Search (28 results, page 1 of 2)

0.05371983 = product of:
  0.08057974 = sum of:
    0.02822391 = weight(_text_:to in 4840) [ClassicSimilarity], result of:
      0.02822391 = score(doc=4840,freq=4.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.34088457 = fieldWeight in 4840, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.09375 = fieldNorm(doc=4840)
    0.052355833 = product of:
      0.10471167 = sum of:
        0.10471167 = weight(_text_:22 in 4840) [ClassicSimilarity], result of:
          0.10471167 = score(doc=4840,freq=4.0), product of:
            0.15947726 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.045541126 = queryNorm
            0.6565931 = fieldWeight in 4840, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.09375 = fieldNorm(doc=4840)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Date

22. 2.2003 17:25:39
22. 2.2003 18:13:11

Source

Visual Interfaces to Digital Libraries. Eds.: Börner, K. u. C. Chen

0.05371983 = product of:
  0.08057974 = sum of:
    0.02822391 = weight(_text_:to in 1359) [ClassicSimilarity], result of:
      0.02822391 = score(doc=1359,freq=4.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.34088457 = fieldWeight in 1359, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.09375 = fieldNorm(doc=1359)
    0.052355833 = product of:
      0.10471167 = sum of:
        0.10471167 = weight(_text_:22 in 1359) [ClassicSimilarity], result of:
          0.10471167 = score(doc=1359,freq=4.0), product of:
            0.15947726 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.045541126 = queryNorm
            0.6565931 = fieldWeight in 1359, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.09375 = fieldNorm(doc=1359)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Date

22. 2.2003 17:25:39
22. 2.2003 18:20:07

Source

Visual Interfaces to Digital Libraries. Eds.: Börner, K. u. C. Chen

0.023862889 = product of:
  0.035794333 = sum of:
    0.02036885 = weight(_text_:to in 671) [ClassicSimilarity], result of:
      0.02036885 = score(doc=671,freq=12.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.24601223 = fieldWeight in 671, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=671)
    0.015425485 = product of:
      0.03085097 = sum of:
        0.03085097 = weight(_text_:22 in 671) [ClassicSimilarity], result of:
          0.03085097 = score(doc=671,freq=2.0), product of:
            0.15947726 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.045541126 = queryNorm
            0.19345059 = fieldWeight in 671, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=671)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

Although it is commonly expected that the citation context of a reference is likely to provide more detailed and direct information about the nature of a citation, few studies in the literature have specifically addressed the extent to which the information in different parts of a scientific publication differs. Do abstracts tend to use conceptually broader terms than sentences in a citation context in the body of a publication? In this article, we propose a method to analyze and compare latent topics in scientific publications, in particular, from abstracts of papers that cited a target reference and from sentences that cited the target reference. We conducted an experiment and applied topical modeling techniques to full-text papers in eight biomedicine journals. Topics derived from the two sources are compared in terms of their similarities and broad-narrow relationships defined based on information entropy. The results show that abstracts and citation contexts are characterized by distinct sets of topics with moderate overlaps. Furthermore, the results confirm that topics from abstracts of citing papers have broader terms than topics from citation contexts formed by citing sentences. The method and the findings could be used to enhance and extend the current methodologies for research evaluation and citation evaluation.

Date

22. 3.2013 19:50:00

0.022679746 = product of:
  0.03401962 = sum of:
    0.018594133 = weight(_text_:to in 5272) [ClassicSimilarity], result of:
      0.018594133 = score(doc=5272,freq=10.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.22457743 = fieldWeight in 5272, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5272)
    0.015425485 = product of:
      0.03085097 = sum of:
        0.03085097 = weight(_text_:22 in 5272) [ClassicSimilarity], result of:
          0.03085097 = score(doc=5272,freq=2.0), product of:
            0.15947726 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.045541126 = queryNorm
            0.19345059 = fieldWeight in 5272, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5272)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time-variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co-citation footprint in scientific literature - an evolving network of scientific publications cited by research-front concepts. Kleinberg's (2002) burst-detection algorithm is adapted to identify emergent research-front concepts. Freeman's (1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time. Two complementary visualization views are designed and implemented: cluster views and time-zone views. The contributions of the approach are that (a) the nature of an intellectual base is algorithmically and temporally identified by emergent research-front terms, (b) the value of a co-citation cluster is explicitly interpreted in terms of research-front concepts, and (c) visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network. The modeling and visualization process is implemented in CiteSpace II, a Java application, and applied to the analysis of two research fields: mass extinction (1981-2004) and terrorism (1990-2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts, who are the authors of pivotal-point articles. Practical implications of the work are discussed. A number of challenges and opportunities for future studies are identified.

