Rongying Zhao

Visualizing the research on pervasive and ubiquitous computing

The aim of this paper is to identify the research status quo on pervasive and ubiquitous computing via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of pervasive and ubiquitous computing has evolved. A total of 5,914 papers published between 1995 and 2009 were retrieved from the Web of Science with a topic search of pervasive or ubiquitous computing. CiteSpace is a java application for analyzing and visualizing a wide range of networks from bibliographic data. By use of it, we generated the subject category network to identify the leading research fields, the research power network to find out the most productive countries and institutes, the journal co-citation map to identify the distribution of core journals, the author co-citation map to identify key scholars and their co-citation patterns, the document co-citation network to reveal the ground-breaking literature and detect the co-citation clusters on pervasive and ubiquitous computing, and depicted the hybrid network of keywords and noun phrases to explore research foci on pervasive and ubiquitous computing over the entire span 1995–2009.

Study on enterprise knowledge sharing in ESN perspective: a Chinese case study

Purpose – An enterprise social network (ESN) is part of the landscape of information reform by enterprises, using Web 2.0. In terms of the marketing targets of typical Web 2.0 techniques, enterprise knowledge sharing in Web 2.0 can be classified into different types (individual interaction type, group interaction type, social interaction type, real-time interaction type and delay interaction type). The purpose of this paper is to summarize the features and modes of different enterprises’ knowledge sharing and study enterprise knowledge sharing quantitatively from an ESN perspective by selecting real-time interaction type as the case. Design/methodology/approach – Because of the area of research, the authors supplemented social network analysis (SNA) with a mathematical modeling method and additional in-depth interviews. Findings – The Web 2.0 era provides the opportunity to quantify knowledge sharing. Also, SNA can quantitatively and visually diagnose the knowledge sharing status of the enterprise and guide the enterprise’s knowledge-sharing process. Research limitations/implications – Only a case study regarding real-time interaction type is presented; other types of interaction are not studied empirically. Practical implications – SNA, combined with a mathematical modeling method and additional in-depth interviews with team leaders or key managers in organizations, can diagnose quantitatively, visually and comprehensively the knowledge-sharing status of the enterprise. Originality/value – This paper systematically summarizes the features and modes of Web 2.0 enterprise knowledge sharing, and the multiple-method research design represents a sound approach to targeting enterprise knowledge sharing.

An evolutionary analysis of collaboration networks in scientometrics

The research area of scientometrics began during the second half of the nineteenth century. After decades of growth, the international field of scientometrics has become increasingly mature. This study intends to understand the evolution of the collaboration network in the field of scientometrics. The growth of the discipline is divided into three stages: the first period (1987–1996), the second period (1997–2006), and the third period (2007–2015). Macro-level, meso-level, and micro-level network measures across the time periods are compared. Macro-level analyses show that the degree distribution of the collaboration in each time span are consistent with power-law, and that both the average degree and average distance steadily increase with time. From the meso-level perspective, the increase of the number of clusters in the collaboration networks suggests the emergence of more collaborative fields in scientometrics. Moreover, the growth of the size of primary clusters demonstrates the expansion of the research fields and the collaboration range. Micro-level structure analyses identify the authors/researchers with high performance in raw degree measure, degree centrality measure, and betweenness measure, all of which are dynamic across different time spans. From three dimensions (raw degree, degree centrality, and betweenness centrality), the collaboration dominators are identified for each time span.

Impact evaluation of open source software: an Altmetrics perspective

With the emergence of Web 2.0, an online platform which encourages online creation of next generation tools, communication has become a nigh-indispensable tool for researchers. Allowing them to acquire, spread, and share research achievements, with a free flow of ideas online. At present, there are a growing number of studies on non-traditional evaluation indicators, but there is much fewer research focused on the software evaluation, especially for open source research software. What this research focuses on is; with the use of the open source project ‘Depsy’, this research evaluated and analyzed data collected from downloads made online through these open source software. Altmetrics cannot be confined to traditional measurable indicators. That the importance of the open source software used, and its position in the online community is itself a strong measure for academic impact and success, which is all too often overlooked in research. The research can also conclude that the multiplexing of software online, through the citation of a citation, ultimately leads to an online peered review system within the community, effectively developing and maintaining through open use software itself. Moreover, the benefits of such a system has only just begun to come to fruition, having a strong impact on academic research, and predicting research impact.

Study on themes and authors' influence of open access in China

Abstract Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon’s clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors’ influence on these themes. Based on this, some conclusions were got in the end.

