LEADER 01755oam 22004934a 450 001 9910956951203321 005 20180428030005.0 010 $a9780822983330 010 $a0822983338 035 $a(CKB)4340000000265826 035 $a(MiAaPQ)EBC5352581 035 $a(OCoLC)1032000990 035 $a(MdBmJHUP)muse66742 035 $a(Perlego)4469509 035 $a(EXLCZ)994340000000265826 100 $a20170426d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Dean of Discipline /$fMichael Waters 210 $aPittsburgh, Pa. $cUniversity of Pittsburgh Press$d[2018] 215 $a1 online resource (79 pages) 225 1 $aPitt poetry series 300 $aPoems. 311 08$a9780822965268 311 08$a0822965267 320 $aIncludes bibliographical references. 330 $aIn the richly musical and boldly imaginative poems of The Dean of Discipline, Michael Waters explores the confluences of the sensual and the spiritual, and renders their mysteries with precision and clarity. The title evokes the rigorous consciousness that prods the artist to deepen into his craft. Line by line, Waters delivers the passionate eloquence and intensity that distinguish his poems. 410 0$aPitt poetry series. 606 $aGay men$xSexual behavior 608 $aPoetry. 608 $aElectronic books. 615 0$aGay men$xSexual behavior. 676 $a306.7662 676 $a811.54 700 $aWaters$b Michael$f1949-$01811784 801 0$bMdBmJHUP 801 1$bMdBmJHUP 906 $aBOOK 912 $a9910956951203321 996 $aThe Dean of Discipline$94363863 997 $aUNINA LEADER 04388nam 22007455 450 001 9910300399103321 005 20200702180400.0 010 $a3-319-06391-X 024 7 $a10.1007/978-3-319-06391-1 035 $a(CKB)3710000000119125 035 $a(EBL)1731123 035 $a(OCoLC)884013962 035 $a(SSID)ssj0001239992 035 $a(PQKBManifestationID)11810200 035 $a(PQKBTitleCode)TC0001239992 035 $a(PQKBWorkID)11205871 035 $a(PQKB)11281435 035 $a(MiAaPQ)EBC1731123 035 $a(DE-He213)978-3-319-06391-1 035 $a(PPN)178785377 035 $a(EXLCZ)993710000000119125 100 $a20140528d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAlgorithms and Dynamical Models for Communities and Reputation in Social Networks /$fby Vincent Traag 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (237 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by the Catholic University of Louvain, Belgium." 311 $a3-319-06390-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Part I Communities in Networks -- Community Detection -- Scale Invariant Community Detection -- Finding Significant Resolutions -- Modularity with Negative Links -- Applications -- Part II Social Balance & Reputation -- Social Balance -- Models of Social Balance -- Evolution of Cooperation -- Ranking Nodes Using Reputation. 330 $aA persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously, and introduces the important notion of resolution-limit-free. Remarkably, only few methods possess this desirable property, and this thesis puts forward one such method. Moreover, it discusses how to asses whether communities can occur by chance or not. One aspect that is often ignored in this field is treated here: links can also be negative, as in war or conflict. Besides how to incorporate this in community detection, it also examines the dynamics of such negative links, inspired by a sociological theory known as social balance. This has intriguing connections to the evolution of cooperation, suggesting that for cooperation to emerge, groups often split in two opposing factions. 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