Date

22. 7.2006 16:11:05

0.0081475405 = product of:
  0.02444262 = sum of:
    0.02444262 = weight(_text_:to in 3764) [ClassicSimilarity], result of:
      0.02444262 = score(doc=3764,freq=12.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.29521468 = fieldWeight in 3764, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.046875 = fieldNorm(doc=3764)
  0.33333334 = coord(1/3)

Abstract

Introduces a generic approach to the development of hypermedia information systems. Emphasises the role of intrinsic inter-document relationships in structuring and visualising a large hypermedia information space. Illustrates the use of this approach based on 3 types of similarity measurements: hypertext linkage, content similarity and usage patterns. Salient patterns in these relationships are extracted and visualised in a simle and intuitive associated network. The spatial layout of a visualisation is optimised such that closely related documents are placed near to each other and only those intrinsic connections among them are shown to users as automatically generated virtual links. Supports self-organized information space transformation based on usage patterns and othe feedback such that the visual strucutre of the information space is incrementally tailored to users' search and browsing styles

Footnote

Contribution to a special section devoted to human-computer interaction and information retrieval

0.0077611795 = product of:
  0.023283537 = sum of:
    0.023283537 = weight(_text_:to in 7554) [ClassicSimilarity], result of:
      0.023283537 = score(doc=7554,freq=8.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.28121543 = fieldWeight in 7554, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0546875 = fieldNorm(doc=7554)
  0.33333334 = coord(1/3)

Abstract

This paper discusses some problems encountered in hypermedia-based collaboration and reuse, and presents a conceptual framework to resolve these problems. Three suggestions are made based on the discussion: (1) extra organizational structures are necessary in shared hypermedia to support collaborative interactions; (2) an abstract schema is a key to capture the dynamic nature of the shared hypermedia; (3) an integration of the schema evolution approach and the workflow approach is recommended for an open system hypermedia teamwork support. The whole authoring environment is divided into several component spaces with particular respect to the Dexter Hypertext Reference Model. Not only can this separation reduce the overall complexitiy of working within such an environment, but it also conforms more closely with human cognitive needs in collaborative authoring and reuse activities

0.0077611795 = product of:
  0.023283537 = sum of:
    0.023283537 = weight(_text_:to in 604) [ClassicSimilarity], result of:
      0.023283537 = score(doc=604,freq=8.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.28121543 = fieldWeight in 604, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0546875 = fieldNorm(doc=604)
  0.33333334 = coord(1/3)

Abstract

Investigates information-seeking tasks and associated cognitve issues in the context of interacting with an evolving collaborative hypertext. Fishexe view browsers were used to facilitate exploring in a large information space. The fishexe view browser was extended to incorporate word frequencies. The effects of the fisheye view browser and the changing document were tested with 2x2 factorial experiment. Multivariate tests founs a significant interaction between the 2 factors and a significant main effect of the fisheye view browser. The users who had access to the word frequency information performed their tasks more effectively than the users without access to word frequencies. This work implies that several aspects of an evolving hypertext might als be useful incorporated in an associated fishexe view browser

0.0077611795 = product of:
  0.023283537 = sum of:
    0.023283537 = weight(_text_:to in 4286) [ClassicSimilarity], result of:
      0.023283537 = score(doc=4286,freq=32.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.28121543 = fieldWeight in 4286, product of:
          5.656854 = tf(freq=32.0), with freq of:
            32.0 = termFreq=32.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4286)
  0.33333334 = coord(1/3)

