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Sunbelt XXXI International Network for Social Network ... - INSNA

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<strong>Network</strong>s And Little MagazineEwing, Chatham B.Qualitative and Mixed Method <strong>Network</strong> studiesAcademic <strong>Network</strong>s, Netdraw, <strong>Social</strong> <strong>Network</strong>sSUN.AM1Using the little magazine Perspective as a point of departure, this essay will explore how network diagramming using NetDraw and basic approaches usingnetwork analysis can be used to understand how patterns of association and publication might be used to open up and focus literary analyses interested incoterie, canon, and the creation of literary value.<strong>Network</strong>s Generated By FIFA Soccer Games Played Between CountriesBreznik, Kristijan; Batagelj, VladimirSports, Teams and <strong>Network</strong>s<strong>Network</strong> Analysis, Sports, PajekFRI.PM2Soccer has been the most popular sport in Europe and South America <strong>for</strong> some time. After the World Cup 1994 in the USA soccer gained a lot of supportersalso in this part of America. At the Fifa (world football association) web site data on the results of all games between countries are available on the single gamelevel. From these data some (temporal) networks can be obtained. Additional data about countries (number of registered and unregistered soccer players,number of soccer clubs and officials etc.) are also available. In the paper we will analyze all official matches played between countries, starting with the firstgame in 1872, with the methods of network analysis. We will describe how we dealt with some problems arising during data analysis: disintegrating countriesand the new emerging countries etc. The importance of soccer games played between countries varies considerably, from friendship matches to those athighest level e.g. the World Cup matches. Since August 1993 the results of all games are evaluated every month on the so‐called FIFA/Coca‐cola World Rankinglist. The calculation of points is complicated, nevertheless it has in our opinion some weaknesses that will be discussed. The programs <strong>for</strong> producing networkswere written in R. For analysis of networks we used program Pajek.

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