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Optimizing Research Progress Trajectories with Semantic Power Graphs

  • G. S. Mahalakshmi
  • S. Sendhilkumar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

Any researcher who is taking up a new research work must explore the works done in the past. For this we propose an idea to track the possible work progresses of a particular research article through semantic based approaches. In addition we analyze the co-citations and cross-citations among research works to avoid leaving out any significant works of the past. Finally we attempt to represent the citation networks and related meta-info using power graphs. This technique reduces the overhead of huge dimensions of citation networks thereby providing optimized trajectory representations which leads to finding significant research progress trajectories.

Keywords

citation co-citation trajectory semantics H-index power graph main path key-route path backward ideal path 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • G. S. Mahalakshmi
    • 1
  • S. Sendhilkumar
    • 2
  1. 1.Department of Computer Science and EngineeringAnna UniversityIndia
  2. 2.Department of Information Science and TechnologyAnna UniversityIndia

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