Abstract

This chapter reviews visualization techniques that can be used to map the ever-growing domain structure of scientific disciplines and to support information retrieval and classification. In contrast to the comprehensive surveys conducted in traditional fashion by Howard White and Katherine McCain (1997, 1998), this survey not only reviews emerging techniques in interactive data analysis and information visualization, but also depicts the bibliographical structure of the field itself. The chapter starts by reviewing the history of knowledge domain visualization. We then present a general process flow for the visualization of knowledge domains and explain commonly used techniques. In order to visualize the domain reviewed by this chapter, we introduce a bibliographic data set of considerable size, which includes articles from the citation analysis, bibliometrics, semantics, and visualization literatures. Using tutorial style, we then apply various algorithms to demonstrate the visualization effectsl produced by different approaches and compare the results. The domain visualizations reveal the relationships within and between the four fields that together constitute the focus of this chapter. We conclude with a general discussion of research possibilities. Painting a "big picture" of scientific knowledge has long been desirable for a variety of reasons. Traditional approaches are brute forcescholars must sort through mountains of literature to perceive the outlines of their field. Obviously, this is time-consuming, difficult to replicate, and entails subjective judgments. The task is enormously complex. Sifting through recently published documents to find those that will later be recognized as important is labor intensive. Traditional approaches struggle to keep up with the pace of information growth. In multidisciplinary fields of study it is especially difficult to maintain an overview of literature dynamics. Painting the big picture of an everevolving scientific discipline is akin to the situation described in the widely known Indian legend about the blind men and the elephant. As the story goes, six blind men were trying to find out what an elephant looked like. They touched different parts of the elephant and quickly jumped to their conclusions. The one touching the body said it must be like a wall; the one touching the tail said it was like a snake; the one touching the legs said it was like a tree trunk, and so forth. But science does not stand still; the steady stream of new scientific literature creates a continuously changing structure. The resulting disappearance, fusion, and emergence of research areas add another twist to the tale-it is as if the elephant is running and dynamically changing its shape. Domain visualization, an emerging field of study, is in a similar situation. Relevant literature is spread across disciplines that have traditionally had few connections. Researchers examining the domain from a particular discipline cannot possibly have an adequate understanding of the whole. As noted by White and McCain (1997), the new generation of information scientists is technically driven in its efforts to visualize scientific disciplines. However, limited progress has been made in terms of connecting pioneers' theories and practices with the potentialities of today's enabling technologies. If the difference between past and present generations lies in the power of available technologies, what they have in common is the ultimate goal-to reveal the development of scientific knowledge.

0.0073336246 = product of:
  0.022000873 = sum of:
    0.022000873 = weight(_text_:to in 610) [ClassicSimilarity], result of:
      0.022000873 = score(doc=610,freq=14.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.2657236 = fieldWeight in 610, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=610)
  0.33333334 = coord(1/3)

Abstract

Retracting published scientific articles is increasingly common. Retraction is a self-correction mechanism of the scientific community to maintain and safeguard the integrity of scientific literature. However, a retracted article may pose a profound and long-lasting threat to the credibility of the literature. New articles may unknowingly build their work on false claims made in retracted articles. Such dependencies on retracted articles may become implicit and indirect. Consequently, it becomes increasingly important to detect implicit and indirect threats. In this article, our aim is to raise the awareness of the potential threats of retracted articles even after their retraction and demonstrate a visual analytic study of retracted articles with reference to the rest of the literature and how their citations are influenced by their retraction. The context of highly cited retracted articles is visualized in terms of a co-citation network as well as the distribution of articles that have high-order citation dependencies on retracted articles. Survival analyses of time to retraction and postretraction citation are included. Sentences that explicitly cite retracted articles are extracted from full-text articles. Transitions of topics over time are depicted in topic-flow visualizations. We recommend that new visual analytic and science mapping tools should take retracted articles into account and facilitate tasks specifically related to the detection and monitoring of retracted articles.

0.006789617 = product of:
  0.02036885 = sum of:
    0.02036885 = weight(_text_:to in 4600) [ClassicSimilarity], result of:
      0.02036885 = score(doc=4600,freq=12.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.24601223 = fieldWeight in 4600, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4600)
  0.33333334 = coord(1/3)

Abstract

The practical significances of identifying and accomodating individual differences has been established across a number of fields of research. There is a renewed interest in individual differences due to the advances in virtual environments, especially through far-reaching technologies such as information visualization and 3D graphical user interfaces on the WWW. The effects of individual differences on the use of these new technologies are yet to be found out. More fundamentally, theories and methods developed for the earlier generations of information systems are subject to a close examination of their applicability, efficiency, and effectiveness. In this article, we present a brief historical overview of research in in individual differences in the context of virtual environments. In particular, we highlight the notion of structure in the perception of individual users of an information system and the role of individuals' abilities to recognize and use such structures to perform various information-intensive tasks. Striking the balance between individuals' abilities and the demanding task for detecting, understanding, and utilizing such structures is an emerging theme across the 5 articles in this special issue. We outline the approaches and the major findings of these articles with reference to this central theme