Visual Analysis of International Oil Flax Research

Oil flax is one of five major oil crops. Linseed and linseed oil have important uses. Linseed is rich in flax gum, and it can be used as food additives, cosmetics raw powder, pharmaceutical raw materials. Linseed oil is a kind of high quality edible oil, rich in α-linolenic acid and various unsaturated fatty acids, and it plays an important role in the promotion of human intelligence, physical brain, preventing cardiovascular disease, and the suppression of disease genes.This paper selects the SCI database as the data source, and do visual analysis on the international literature related to oil flax. With the help of information visualization software CiteSpace, we can clearly display and analyze the annual published articles within and outside the country, main nations and institutions doing oil flax research, subject distribution and highly cited works. Through these analyses, we can clearly see the overall situation of oil flax.

Research of International Webometrics in Frontier Domains in Visualized Information

With the newly developed information visualization methods, this paper analyzed the literature themed at Webometrics cited by ISI Web of Knowledge. Using the software CitespaceⅡ,this study developed a knowledge map of the representative personage and works on Webometrics. Finally, based on the detection of the subject headings with word frequency of significant fluctuation, the research frontier and the further development trend of Webometrics was determined and the knowledge map of them was developed.

Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups

Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the data of scientific literatures. In this study, in order to provide useful information for better enterprise management, the idea and method of ACA was applied to analyze the information interaction intensity and contents of enterprise web users. Firstly, the development of ACA was briefly introduced. Then the sample data and method used in this study were given. Three QQ groups’ instant messages of a Chinese company were selected as the raw data and the concepts and model of user interaction intensity (UII) were proposed by referring the ACA theory. Social network analysis method, combined with in-deep interview method were used to analyze the information interaction intensity and contents of enterprise users. Operatively, Excel, Ucinet, Pajek, Netdraw and VOSviewer software were combined to analyze them quantitatively and visually. Finally, it concluded that UII model was relatively reasonable and it could nicely measure the information interaction intensity and contents of enterprise web users.

Visual Analysis on the Research of Oil Crop

Oil crops occupy an important position in the world economy in the past twenty-five years. The production of oil crops has increased twice and oil products are mainly used for food, fodder, mechanical, smelt, soap, paint, rubber, plastic, medical and other areas. Information visualization provides new ways for scientometrics and knowmetrics in recent years. This paper does the visual analysis of international oil crop. Based on analytic techniques such as co-citation analysis, co-appearance analysis and information visualization, this paper maps the co-citation network, hot words of most cited papers and front words of oil crop using the CiteSpace software. It identifies the content of high cited documents, analyzes the research focus of international oil crop.

The Exploration of Evolution of Knowledge Network

This paper explores evolution of the notion of Knowledge Network for the first time. Firstly, the evolution of the concept of knowledge network is discussed from “Network of Scientific Papers” by Price to Brooks’ “Knowledge Map”, “Knowledge Gene” and “Knowledge Network”. Secondly, Various concepts in different research viewpoints and research background in the evolution of the concept of knowledge network are analyzed. Four theories are concluded as “Theory of Map”, “Theory of Gene”, “Theory of Network” and “Theory of Knowledge Forms” from the aspect of discipline of science. Finely,Philosophical rules of the concept evolution of knowledge network are expounded. Keywords-Knowledge Network; Citation Network; Knowledge Map; Knowledge Gene It can be seen, since knowledge was created, that people have been dreaming to exceed time and space obstacle by various ways so that they can acquire knowledge, own knowledge and control knowledge more conveniently. Hence, they proposed various theories during the different historical periods in exploring knowledge network so as to master and control knowledge. This paper tends to discuss the knowledge forms and relevant theories proposed during the early period of concept evolution of knowledge network from the aspect of discipline of science. I. CITATION NETWORK AND THEORY OF MAP: FROM THE NETWORK OF SCIENTIFIC PAPERS TO RECOGNITION MAP, KNOWLEDGE MAP AND KNOWLEDGE ATLAS Literature study shows that the emergence of “theory of map ” originated from Price’s “Network of Science Papers”. A. Price’s “Network of Science Papers” and Science Topography In 1965, after publishing the famous papers “Science Since Babran Age ” and “Small Science and Big Science”, on the basis of “Science Citation Index” by Garfield’s ISI, Price (D. Price) published another famous paper “Network of Science Papers”, in which he thoroughly and creatively studied the relationship of citation and sitation between science papers and the so-called “citation network”. Price finally emphasized that all the first class scientists should keep a close eye on the work of their colleagues and that of the same generation, since frontier science relies on the recent achievements. On the network map, there must be thickly distributed strips or pieces. If we can understand the strips and pieces well enough, then we can draw the “Topography” of contemporary science. B. Brooks and Cognitive Map Brooks first ingeniously proposed the concept of cognitive maps in his paper “The Foundation of Information Science” in 1980. He thinks that the classification and indexing methods applied by the librarians and information workers for indicating the documentations are not the organized knowledge, but organized documentation. The system built up by this way can only afford the users documentation clues, by which they acquire original documentation. Meanwhile, they have to spend a lot of time in reading and analyzing and then obtain the needed knowledge content or information.