Visualizing the research on pervasive and ubiquitous computing

Abstract

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.

Network of the core: mapping and visualizing the core of scientific domains

“…Finally, using scientometrics techniques, such as, information visualization and document co-citation analysis (Zhao and Wang 2011) future research may also attempt to link scientific knowledge indicators (e.g., publications and patents) using the theories or constructs used in scholarly publications as a base for such linkages. Finally, keeping in view its potential for gauging and analyzing science as demonstrated in this article, we believe that, if developed further, the NC concept can potentially become a part of the discipline of Scientometrics (Price 1976(Price , 1965.…”

“…Similar to scientific and Knowledge domains mapping (Chen et al 2001;Janssens et al 2008;Zhao and Wang 2011), and concept mapping (Novak and Cañas 2008), theoretical constructs can be mapped and visualized (Hanneman 1988;Khan et al 2011a). Hanneman (1988) gave a detailed account of visualizing and mapping theories used in social science and proposed that computer-assisted simulation methods and formal language can be used to visualize and map theories in social science rather than using everyday language and complex mathematical approaches.…”

“…Domain visualization is an emerging area of interest aiming to reveal the essence of scientific domains (Chen et al 2001;Zhao and Wang 2011). The concept of graphically representing or conceptualizing a particular scientific domain can be found in the IS research domain (Dewan and Riggins 2005;Khan et al 2011b;Saebo et al 2008;Swar 2011).…”

“…Visualizing and gauging a network of scientific knowledge is an emerging area of interest (Blatt 2009;Perianes-Rodríguez et al 2010;Zhao and Wang, 2011). Scholars have developed and employed diverse approaches and techniques for measuring such networks (Hou et al 2008;Lee and Jeong, 2008;Leydesdorff 2004Leydesdorff , 2007Nagpaul 2002;Wang et al 2010).…”

Exploring the modelling and simulation knowledge base through journal co-citation analysis

“…The content analysis that is presented in this paper is co-citation analysis; we present a visualisationbased analysis of bibliographic data downloaded from the from the ISI Web of Science (Thomson Scientific Solutions, 2013) and is an approach similar to that used by Niazi and Hussain (2011), Zhao and Wang (2011) and Liu (2013). The underlying dataset for the co-citation analysis will be based on the references that have been cited by the authors that have published in the journal Simulation.…”