. do example.do

. * nwcommands tutorial 17: networks over time
. * Requires the core nwcommands.
. nwwebuse glasgow, nwclear

. 
. * 1. Three waves of the same friendship network
. nwsummarize glasgow1
--------------------------------------------------
   Network name:  glasgow1
   Network id:  1
   Directed: true
   Valued: false
   Two-mode: false
   Nodes: 50
   Selfloop: false
   Arcs: 113
   Minimum value:  0
   Maximum value:  1
   Density:  .0461
   Temporal: false

. nwsummarize glasgow2
--------------------------------------------------
   Network name:  glasgow2
   Network id:  2
   Directed: true
   Valued: false
   Two-mode: false
   Nodes: 50
   Selfloop: false
   Arcs: 116
   Minimum value:  0
   Maximum value:  1
   Density:  .0473
   Temporal: false

. nwsummarize glasgow3
--------------------------------------------------
   Network name:  glasgow3
   Network id:  3
   Directed: true
   Valued: false
   Two-mode: false
   Nodes: 50
   Selfloop: false
   Arcs: 122
   Minimum value:  0
   Maximum value:  1
   Density:  .0498
   Temporal: false

. 
. * 2. How much did the ties change between waves?
. nwturnover glasgow1 glasgow2, generate(stab12)
----------------------------------------
  Networks: glasgow1 -> glasgow2
  Stable: 57  Formed: 59  Dissolved: 56
  Jaccard index: .331
  Persistence: .504
 

. return list

scalars:
        r(persistence) =  .504424778761062
            r(jaccard) =  .3313953488372093
          r(dissolved) =  56
             r(formed) =  59
             r(stable) =  57

. nwturnover glasgow2 glasgow3, generate(stab23)
----------------------------------------
  Networks: glasgow2 -> glasgow3
  Stable: 66  Formed: 56  Dissolved: 50
  Jaccard index: .384
  Persistence: .569
 

. summarize stab12 stab23

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      stab12 |         48    .3944444    .3421413          0          1
      stab23 |         48    .3881944    .3075288          0          1

. 
. * 3. Is the change in the same direction as the correlation?
. nwcorrelate glasgow1 glasgow2
----------------------------------------
  Network1 name: glasgow1
  Network2 name: glasgow2
----------------------------------------
    Correlation: .473

. nwcorrelate glasgow2 glasgow3
----------------------------------------
  Network1 name: glasgow2
  Network2 name: glasgow3
----------------------------------------
    Correlation: .532

. 
. * 4. A temporal edge list: one network, tie times as data
. clear

. input ego alter wave

           ego      alter       wave
  1. 1 2 1
  2. 2 3 1
  3. 1 3 2
  4. 2 3 2
  5. 3 4 3
  6. end

. nwset ego alter, time(wave) name(mynet)

. nwattime mynet, at(1) name(t1)
----------------------------------------
  Static graph view: t1
  Source network: mynet (snapshot)
  At: 1
  Ties: 1

. nwattime mynet, at(2) name(t2)
----------------------------------------
  Static graph view: t2
  Source network: mynet (snapshot)
  At: 2
  Ties: 2

. nwsummarize t2
--------------------------------------------------
   Network name:  t2
   Network id:  6
   Directed: true
   Valued: false
   Two-mode: false
   Nodes: 4
   Selfloop: false
   Arcs: 2
   Minimum value:  0
   Maximum value:  1
   Density:  .167
   Temporal: false
   Provenance:  static graph view of mynet at t=2 (snapshot)

. nwattime mynet, at(3) name(t3)
----------------------------------------
  Static graph view: t3
  Source network: mynet (snapshot)
  At: 3
  Ties: 1

. nwturnover t1 t2, generate(stab_t12)
----------------------------------------
  Networks: t1 -> t2
  Stable: 0  Formed: 2  Dissolved: 1
  Jaccard index: 0
  Persistence: 0
 

.