Refinery: Visual Exploration of Large, Heterogeneous Networks through Associative Browsing
Browsing is a fundamental aspect of exploratory information‐seeking. Associative browsing represents a common and intuitive set of exploratory strategies in which users step iteratively from familiar to novel bits of information. In this paper, we examine associative browsing as a strategy for botto...
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| Published in | Computer graphics forum Vol. 34; no. 3; pp. 301 - 310 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Blackwell Publishing Ltd
01.06.2015
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Browsing is a fundamental aspect of exploratory information‐seeking. Associative browsing represents a common and intuitive set of exploratory strategies in which users step iteratively from familiar to novel bits of information. In this paper, we examine associative browsing as a strategy for bottom‐up exploration of large, heterogeneous networks. We present Refinery, an interactive visualization system informed by guidelines for associative browsing drawn from literature on exploratory information‐seeking. These guidelines motivate Refinery's query model, which allows users to simply and expressively construct queries using heterogeneous sets of nodes. This system computes degree‐of‐interest scores for associated content using a fast, random‐walk algorithm. Refinery visualizes query nodes within a subgraph of results, providing explanatory context, facilitating serendipitous discovery, and stimulating continued exploration. A study of 12 academic researchers using Refinery to browse publication data demonstrates how the system enables discovery of valuable new content, even within existing areas of expertise. |
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| AbstractList | Browsing is a fundamental aspect of exploratory information‐seeking.
Associative browsing
represents a common and intuitive set of exploratory strategies in which users step iteratively from familiar to novel bits of information. In this paper, we examine associative browsing as a strategy for bottom‐up exploration of large, heterogeneous networks. We present Refinery, an interactive visualization system informed by guidelines for associative browsing drawn from literature on exploratory information‐seeking. These guidelines motivate Refinery's query model, which allows users to simply and expressively construct queries using heterogeneous sets of nodes. This system computes degree‐of‐interest scores for associated content using a fast, random‐walk algorithm. Refinery visualizes query nodes within a subgraph of results, providing explanatory context, facilitating serendipitous discovery, and stimulating continued exploration. A study of 12 academic researchers using Refinery to browse publication data demonstrates how the system enables discovery of valuable new content, even within existing areas of expertise. Browsing is a fundamental aspect of exploratory information-seeking. Associative browsing represents a common and intuitive set of exploratory strategies in which users step iteratively from familiar to novel bits of information. In this paper, we examine associative browsing as a strategy for bottom-up exploration of large, heterogeneous networks. We present Refinery, an interactive visualization system informed by guidelines for associative browsing drawn from literature on exploratory information-seeking. These guidelines motivate Refinery's query model, which allows users to simply and expressively construct queries using heterogeneous sets of nodes. This system computes degree-of-interest scores for associated content using a fast, random-walk algorithm. Refinery visualizes query nodes within a subgraph of results, providing explanatory context, facilitating serendipitous discovery, and stimulating continued exploration. A study of 12 academic researchers using Refinery to browse publication data demonstrates how the system enables discovery of valuable new content, even within existing areas of expertise. |
| Author | Fernandez, R. Kairam, S. Heer, J. Riche, N. H. Drucker, S. |
| Author_xml | – sequence: 1 givenname: S. surname: Kairam fullname: Kairam, S. organization: Computer Science Department, Stanford University – sequence: 2 givenname: N. H. surname: Riche fullname: Riche, N. H. organization: Microsoft Research – sequence: 3 givenname: S. surname: Drucker fullname: Drucker, S. organization: Microsoft Research – sequence: 4 givenname: R. surname: Fernandez fullname: Fernandez, R. organization: Microsoft Research – sequence: 5 givenname: J. surname: Heer fullname: Heer, J. organization: Computer Science & Engineering, University of Washington |
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| Copyright | 2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2015 The Eurographics Association and John Wiley & Sons Ltd. |
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| Snippet | Browsing is a fundamental aspect of exploratory information‐seeking. Associative browsing represents a common and intuitive set of exploratory strategies in... Browsing is a fundamental aspect of exploratory information‐seeking. Associative browsing represents a common and intuitive set of exploratory strategies in... Browsing is a fundamental aspect of exploratory information-seeking. Associative browsing represents a common and intuitive set of exploratory strategies in... |
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| SubjectTerms | Analysis Associative Browsing Categories and Subject Descriptors (according to ACM CCS) Computer graphics Exploration Guidelines H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval H.5.2 [Information Interfaces and Presentation]: User Interfaces Information management Networks Query processing Refineries Strategy Studies Visualization |
| Title | Refinery: Visual Exploration of Large, Heterogeneous Networks through Associative Browsing |
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