{"id":8045,"date":"2021-02-16T18:47:05","date_gmt":"2021-02-16T18:47:05","guid":{"rendered":"https:\/\/tools4seedsystems.org\/?post_type=glossary_item&#038;p=8045"},"modified":"2024-09-16T16:18:03","modified_gmt":"2024-09-16T16:18:03","slug":"modele-de-graphe-aleatoire-exponentiel-ergm","status":"publish","type":"glossary_item","link":"https:\/\/tools4seedsystems.org\/fr\/glossary_item\/modele-de-graphe-aleatoire-exponentiel-ergm\/","title":{"rendered":"MOD\u00c8LE DE GRAPHE AL\u00c9ATOIRE EXPONENTIEL (ERGM)\u00a0"},"content":{"rendered":"<p><span data-contrast=\"none\">\u00ab\u2009&#8230;commun\u00e9ment appel\u00e9 la classe de mod\u00e8les p* (Frank et Strauss, 1986\u2009; Pattison et Wasserman, 1999\u2009; Robins et al., 1999\u2009; Wasserman et Pattison, 1996). Ces mod\u00e8les de probabilit\u00e9 pour les r\u00e9seaux sur un ensemble donn\u00e9 d\u2019acteurs permettent une g\u00e9n\u00e9ralisation au-del\u00e0 de l\u2019hypoth\u00e8se restrictive d\u2019ind\u00e9pendance dyadique de la classe de mod\u00e8les p1 ant\u00e9rieure (Holland et Leinhardt, 1981). En cons\u00e9quence, ils permettent de construire des mod\u00e8les \u00e0 partir d\u2019une interpr\u00e9tation plus r\u00e9aliste des fondements structurels du comportement social.\u2009\u00bb<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335557856&quot;:16777215,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"none\">R\u00e9f\u00e9rences<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335557856&quot;:16777215,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Robins, G., Pattison, P., Kalish, Y., Lusher, D. 2007. <\/span><span data-contrast=\"none\">An introduction to exponential random graph (p*) models for social networks. Social Networks 29(2):173\u2013191.\u202f<\/span><a href=\"https:\/\/www.bebr.ufl.edu\/sites\/default\/files\/An%20introduction%20to%20exponential%20random%20graph%20models.pdf\"><span data-contrast=\"none\">https:\/\/www.bebr.ufl.edu\/sites\/default\/files\/An%20introduction%20to%20exponential%20random%20graph%20models.pdf<\/span><\/a><\/p>\n","protected":false},"featured_media":0,"template":"","char_index":[2216],"glossarycontext":[2196],"class_list":["post-8045","glossary_item","type-glossary_item","status-publish","hentry","char_index-m-fr","glossarycontext-reseaux"],"acf":[],"_links":{"self":[{"href":"https:\/\/tools4seedsystems.org\/fr\/wp-json\/wp\/v2\/glossary_item\/8045","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tools4seedsystems.org\/fr\/wp-json\/wp\/v2\/glossary_item"}],"about":[{"href":"https:\/\/tools4seedsystems.org\/fr\/wp-json\/wp\/v2\/types\/glossary_item"}],"wp:attachment":[{"href":"https:\/\/tools4seedsystems.org\/fr\/wp-json\/wp\/v2\/media?parent=8045"}],"wp:term":[{"taxonomy":"char_index","embeddable":true,"href":"https:\/\/tools4seedsystems.org\/fr\/wp-json\/wp\/v2\/char_index?post=8045"},{"taxonomy":"glossarycontext","embeddable":true,"href":"https:\/\/tools4seedsystems.org\/fr\/wp-json\/wp\/v2\/glossarycontext?post=8045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}