0.006652439 = product of:
  0.019957317 = sum of:
    0.019957317 = weight(_text_:to in 2275) [ClassicSimilarity], result of:
      0.019957317 = score(doc=2275,freq=8.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.24104178 = fieldWeight in 2275, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.046875 = fieldNorm(doc=2275)
  0.33333334 = coord(1/3)

Content

We investigate the influence of culture and identity (geographic location) on the constitution of a specific research field. Using as case study the Sloan Digital Sky Survey (SDSS) project in the Astronomy field, we analyzed texts from bibliographic records of publications along three cultural and geographic axes: US only publications, non-US publications and international collaboration. Using three text mining systems (CiteSpace, TermWatch and PEx), we were able to automatically identify the topics specific to each cultural and geographic region as well as isolate the core research topics common to all geographic zones. The results tended to show that US-only and non-US research in this field shared more commonalities with international collaboration than with one another, thus indicating that the former two (US-only and non-US) research focused on rather distinct topics.

0.0061980444 = product of:
  0.018594133 = sum of:
    0.018594133 = weight(_text_:to in 1200) [ClassicSimilarity], result of:
      0.018594133 = score(doc=1200,freq=10.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.22457743 = fieldWeight in 1200, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1200)
  0.33333334 = coord(1/3)

Abstract

Portfolio analysis of the publication profile of a unit of interest, ranging from individuals and organizations to a scientific field or interdisciplinary programs, aims to inform analysts and decision makers about the position of the unit, where it has been, and where it may go in a complex adaptive environment. A portfolio analysis may aim to identify the gap between the current position of an organization and a goal that it intends to achieve or identify competencies of multiple institutions. We introduce a new visual analytic method for analyzing, comparing, and contrasting characteristics of publication portfolios. The new method introduces a novel design of dual-map thematic overlays on global maps of science. Each publication portfolio can be added as one layer of dual-map overlays over 2 related, but distinct, global maps of science: one for citing journals and the other for cited journals. We demonstrate how the new design facilitates a portfolio analysis in terms of patterns emerging from the distributions of citation threads and the dynamics of trajectories as a function of space and time. We first demonstrate the analysis of portfolios defined on a single source article. Then we contrast publication portfolios of multiple comparable units of interest; namely, colleges in universities and corporate research organizations. We also include examples of overlays of scientific fields. We expect that our method will provide new insights to portfolio analysis.

0.0061980444 = product of:
  0.018594133 = sum of:
    0.018594133 = weight(_text_:to in 3602) [ClassicSimilarity], result of:
      0.018594133 = score(doc=3602,freq=10.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.22457743 = fieldWeight in 3602, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3602)
  0.33333334 = coord(1/3)

Abstract

Using visual analytic systems effectively may incur a steep learning curve for users, especially for those who have little prior knowledge of either using the tool or accomplishing analytic tasks. How do users deal with a steep learning curve over time? Are there particularly problematic aspects of an analytic process? In this article we investigate these questions through an integrative study of the use of CiteSpace-a visual analytic tool for finding trends and patterns in scientific literature. In particular, we analyze millions of interactive events in logs generated by users worldwide over a 14-month period. The key findings are: (i) three levels of proficiency are identified, namely, level 1: low proficiency, level 2: intermediate proficiency, and level 3: high proficiency, and (ii) behavioral patterns at level 3 are resulted from a more engaging interaction with the system, involving a wider variety of events and being characterized by longer state transition paths, whereas behavioral patterns at levels 1 and 2 seem to focus on learning how to use the tool. This study contributes to the development and evaluation of visual analytic systems in realistic settings and provides a valuable addition to the study of interactive visual analytic processes.

