia - international trade, acquisition of disembodied knowledge and foreign direct investment. The paper then looks at the exceptionally fast growth in domestic innovation efforts in Korea, Taiwan (China), Singapore and China, drawing on information about R&D as well as original analysis of patent and patent citation data. Citation analysis shows that while East Asian innovations continue to draw heavily on knowledge flows from the US and Japan, citations to the same or to other East Asian economies are quickly rising, indicating the emergence of national and regional knowledge stocks as a foundation for innovation. A last section pulls together findings about policies and institutions to foster innovation, under three heads: the overall business environment for innovation (macroeconomic stability, financial development, openness, competition, intellectual property rights and the quality of communications infrastructure), human capital development, and government fiscal support for innovation.E-Business,Knowledge Economy,Economic Theory&Research,Technology Industry,Agricultural Knowledge&Information Systems

Analysis of Built Environment Features and their Effects on Freight Activities

AbstractThis study analyses truck parking citation data in Chicago to identify factors that affect concentration of high density of violations. Analysis of hot spots using a Geographic Information System (GIS) identified problem areas that are often along the major expressways as well as pockets of cold spots near the downtown. Regression analysis revealed two contrasting factors at play. One set of variables indicate that truck parking problems can be exacerbated by concentrations of food businesses in transit-oriented neighbourhoods. On the other hand, wealthy, stable neighbourhoods can present problems for truck parking

Information Management and Improvement of Citation Indices

Bibliometrics and citation analysis have become an important set of methods for library and information science, as well as an exceptional source of information and knowledge for many other areas. Their main sources are citation indices, which are bibliographic databases like Web of Science, Scopus, Google Scholar, etc. However, bibliographical databases lack perfection and standardization. There are several software tools that perform useful information management and bibliometric analysis importing data from them. A comparison has been carried out to identify which of them perform certain pre-processing tasks. Usually, they are not strong enough to detect all the duplications, mistakes, misspellings and variant names, leaving to the user the tedious and time-consuming task of correcting the data. Furthermore, some of them do not import datasets from different citation indices, but mainly from Web of Science (WoS). A new software tool, called STICCI.eu (Software Tool for Improving and Converting Citation Indices - enhancing uniformity), which is freely available online, has been created to solve these problems. STICCI.eu is able to do conversions between bibliographical citation formats (WoS, Scopus, CSV, BibTex, RIS), correct the usual mistakes appearing in those databases, detect duplications, misspellings, etc., identify and transform the full or abbreviated titles of the journals, homogenize toponymical names of countries and relevant cities or regions and list the processed data in terms of the most cited authors, journals, references, etc