f_m1 <- glm(CON_DENSITY_ADR ~ spr1 + nintot + QF003,family=binomial(link="logit"), data=selected1) 
f_m2 <- glm(CON_DENSITY_ADR ~ spr1 + nintot + QF003 +compo + AGE +QE008_ISCED_5catrec +type_hhrec + QE011rec+ QE014_DICrec ,family=binomial(link="logit"), data=selected2) 
f_m3 <- glm(CON_EGO_BTW_CENTRALITYDR ~ spr1 + nintot + QF003,family=binomial(link="logit"), data=selected3) 
f_m4 <- glm(CON_EGO_BTW_CENTRALITYDR ~ spr1 + nintot + QF003 +compo + AGE +QE008_ISCED_5catrec +type_hhrec + QE011rec+ QE014_DICrec ,family=binomial(link="logit"), data=selected4) 
f_m5 <- glm(EMO_DENSITY_ADR ~ spr1 + nintot + QF003,family=binomial(link="logit"), data=selected5) 
f_m6 <- glm(EMO_DENSITY_ADR ~ spr1 + nintot + QF003 +compo + AGE +QE008_ISCED_5catrec +type_hhrec + QE011rec+ QE014_DICrec ,family=binomial(link="logit"), data=selected6) 
f_m7 <- glm(EMO_EGO_BTW_CENTRALITYDR ~ spr1 + nintot + QF003,family=binomial(link="logit"), data=selected7) 
f_m8 <- glm(EMO_EGO_BTW_CENTRALITYDR ~ spr1 + nintot + QF003 +compo + AGE +QE008_ISCED_5catrec +type_hhrec + QE011rec+ QE014_DICrec ,family=binomial(link="logit"), data=selected8) 
f_m9 <- glm( ANO_DENSITY_ADR~ spr1 + nintot + QF003,family=binomial(link="logit"), data=selected9) 
f_m10 <- glm(ANO_DENSITY_ADR~ spr1 + nintot + QF003 +compo + AGE +QE008_ISCED_5catrec +type_hhrec + QE011rec+ QE014_DICrec ,family=binomial(link="logit"), data=selected10) 
f_m11 <- glm( ANO_EGO_BTW_CENTRALITYDR~ spr1 + nintot + QF003,family=binomial(link="logit"), data=selected11) 
f_m12 <- glm(ANO_EGO_BTW_CENTRALITYDR ~ spr1  + nintot + QF003 +compo + AGE +QE008_ISCED_5catrec +type_hhrec + QE011rec+ QE014_DICrec ,family=binomial(link="logit"), data=selected12) 
htmlreg(list("Contacts density"=f_m1, "Contacts density sds"=f_m2, "Contacts centrality"=f_m3,"Contacts centrality sds"=f_m4, "Emo density"=f_m5, "Emo density sds"=f_m6, "Emo centrality"=f_m7, "Emo centrality sds"=f_m8, "Conflicts density"=f_m9, "Conflicts density sds"=f_m10, "Conflicts centrality"=f_m11, "Conflicts centrality sds"=f_m12))
Statistical models
  Contacts density Contacts density sds Contacts centrality Contacts centrality sds Emo density Emo density sds Emo centrality Emo centrality sds Conflicts density Conflicts density sds Conflicts centrality Conflicts centrality sds
(Intercept) 0.08*** 0.75*** -0.08*** -0.79*** 0.12*** 0.32** 0.07*** 0.15 -0.27*** -0.07 -1.27*** -1.17***
  (0.02) (0.11) (0.02) (0.11) (0.02) (0.11) (0.02) (0.11) (0.02) (0.11) (0.02) (0.13)
spr1form_gym -0.03 0.03 -0.00 -0.04 -0.09*** -0.04 0.39*** 0.29*** 0.26*** 0.22*** 0.22*** 0.18***
  (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.02) (0.02)
spr1stage_travail -0.10*** -0.10** 0.08** 0.08* -0.09** -0.09** -0.10*** -0.08** 0.14*** 0.14*** 0.20*** 0.21***
  (0.03) (0.03) (0.03) (0.03) (0.03) (0.03) (0.03) (0.03) (0.03) (0.03) (0.03) (0.04)
spr1sans_form_emp -0.12** -0.14** 0.08* 0.07 -0.17*** -0.17*** -0.11** -0.11** 0.17*** 0.13** 0.20*** 0.18***
  (0.04) (0.04) (0.04) (0.04) (0.04) (0.04) (0.04) (0.04) (0.04) (0.04) (0.04) (0.05)
