36
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Andrzej Pekalski networks of scientific interests with internal degrees of freedom through self-citation analysis

      Preprint
      , , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Old and recent theoretical works by Andrzej Pekalski (APE) are recalled as possible sources of interest for describing network formation and clustering in complex (scientific) communities, through self-organisation and percolation processes. Emphasis is placed on APE self-citation network over four decades. The method is that used for detecting scientists field mobility by focusing on author's self-citation, co-authorships and article topics networks as in [1,2]. It is shown that APE's self-citation patterns reveal important information on APE interest for research topics over time as well as APE engagement on different scientific topics and in different networks of collaboration. Its interesting complexity results from "degrees of freedom" and external fields leading to so called internal shock resistance. It is found that APE network of scientific interests belongs to independent clusters and occurs through rare or drastic events as in irreversible "preferential attachment processes", similar to those found in usual mechanics and thermodynamics phase transitions.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The structure of scientific collaboration networks

          (2009)
          We investigate the structure of scientific collaboration networks. We consider two scientists to be connected if they have authored a paper together, and construct explicit networks of such connections using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). We show that these collaboration networks form "small worlds" in which randomly chosen pairs of scientists are typically separated by only a short path of intermediate acquaintances. We further give results for mean and distribution of numbers of collaborators of authors, demonstrate the presence of clustering in the networks, and highlight a number of apparent differences in the patterns of collaboration between the fields studied.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Problems of citation analysis: A critical review

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Does self-citation pay?

                Bookmark

                Author and article information

                Journal
                09 October 2007
                Article
                10.1142/S0129183108012224
                0710.1800
                03cf3633-7794-4d7e-bc31-ba45985b2028
                History
                Custom metadata
                Int. J. Mod. Phys. C 19 (2008) 371-384
                7 pages, 1 table, 44 references, submitted to Int J Mod Phys C
                physics.soc-ph physics.hist-ph

                Comments

                Comment on this article