Vladimir Batagelj Is 70

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Vladimir Batagelj is 70 Vladimir Batagelj, known as Vlado to his friends, is one of the most prolific Slov- enian scientists. Although he has a PhD in mathematics and has worked most of his active life at the Department of Mathemat- ics of the University of Ljubljana where he is now Professor Emeritus, he has very broad research interests and a passion for teaching. Over ten years before obtain- ing his PhD, Vlado published a solo paper on quadratic hash method in the dis- tinguished journal Communications of the ACM. When I was a graduate student of computer science at Penn State, one of our textbooks cited his paper. I was very proud to tell my fellow graduate students that Vlado and I attended the same courses as undergraduates. Actually, during compul- sory military service we shared a room in barracks in Zagreb for a year. Vlado’s scientific work has been cited over 11000 times in Google Scholar; over Vladimir Batagelj 5400 times since 2013. His most cited work, with over 3300 citations, is his book Exploratory Social Network Analysis with Pajek, writ- ten together with W. de Nooy and A. Mrvar. The book was also translated into Chinese and Japanese. The revised and expanded 3rd edition of this successful textbook was published by Cambridge University Press this year. Pajek is a highly successful, freely available soft- ware package for large networks analysis, authored by Vlado and his former PhD student Andrej Mrvar and used widely in social sciences. Vlado is one of the pioneers of discrete mathematics and theoretical computer science in Slovenia, who chartered his aca- demic course on his own and works on problems that he finds interesting. Nev- ertheless, he understands the vital need for a nation of 2M to receive fresh knowledge in its own language. Vlado is the author of over 20 textbooks in Slovenian, covering a wide range of topics, from TEX to Combi- Exploratory Social Network natorics and Discrete Mathematics. Analysis with Pajek, 3rd Edition Vlado, I wish you a very happy birthday and many more productive years! Tomo (Tomazˇ Pisanski).

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Qt9tb2z9ps.Pdf
UC Irvine UC Irvine Previously Published Works Title Anthropology: Analyzing large kinship and marriage networks with Pgraph and Pajek Permalink https://escholarship.org/uc/item/9tb2z9ps Journal Social Science Computer Review, 17(3) ISSN 0894-4393 Authors White, DR Batagelj, V Mrvar, A Publication Date 1999 DOI 10.1177/089443939901700302 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California SOCIAL SCIENCE COMPUTER REVIEW White et al. / KINSHIP AND MARRIAGE NETWORKS Anthropology Analyzing Large Kinship and Marriage Networks With Pgraph and Pajek DOUGLAS R. WHITE University of California, Irvine VLADIMIR BATAGELJ ANDREJ MRVAR University of Ljubljana, Slovenia Five key problems of kinship networks are boundedness, cohesion, size and cohesive relinking, types of relations and relinking, and groups or roles. Approaches to solving these problems include formats available for electronic storage of genealogical data and representations of genealogies using graphs. P-graphs represent couples and uncoupled children as vertices, whereas parent-child links are the arcs connecting nodes both within and between different nuclear families. Using results from graph theory, P-graphs are shown to lend themselves to solutions of the problems discussed. Relinking of families through marriage, for example, can be formally defined as sets of bounded groups that are the cohesive cores of kinship networks, with nodes at various distances from such cores. The structure of such cores yields an analytic decomposition of kinship networks and constituent group and role relationships. The Pgraph and Pajek programs for large network analysis help both to represent kinship networks and their patterns and to solve problems of analysis.
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