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Chen, C.: Top Ten Problems in Visual Interfaces to Digital Libraries (2002)
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- Date
- 22. 2.2003 17:25:39
22. 2.2003 18:13:11
-
Börner, K.; Chen, C.: Visual Interfaces to Digital Libraries : Motivation, Utilization, and Socio-technical Challenges (2002)
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- Date
- 22. 2.2003 17:25:39
22. 2.2003 18:20:07
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Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006)
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- Date
- 22. 7.2006 16:11:05
-
Liu, S.; Chen, C.: ¬The differences between latent topics in abstracts and citation contexts of citing papers (2013)
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- Date
- 22. 3.2013 19:50:00
-
Chen, C.: Encarta und The Grolier Multimedia Encyclopedia : additional comments from the journal editor (1995)
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- Source
- Microcomputers for information management. 12(1995) no.3, S.215-220
-
Chen, C.; Kuljis, J.: ¬The rising landscape : a visual exploration of superstring revolutions in physics (2003)
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- Date
- 30. 3.2003 12:52:18
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Chen, C.; Ibekwe-SanJuan, F.; Hou, J.: ¬The structure and dynamics of cocitation clusters : a multiple-perspective cocitation analysis (2010)
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- Abstract
- A multiple-perspective cocitation analysis method is introduced for characterizing and interpreting the structure and dynamics of cocitation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Cocitation networks are decomposed into cocitation clusters. The interpretation of these clusters is augmented by automatic cluster labeling and summarization. The method focuses on the interrelations between a cocitation cluster's members and their citers. The generic method is applied to a three-part analysis of the field of information science as defined by 12 journals published between 1996 and 2008: (a) a comparative author cocitation analysis (ACA), (b) a progressive ACA of a time series of cocitation networks, and (c) a progressive document cocitation analysis (DCA). Results show that the multiple-perspective method increases the interpretability and accountability of both ACA and DCA networks.
-
Chen, C.; Czerwinski, M.; Macredie, R.: Individual differences in virtual environments : introduction and overview (2000)
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- Date
- 5. 4.2000 12:29:00
-
Chen, C.: Individual differences in a spatial-semantic virtual environment (2000)
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- Abstract
- This article presents 2 studies concerning the role of individual differences in searching through a spatial-semantic virtual environment. In the first study, 10 subjects searched for 2 topics through a spatial user interface of a semantic space. A strong positive correlation was found between associative memory (MA-1) and search performance (r=0,855, p=0,003) but no significant correlation was found between visual memory (MV-1) and search performance. In the secon study, 12 subjects participated in a within-subject experimental design. The same spatial user interface and a simple textual user interface were used. The effects of spatial ability (VZ-2), associative memory (MA-1), and on-line experience were tested on a set of interrelated search performance scores. A statistically significant main effect of on-line experience was found, F(6,4)=6,213, p=0,049, two-tailed. In particular, on-line experience has a significant effect on the recall scores with the textual interface. Individuals experienced in on-line esearch are more likely to have a higher recall score with the textual interface than less experienced individuals. No significant main effects were found for spatial ability and associative memory. Subjects' comments suggest a potentially complex interplay between individuals' mental models and the high-dimensional semantic model. Qualitative and process-oriented studies are, therefore, called for to reveal the complex interaction between individuals' cognitive abilities, doamin knowledge, and direct manipulation skills. A recommendation is made that spatial-semantic models should be adaptable to suit individuals and tasks at various levels
-
Leydesdorff, L.; Rafols, I.; Chen, C.: Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.12, S.2573-2586
