Mapping Knowledge Domains (2004) / Chapter Skim
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Searching for intellectual turning points: Progressive knowledge domain visualization
Searching for intellectual turning points: Progressive knowledge domain visualization
Pages 121-132
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From page 121... ...
Major changes between adjacent slices are highlighted in a panoramic visualization of the merged network. The primary motivation of the work is to simplify the search for significant papers in a knowledge domain's literature so that one can search for visually salient features, such as landmark nodes, hub nodes, and pivot nodes, in a visualized network.
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From page 122... ...
The third issue is concerned with the role of visually salient features in simplifying search tasks for intellectual turning points. Visually salient nodes include landmark nodes, pivot nodes, and hub nodes.
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From page 123... ...
The central idea of our method is to visualize how different network representations Chen Issue 3: Visually Salient Nodes in Merged Networks The third issue addressed by our method is concerned with the identification of potentially important articles in a cocitation network. The importance of a node in a cocitation network can be quickly identified by the local topological structure of the node and by additional attributes of the node.
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From page 124... ...
The user can enlarge Table 1. Time slicing and threshold settings for a set of small networks, where fc is the citation frequency threshold and fcc is the cocitation frequency threshold Time slices fc fcc Cite space size Top cited Sample, % 1985-1987 3 1 604 16 2.65 58 1988-1990 10 3 2,740 15 0.55 30 1991-1993 50 7 12,214 18 0.15 62 1994-1996 60 10 16,147 19 0.12 53 1997-1999 80 10 19,716 20 0.10 60 2000-2002 85 15 22,449 20 0.09 54 2003 25 10 9,594 13 0.14 34 Total (unique)
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From page 125... ...
The cocitation network in each time slice represents approximately the top 1% most cited articles. The merged network contains 647 unique articles, which collectively made 1,097 appearances in these time slices.
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From page 126... ...
We were able to find Polchinski's 1995 article in a smaller-sized merged network, but the article must be overwhelmed by the 4,000 strong links of the larger network. Nevertheless, the quality of the visualized network is promising: intellectually significant articles tend to have topologically unique features.
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From page 127... ...
In comparison to other methods for detecting changes of networks over time, our approach simplifies cognitively demanding tasks of comparing a sequence of network snapshots. The progressive visualization method allows us to focus on much simpler tasks of locating pivot nodes and cluster centers.
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From page 128... ...
Cognitively demanding tasks of comparing complex networks back and forth are simplified to tasks of locating pivot points and cluster centers in visualized networks. The divide-and-conquer strategy maximizes the strengths of algorithms and reduces the influence of their weaknesses.
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From page 129... ...
J Newman, University of Michigan The Structure of Scientific Collaboration Networks Elena Erosheva, University of Washington Using Mixed Membership Models for Mapping Knowledge Domains Thomas L
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From page 130... ...
Boyack, Sandia National Laboratories An Indicator-Based Characterization of the Proceedings of the National Academy of Sciences Francis Narin, CHI Research, Inc. From Science Papers to Technology Patents and on to Company Financial Performance
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From page 132... ...
The National Research Council was organized by the National Academy of Sciences in 1916 to associate the broad community of science and technology with the Academy's purposes of furthering knowledge and advising the federal government. Functioning in accordance with general policies determined by the Academy, the Council has become the principal operating agency of both the National Academy of Sciences and the National Academy of Engineering in providing services to the government, the public, and the scientific and engineering communities.
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