Sub graph sampling and case citation network: a case study

  • Authors

    • Nidha Khanam CHRIST (Deemed to be Univeristy)
    • Rupali Sunil Wagh CHRIST (Deemed to be Univeristy)
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.11820
  • Legal Sector, Network Analysis, Analytics in Legal Domain, Subgraph Sampling, Case-Citation Network.
  • Graphs or networks very commonly are used to represent connected or linked data. With the penetration of www in every sphere of life networked relationships can be easily established through communication links over web and network and graph analysis come as obvious choices of data representation and analysis. There are processes which can be analysed as network not through web but through the knowledge links available in these domains. In both these cases network analysis is challenged by the enormous size of the network in terms of nodes and links. Sub graph sampling can effectively be employed on large network structures to reduce the size of data while preserving the original properties of the network. Through this paper authors present a case study on application of sub graph sampling approach to obtain reduced case citation network in legal domain.

     

     

  • References

    1. [1] Ana Paula Appel, Luis G. Moyano, “Link and Graph Mining in the Big Data Eraâ€, Springe, 2017. https://doi.org/10.1007/978-3-319-49340-4_17.

      [2] Michele Berlingerio, Michele Coscia, FoscaGiannotti, Anna Monreale, Dino Pedreschi “Multidimensional networks: foundations of structural analysisâ€, Springer, 2011.

      [3] Rohit kumar Kaliyar, “Graph Databasesâ€, ICCCA, 2015.

      [4] Robert Bredereck, Christian Komusiewicz, Stefan Kratsch, HendrikMolter, Rolf Niedermeier and Manuel Sorge, “Assessing the Computational Complexity of Multi-Layer Subgraph Detectionâ€, Springer, 2016.

      [5] Daniel Stutzbach, Reza Rejaie, Nick Duffield, Subhabrata Sen, Walter Willinger, “Sampling Techniques for Large, Dynamic Graphsâ€, IEEE, 2007.

      [6] Rupali Sunil Wagh, “Application of Citation Network Analysis for Improved Similarity Index Estimation on Legal Case Documents: A studyâ€, ICCTAC, 2017.

      [7] Ben Shneiderman, AleksAris, “Network Visualization by Semantic Substratesâ€, IEEE, 2006.

      [8] John Stasko, CarstenGörg, Zhicheng Liu, “Supporting investigative analysis through interactive visualizationâ€, IEEE, 2008.

      [9] MariosKoniaris, LoannisAnagnostopoulos, YannisVassiliou, “Network Analysis in the Legal Domain: A complex model for European Union legal sourcesâ€, Journal of Computer Networks, 2015.

      [10] Dan Steiner, “Data Analytics and Your Law Firm, Law Technology Todayâ€, Law and Innovation Conference, 2016.

      [11] Owen Byrd, Legal, “Analytics vs. Legal Research: What’s the Difference? Law Technology Todayâ€, Law and Innovation Conference, 2017.

      [12] Andrew Stranieri, John Zeleznikow, “Tools for Intelligent Decision Support System Development in the legal domainâ€, IEEE, 2000.

      [13] Karl Branting, “Data-centric and logic-based models for automated legal problem solvingâ€, Springer, 2017.

      [14] Sushanta Kumar, P. Krishna Reddy, V. BalakistaReddy, Malti Suri2, “Finding Similar Legal Judgements Under Common Law Systemâ€, Springer, 2013.

      [15] Pak Chung Wong, Chaomei Chen, CarstenGörg, Ben Shneiderman, John Stasko, Jim Thomas, “Graph Analytics—Lessons Learned and Challenges Aheadâ€, IEEE, 2012.

      [16] AkshayMinocha, Navjyoti Singh, ArjitSrivastava, “Finding relevant Indian judgemegnts using Dispersion of Citation Networkâ€, ACM, 2015.

      [17] GáborHamp, RékaMarkovich, “Automated Reference Extraction in Hungarian Legislative Texts and Visualization of their Inner Link Structuresâ€, Openlaws Open Data Workshop, NAIL, 2015.

      [18] Nidha Khanam, Rupali Sunil Wagh, “Application of Network Analysis for Finding Relatedness among Legal Documents by Using Case Citation Dataâ€, Journal on Information Technology, UGC, 2017.

  • Downloads

  • How to Cite

    Khanam, N., & Sunil Wagh, R. (2018). Sub graph sampling and case citation network: a case study. International Journal of Engineering & Technology, 7(3), 1286-1289. https://doi.org/10.14419/ijet.v7i3.11820