0.0061980444 = product of:
  0.018594133 = sum of:
    0.018594133 = weight(_text_:to in 5326) [ClassicSimilarity], result of:
      0.018594133 = score(doc=5326,freq=10.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.22457743 = fieldWeight in 5326, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5326)
  0.33333334 = coord(1/3)

Abstract

Finding relevant publications is a common task. Typically, a researcher browses through a list of publications and traces additional relevant publications. When relevant publications are identified, the list may be expanded by the citation links of the relevant publications. The information needs of researchers may change as they go through such iterative processes. The exploration process quickly becomes cumbersome as the list expands. Most existing academic search systems tend to be limited in terms of the extent to which searchers can adapt their search as they proceed. In this article, we introduce an adaptive visual exploration system named PaperPoles to support exploration of scientific publications in a context-aware environment. Searchers can express their information needs by intuitively formulating positive and negative queries. The search results are grouped and displayed in a cluster view, which shows aspects and relevance patterns of the results to support navigation and exploration. We conducted an experiment to compare PaperPoles with a list-based interface in performing two academic search tasks with different complexity. The results show that PaperPoles can improve the accuracy of searching for the simple and complex tasks. It can also reduce the completion time of searching and improve exploration effectiveness in the complex task. PaperPoles demonstrates a potentially effective workflow for adaptive visual search of complex information.

0.0058669 = product of:
  0.0176007 = sum of:
    0.0176007 = weight(_text_:to in 64) [ClassicSimilarity], result of:
      0.0176007 = score(doc=64,freq=14.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.21257888 = fieldWeight in 64, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.03125 = fieldNorm(doc=64)
  0.33333334 = coord(1/3)

Abstract

A critical part of a scientific activity is to discern how a new idea is related to what we know and what may become possible. As the number of new scientific publications arrives at a rate that rapidly outpaces our capacity of reading, analyzing, and synthesizing scientific knowledge, we need to augment ourselves with information that can effectively guide us through the rapidly growing intellectual space. In this article, we address a fundamental issue concerning what kinds of information may serve as early signs of potentially valuable ideas. In particular, we are interested in information that is routinely available and derivable upon the publication of a scientific paper without assuming the availability of additional information such as its usage and citations. We propose a theoretical and computational model that predicts the potential of a scientific publication in terms of the degree to which it alters the intellectual structure of the state of the art. The structural variation approach focuses on the novel boundary-spanning connections introduced by a new article to the intellectual space. We validate the role of boundary-spanning in predicting future citations using three metrics of structural variation-namely, modularity change rate, cluster linkage, and Centrality Divergence-along with more commonly studied predictors of citations such as the number of coauthors, the number of cited references, and the number of pages. Main effects of these factors are estimated for five cases using zero-inflated negative binomial regression models of citation counts. Key findings indicate that (a) structural variations measured by cluster linkage are a better predictor of citation counts than are the more commonly studied variables such as the number of references cited, (b) the number of coauthors and the number of references are both good predictors of global citation counts to a lesser extent, and (c) the Centrality Divergence metric is potentially valuable for detecting boundary-spanning activities at interdisciplinary levels. The structural variation approach offers a new way to monitor and discern the potential of newly published papers in context. The boundary-spanning mechanism offers a conceptually simplified and unifying explanation of the roles played by commonly studied extrinsic properties of a publication in the study of citation behavior.

0.0055436995 = product of:
  0.016631098 = sum of:
    0.016631098 = weight(_text_:to in 6370) [ClassicSimilarity], result of:
      0.016631098 = score(doc=6370,freq=2.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.20086816 = fieldWeight in 6370, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.078125 = fieldNorm(doc=6370)
  0.33333334 = coord(1/3)

0.0055436995 = product of:
  0.016631098 = sum of:
    0.016631098 = weight(_text_:to in 633) [ClassicSimilarity], result of:
      0.016631098 = score(doc=633,freq=8.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.20086816 = fieldWeight in 633, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0390625 = fieldNorm(doc=633)
  0.33333334 = coord(1/3)

Abstract

Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pretrained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration witnessed a sudden decrease. During COVID-19, papers with more first-time collaboration were found to be more novel and international collaboration did not hamper novelty as it had done in the normal periods. The findings suggest the necessity of reaching out for distant resources and the importance of maintaining a collaborative scientific community beyond nationalism during a pandemic.

