starting worker pid=38510 on localhost:11624 at 17:44:12.972
starting worker pid=38524 on localhost:11624 at 17:44:13.130
starting worker pid=38538 on localhost:11624 at 17:44:13.289
starting worker pid=38552 on localhost:11624 at 17:44:13.447
starting worker pid=38566 on localhost:11624 at 17:44:13.603
starting worker pid=38580 on localhost:11624 at 17:44:13.761
starting worker pid=38594 on localhost:11624 at 17:44:13.920
Loading required package: ergm
Loading required package: ergm
Loading required package: ergm
Loading required package: ergm
Loading required package: ergm
Loading required package: ergm
Loading required package: ergm
Loading required package: network
Loading required package: network
Loading required package: network
Loading required package: network
Loading required package: network
Loading required package: network
Loading required package: network
network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.


ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.

Loading required package: ggplot2

ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.

Loading required package: ggplot2

ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.


ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.

Loading required package: ggplot2
Loading required package: ggplot2

ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.


ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

Loading required package: ggplot2
NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.


ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.

Loading required package: ggplot2
Loading required package: ggplot2
Loading required package: igraph
Loading required package: igraph
Loading required package: igraph
Loading required package: igraph
Loading required package: igraph
Loading required package: igraph

Attaching package: ‘igraph’

The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union

Loading required package: MASS
Loading required package: igraph

Attaching package: ‘igraph’

Loading required package: RDS
The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union

Loading required package: MASS
Loading required package: RDS

Attaching package: ‘igraph’

The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union

Loading required package: MASS

Attaching package: ‘igraph’

The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union


Attaching package: ‘igraph’

Loading required package: MASS
The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute


Attaching package: ‘igraph’

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union

The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union

Loading required package: MASS
Loading required package: MASS
Loading required package: RDS

Attaching package: ‘igraph’

The following objects are masked from ‘package:network’:

    %c%, %s%, add.edges, add.vertices, delete.edges, delete.vertices,
    get.edge.attribute, get.edges, get.vertex.attribute, is.bipartite,
    is.directed, list.edge.attributes, list.vertex.attributes,
    set.edge.attribute, set.vertex.attribute

The following objects are masked from ‘package:stats’:

    decompose, spectrum

Loading required package: RDS
The following object is masked from ‘package:base’:

    union

Loading required package: MASS
Loading required package: RDS
Loading required package: RDS
Loading required package: RDS
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Registered S3 method overwritten by 'Hmisc':
  method          from
  summary.formula ergm
Loading required package: sna
Loading required package: statnet.common

Attaching package: ‘statnet.common’

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

The following object is masked from ‘package:base’:

    order

Loading required package: sna
Loading required package: statnet.common

Attaching package: ‘statnet.common’

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.

The following object is masked from ‘package:base’:

    order

Loading required package: sna
Loading required package: sna
Loading required package: sna
Loading required package: statnet.common
Loading required package: statnet.common
Loading required package: sna
Loading required package: statnet.common

Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

Loading required package: statnet.common
Loading required package: truncnorm

Attaching package: ‘statnet.common’


Attaching package: ‘statnet.common’

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

The following object is masked from ‘package:base’:

    order

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

The following object is masked from ‘package:base’:

    order


Attaching package: ‘statnet.common’

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

The following object is masked from ‘package:base’:

    order


Attaching package: ‘statnet.common’

sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

The following object is masked from ‘package:base’:

    order

Loading required package: sna
Loading required package: statnet.common

Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

Loading required package: truncnorm
sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.

sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.

sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.


Attaching package: ‘statnet.common’

The following objects are masked from ‘package:RDS’:

    set.control.class, ult

The following object is masked from ‘package:base’:

    order

sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.


Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

[1] "WARNING: perfect recruitment would exhaust population"

Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

Loading required package: truncnorm
Loading required package: truncnorm

Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

Loading required package: truncnorm

Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

Loading required package: truncnorm
sna: Tools for Social Network Analysis
Version 2.6 created on 2020-10-5.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.

[1] "WARNING: perfect recruitment would exhaust population"

Attaching package: ‘sna’

The following objects are masked from ‘package:igraph’:

    betweenness, bonpow, closeness, components, degree, dyad.census,
    evcent, hierarchy, is.connected, neighborhood, triad.census

Loading required package: truncnorm
[1] "WARNING: perfect recruitment would exhaust population"
[1] "WARNING: perfect recruitment would exhaust population"
[1] "WARNING: perfect recruitment would exhaust population"
[1] "WARNING: perfect recruitment would exhaust population"
[1] "WARNING: perfect recruitment would exhaust population"
..finished set up
Iteration 1: wave 1....finished set up
Iteration 1: wave 1....finished set up
Iteration 1: wave 1....finished set up
Iteration 1: wave 1....finished set up
Iteration 1: wave 1....finished set up
Iteration 1: wave 1..2..2..2..2....finished set up
Iteration 1: wave 1..2..2..2..3..3..3..3..3..3..3..4..4..4..4..4..4..4..5..5..5..5..5..5..5..
Iteration 2: wave 1..2..
Iteration 2: wave 1..3..
Iteration 2: wave 1..2..2..3..
Iteration 2: wave 1..3..2..4..
Iteration 2: wave 1..3..2..4..
Iteration 2: wave 1..4..2..3..
Iteration 2: wave 1..3..2..4..5..4..3..4..5..5..4..5..5..5..
Iteration 3: wave 1..2..5..3..
Iteration 3: wave 1..2..4..3..
Iteration 3: wave 1..2..3..4..
Iteration 3: wave 1..
Iteration 3: wave 1..2..2..4..5..3..3..
Iteration 3: wave 1..2..4..4..5..3..5..
Iteration 3: wave 1..2..4..3..5..5..
Iteration 4: wave 1..4..2..3..Reject!
4..
Iteration 4: wave 1..2..4..3..
Iteration 4: wave 1..2..5..4..3..5..5..4..
Iteration 4: wave 1..
Iteration 4: wave 1..2..2..3..5..3..4..4..5..
Iteration 4: wave 1..2..
Iteration 5: wave 1..2..3..5..3..
Iteration 4: wave 1..5..2..4..3..4..
Iteration 5: wave 1..2..3..4..
Iteration 5: wave 1..2..5..4..3..Reject!
4..4..
Iteration 5: wave 1..5..2..5..3..
Iteration 5: wave 1..2..3..4..5..5..4..5..
Iteration 5: wave 1..5..2..3..4..
Iteration 5: wave 1..2..3..4..5..5..