IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v29y1964i2p153-165.html
   My bibliography  Save this article

Enumeration of paths in digraphs

Author

Listed:
  • K. Parthasarathy

Abstract

No abstract is available for this item.

Suggested Citation

  • K. Parthasarathy, 1964. "Enumeration of paths in digraphs," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 153-165, June.
    • Handle: RePEc:spr:psycho:v:29:y:1964:i:2:p:153-165
    DOI: 10.1007/BF02289697
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02289697
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02289697?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. R. Luce & Albert Perry, 1949. "A method of matrix analysis of group structure," Psychometrika, Springer;The Psychometric Society, vol. 14(2), pages 95-116, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorwin Cartwright & Terry Gleason, 1966. "The number of paths and cycles in a digraph," Psychometrika, Springer;The Psychometric Society, vol. 31(2), pages 179-199, June.
    2. Tony H. Grubesic & Timothy C. Matisziw & Alan T. Murray & Diane Snediker, 2008. "Comparative Approaches for Assessing Network Vulnerability," International Regional Science Review, , vol. 31(1), pages 88-112, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chitra Balasubramaniam & Sergiy Butenko, 2017. "On robust clusters of minimum cardinality in networks," Annals of Operations Research, Springer, vol. 249(1), pages 17-37, February.
    2. Simone Celant, 2013. "Two-mode networks: the measurement of efficiency in the profiles of actors’ participation in the occasions," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3289-3302, October.
    3. Noah E. Friedkin, 1984. "Structural Cohesion and Equivalence Explanations of Social Homogeneity," Sociological Methods & Research, , vol. 12(3), pages 235-261, February.
    4. Le Breton, Michel & Weber, Shlomo, 2009. "Existence of Pure Strategies Nash Equilibria in Social Interaction Games with Dyadic Externalities," CEPR Discussion Papers 7279, C.E.P.R. Discussion Papers.
    5. Gouvêa, Alessandra M.M.M. & Rubido, Nicolás & Macau, Elbert E.N. & Quiles, Marcos G., 2022. "Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection," Applied Mathematics and Computation, Elsevier, vol. 431(C).
    6. Zhu, Yongjun & Yan, Erjia, 2017. "Examining academic ranking and inequality in library and information science through faculty hiring networks," Journal of Informetrics, Elsevier, vol. 11(2), pages 641-654.
    7. Fetta, Angelico & Harper, Paul & Knight, Vincent & Williams, Janet, 2018. "Predicting adolescent social networks to stop smoking in secondary schools," European Journal of Operational Research, Elsevier, vol. 265(1), pages 263-276.
    8. Zhuqi Miao & Balabhaskar Balasundaram & Eduardo L. Pasiliao, 2014. "An exact algorithm for the maximum probabilistic clique problem," Journal of Combinatorial Optimization, Springer, vol. 28(1), pages 105-120, July.
    9. Balabhaskar Balasundaram & Sergiy Butenko & Illya V. Hicks, 2011. "Clique Relaxations in Social Network Analysis: The Maximum k -Plex Problem," Operations Research, INFORMS, vol. 59(1), pages 133-142, February.
    10. Theodore Tsekeris, 2017. "Network analysis of inter-sectoral relationships and key sectors in the Greek economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 413-435, July.
    11. Eric van Diessen & Willemiek J E M Zweiphenning & Floor E Jansen & Cornelis J Stam & Kees P J Braun & Willem M Otte, 2014. "Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.
    12. Santella, Paolo & Drago, Carlo & Polo, Andrea, 2007. "The Italian Chamber of Lords Sits on Listed Company Boards: An Empirical Analysis of Italian Listed Company Boards from 1998 to 2006," MPRA Paper 2265, University Library of Munich, Germany.
    13. Henderson, Geraldine R. & Iacobucci, Dawn & Calder, Bobby J., 1998. "Brand diagnostics: Mapping branding effects using consumer associative networks," European Journal of Operational Research, Elsevier, vol. 111(2), pages 306-327, December.
    14. Etienne Farvaque & Frédéric Gannon, 2018. "Profiling giants: the networks and influence of Buchanan and Tullock," Public Choice, Springer, vol. 175(3), pages 277-302, June.
    15. Belik, Ivan, 2014. "The Analysis of Split Graphs in Social Networks Based on the K-Cardinality Assignment Problem," Discussion Papers 2014/8, Norwegian School of Economics, Department of Business and Management Science.
    16. Verbeke, W.J.M.I. & Wuyts, S.H.K., 2006. "Moving in Social Circles – Social Circle Membership and Performance Implications," ERIM Report Series Research in Management ERS-2006-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Cheah, Isaac & Shimul, Anwar Sadat, 2018. "Consumer ethnocentrism, market mavenism and social network analysis," Australasian marketing journal, Elsevier, vol. 26(3), pages 281-288.
    18. Sokolov, Denis, 2022. "Shapley value for TU-games with multiple memberships and externalities," Mathematical Social Sciences, Elsevier, vol. 119(C), pages 76-90.
    19. Giuliani, Elisa & Pietrobelli, Carlo, 2014. "Social Network Analysis Methodologies for the Evaluation of Cluster Development Programs," Papers in Innovation Studies 2014/11, Lund University, CIRCLE - Centre for Innovation Research.
    20. Oleksandra Yezerska & Sergiy Butenko & Vladimir L. Boginski, 2018. "Detecting robust cliques in graphs subject to uncertain edge failures," Annals of Operations Research, Springer, vol. 262(1), pages 109-132, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:29:y:1964:i:2:p:153-165. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.