0.005487982 = product of:
  0.016463947 = sum of:
    0.016463947 = weight(_text_:to in 1455) [ClassicSimilarity], result of:
      0.016463947 = score(doc=1455,freq=4.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.19884932 = fieldWeight in 1455, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1455)
  0.33333334 = coord(1/3)

Abstract

This special topic issue includes a collection of seven articles an visualizing scientific paradigms. All articles in this special issue reflect the influence of Thomas Kuhn's structure of scientific revolutions an our understanding of the growth of scientific knowledge. On the other hand, each article represents a unique perspective of how one may pursue the quest for transforming something as intangible and empirically evasive as invisible colleges and competing paradigms into something that is more accessible and traceable to scholars and professions of various disciplines, ranging from historians, philosophers, and educators to scientists and engineers.

0.005487982 = product of:
  0.016463947 = sum of:
    0.016463947 = weight(_text_:to in 1469) [ClassicSimilarity], result of:
      0.016463947 = score(doc=1469,freq=4.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.19884932 = fieldWeight in 1469, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1469)
  0.33333334 = coord(1/3)

Abstract

Knowledge domain visualization is a visual exploratory approach to the study of the development of a knowledge domain. In this study, we focus an the practical issues concerning modeling and visualizing scientific revolutions. We study the growth patterns of specialties derived from citation and cocitation data an string theory in physics. Special attention is given to the two superstring revolutions since the 1980s. The superstring revolutions are visualized, animated, and analyzed using the general framework of Thomas Kuhn's structure of scientific revolutions. The implications of taking this approach are discussed.

0.005431694 = product of:
  0.016295081 = sum of:
    0.016295081 = weight(_text_:to in 2213) [ClassicSimilarity], result of:
      0.016295081 = score(doc=2213,freq=12.0), product of:
        0.08279609 = queryWeight, product of:
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.045541126 = queryNorm
        0.19680978 = fieldWeight in 2213, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.818051 = idf(docFreq=19512, maxDocs=44218)
          0.03125 = fieldNorm(doc=2213)
  0.33333334 = coord(1/3)

Footnote

Rez. in: JASIST 55(2004) no.4, S.363-365 (J.W. Schneider): "Theories and methods for mapping scientific frontiers have existed for decades-especially within quantitative studies of science. This book investigates mapping scientific frontiers from the perspective of visual thinking and visual exploration (visual communication). The central theme is construction of visual-spatial representations that may convey insights into the dynamic structure of scientific frontiers. The author's previous book, Information Visualisation and Virtual Environments (1999), also concerns some of the ideas behind and possible benefits of visual communication. This new book takes a special focus an knowledge visualization, particularly in relation to science literature. The book is not a technical tutorial as the focus is an principles of visual communication and ways that may reveal the dynamics of scientific frontiers. The new approach to science mapping presented is the culmination of different approaches from several disciplines, such as philosophy of science, information retrieval, scientometrics, domain analysis, and information visualization. The book therefore addresses an audience with different disciplinary backgrounds and tries to stimulate interdisciplinary research. Chapter 1, The Growth of Scientific Knowledge, introduces a range of examples that illustrate fundamental issues concerning visual communication in general and science mapping in particular. Chapter 2, Mapping the Universe, focuses an the basic principles of cartography for visual communication. Chapter 3, Mapping the Mind, turns the attention inward and explores the design of mind maps, maps that represent our thoughts, experience, and knowledge. Chapter 4, Enabling Techniques for Science Mapping, essentially outlines the author's basic approach to science mapping.
The title of Chapter 5, On the Shoulders of Giants, implies that knowledge of the structure of scientific frontiers in the immediate past holds the key to a fruitful exploration of people's intellectual assets. Chapter 6, Tracing Competing Paradigms explains how information visualization can draw upon the philosophical framework of paradigm shifts and thereby enable scientists to track the development of Competing paradigms. The final chapter, Tracking Latent Domain Knowledge, turns citation analysis upside down by looking at techniques that may reveal latent domain knowledge. Mapping Scientific Frontiers: The Quest for Knowledge Visualization is an excellent book and is highly recommended. The book convincingly outlines general theories conceming cartography, visual communication, and science mapping-especially how metaphors can make a "big picture"simple and useful. The author likewise Shows how the GSA framework is based not only an technical possibilities but indeed also an the visualization principles presented in the beginning chapters. Also, the author does a fine job of explaining why the mapping of scientific frontiers needs a combined effort from a diverse range of underlying disciplines, such as philosophy of science, sociology of science, scientometrics, domain analyses, information visualization, knowledge discovery, and data mining.