Name of file to be analysed.This must be a multirealtional dataset in which the first level will be time T1 and the second level will be time T2. Data type: Multirelational Digraph.

T1Size: number of alters at time T1

T1Opps: number of pairs of alters

T1Brok: number of brokerage ties that is number of edges between alters

T1Pct: T1Brok divided by T1Opps as a percentage

These are then calculated and reported at time T2

The last four columns of the first table give the differences by taking the scores at T1 and subtracting off the scores at T2.

The second table gives the following:

OppsKept: number of pairs of alters present at time T1 and T2

OppsLost: number of pairs of alters present at T1 but absent at T2

OppsGain: number of pairs of alters absent at T1 but present at T2

OppsNeve: number of pairs of alters not present at time T1 nor T2

BrokKept number of alter alter ties present at time T1 and T2

BrokLost number of alter alter ties present at T1 but absent at T2

BrokGain number of alter alter ties absent at T1 but present at T2

BrokNeve number of alter alter ties absent at T1 and T2

The last 4 columns give each of the Kept, Lost, Gained and Never as a percentage by taking the Brok score and dividing this by the corresponding Opps score and multiplying by 100.