. ▁ ▁References ▁ ▁External ▁links ▁ 1 9 2 2 ▁ 1 4 2 cc - eng ined ▁model ▁ ▁Category : M ot or cycle ▁manufact ur ers ▁of ▁Germany <0x0A> </s> ▁The ▁Lou v ain ▁method ▁for ▁community ▁detection ▁is ▁a ▁method ▁to ▁extract ▁communities ▁from ▁large ▁networks ▁created ▁by ▁Bl ond el ▁et ▁al . ▁from ▁the ▁University ▁of ▁Lou v ain ▁( aff ili ation ▁of ▁authors ▁has ▁given ▁the ▁method ▁its ▁name ). ▁ ▁The ▁method ▁is ▁a ▁gre edy ▁optimization ▁method ▁that ▁appears ▁to ▁run ▁in ▁time ▁ ▁in ▁the ▁number ▁of ▁nodes ▁in ▁the ▁network . ▁ ▁Mod ular ity ▁optimization ▁The ▁insp iration ▁for ▁this ▁method ▁of ▁community ▁detection ▁is ▁the ▁optimization ▁of ▁mod ular ity ▁as ▁the ▁algorithm ▁progress es . ▁Mod ular ity ▁is ▁a ▁scale ▁value ▁between ▁− 0 . 5 ▁( non - mod ular ▁clust ering ) ▁and ▁ 1 ▁( fully ▁mod ular ▁clust ering ) ▁that ▁measures ▁the ▁relative ▁density ▁of ▁edges ▁inside ▁communities ▁with ▁respect ▁to ▁edges ▁outside ▁communities . ▁Opt im izing ▁this ▁value ▁theoret ically ▁results ▁in ▁the ▁best ▁possible ▁grouping ▁of ▁the ▁nodes ▁of ▁a ▁given ▁network , ▁however ▁going ▁through ▁all ▁possible ▁iterations ▁of ▁the ▁nodes ▁into ▁groups ▁is ▁imp ract ical ▁so ▁he ur istic ▁algorithms ▁are ▁used . ▁ ▁In ▁the ▁Lou v ain ▁Method ▁of ▁community ▁detection , ▁first ▁small ▁communities ▁are ▁found ▁by ▁optim izing ▁mod ular ity ▁locally ▁on ▁all ▁nodes , ▁then ▁each ▁small ▁community ▁is