CociteSeer: a system to visualize large cocitation networks

摘要

Purpose - The paper's aim is to document the development of a novel tool to address therninadequacies of existing cocitation visualization tools.rnDesign/methodology/approach - The paper demonstrates the visualized effects of this tool andrnsupplements the results with a case study that utilizes a large data set to explore the cross-field studiesrnamong different computer science fields.rnFindings - The tool displays cocitation graphs with latent visual cues and allows directrnmanipulation of the visualized graphs. The tool also facilitates the exploration of the relationshipsrnbetween articles in the graphs.rnResearch limitations/implications - The indirect cocitation relationships are vividly visualizedrnby the citation network itself. The context lost by the conventional cocitation network may bernpreserved. Instead of being linked by explicit lines, the implicit cocitation relationships are shown byrnthe closeness among the cocited nodes.rnPractical implications - The preserved context of a cocitation network may facilitate thernexploration of latent cross-field studies. The cocitation visualization tool demonstrates that the contextrnof the cocitation graph is preserved by using the citation network itself to reveal cocitationrnrelationships.rnOriginality/value - The cocitation relationships are implied by the closeness among cocited nodesrnin a citation graph. The paper documents this novel approach which has not been seen before.