spr1autre -0.11*** -0.13*** 0.11*** 0.12** -0.13*** -0.10** -0.16*** -0.14*** -0.03 -0.03 -0.02 -0.02
  (0.03) (0.04) (0.03) (0.04) (0.03) (0.04) (0.03) (0.03) (0.03) (0.03) (0.04) (0.04)
nintot -0.02 -0.00 -0.01 -0.03* -0.05*** -0.05*** -0.08*** -0.07*** 0.09*** 0.07*** 0.05*** 0.05**
  (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01)
QF003 -0.03** -0.03** 0.01 0.01 -0.03** -0.03** -0.11*** -0.09*** 0.08*** 0.05*** 0.05*** 0.06***
  (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.01)
compofaible   -0.31***   0.18***   -0.10***   0.11***   -0.19***   -0.17***
    (0.03)   (0.03)   (0.03)   (0.02)   (0.02)   (0.03)
compoprofessionnel   -2.07***   1.67***   -1.80***   0.06*   -0.22***   0.52***
    (0.03)   (0.03)   (0.03)   (0.03)   (0.03)   (0.03)
compoamis   -1.46***   1.07***   -1.41***   0.82***   -0.37***   0.46***
    (0.02)   (0.02)   (0.02)   (0.02)   (0.02)   (0.03)
comporelatives   -1.03***   0.75***   -0.88***   -0.05   -0.30***   0.31***
    (0.03)   (0.03)   (0.03)   (0.03)   (0.03)   (0.03)
AGE   -0.01   0.02***   0.03***   -0.01*   -0.00   -0.02***
    (0.01)   (0.01)   (0.01)   (0.01)   (0.01)   (0.01)
QE008_ISCED_5catrecsecondary_prof   0.11***   -0.14***   0.04*   -0.07***   -0.09***   -0.06**
    (0.02)   (0.02)   (0.02)   (0.02)   (0.02)   (0.02)
QE008_ISCED_5catrecsecondary_gymnase   0.11**   -0.15***   -0.02   0.07*   -0.03   -0.16***
    (0.03)   (0.03)   (0.03)   (0.03)   (0.03)   (0.04)
QE008_ISCED_5catrectertiary education   -0.01   -0.06   -0.01   -0.05   0.01   -0.15*
    (0.05)   (0.05)   (0.05)   (0.05)   (0.05)   (0.06)
QE008_ISCED_5catrecother   0.04   -0.06   -0.06   -0.23***   -0.12*   -0.05
    (0.06)   (0.06)   (0.06)   (0.05)   (0.05)   (0.06)
type_hhrecOne-parent   -0.33***   0.27***   -0.32***   0.15***   0.23***   0.17***
    (0.02)   (0.02)   (0.02)   (0.02)   (0.02)   (0.02)
type_hhrecAlone   -0.51***   0.43***   -0.42***   0.06   0.09   0.02
    (0.05)   (0.05)   (0.05)   (0.05)   (0.05)   (0.06)
type_hhrecOther   -0.27***   0.21***   -0.32***   -0.17***   0.03   -0.03
    (0.04)   (0.04)   (0.04)   (0.03)   (0.03)   (0.04)
QE011recmodeste   -0.03   -0.01   -0.09***   -0.01   0.44***   0.37***
    (0.02)   (0.02)   (0.02)   (0.02)   (0.02)   (0.02)
QE014_DICrecoui_couple   0.56***   -0.59***   0.08***   0.00   -0.00   0.18***
    (0.02)   (0.02)   (0.02)   (0.02)   (0.02)   (0.02)
AIC 88222.86 75152.70 88211.33 77840.13 88176.01 77120.61 87401.19 81948.78 87838.91 82962.79 71355.78 67088.28
BIC 88286.29 75342.04 88274.76 78029.47 88239.44 77309.95 87464.62 82138.12 87902.34 83152.13 71419.21 67277.62
Log Likelihood -44104.43 -37555.35 -44098.66 -38899.06 -44081.01 -38539.31 -43693.60 -40953.39 -43912.46 -41460.39 -35670.89 -33523.14
Deviance 88208.86 75110.70 88197.33 77798.13 88162.01 77078.61 87387.19 81906.78 87824.91 82920.79 71341.78 67046.28
Num. obs. 63668 60857 63668 60857 63668 60857 63668 60857 63668 60857 63668 60857
***p < 0.001; **p < 0.01; *p < 0.05

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