topic Re: Social network data in SAS Enterprise Guide

Social network data

juliehn — Mon, 14 May 2018 11:20:49 GMT

Hi all.

I am struggling with structuring my data set in the correct form.

I have a dataset of persons and where they meet (see example "Dataset; People"). Instead of that structure I want a structure where colunm 1 is person1, column 2 is the meeting point and column 3 is the persons person 1 meets. So some people meet more people and different people.

Dataset; People
Meeting point	Person
Adress 1	A
Adress 1	B
Adress 2	A
Adress 2	B
Adress 2	C
Adress 3	B
Adress 3	C

So far I use the code following code:

data people1;

set people1;

run;

data people2;

set people2;

run;

Where the datasets people1 and people2 are exactly the same except the name of column 2:

Dataset; People1	Dataset; People2
Meeting point	Person1	Meeting point	Person2
Adress 1	A	Adress 1	A
Adress 1	B	Adress 1	B
Adress 2	A	Adress 2	A
Adress 2	B	Adress 2	B
Adress 2	C	Adress 2	C
Adress 3	B	Adress 3	B
Adress 3	C	Adress 3	C

To create one dataset I use the code:

proc sql;

create table dataset as

select a.meeting_point, a. person1, b.person2

from people1 as a

left join people2 as b

on a.meeting_point=b.meeting_point and a.person1 ne b.person2

where b.person2 ne "";

quit;

The problem with using that code is that the persons in column1 is distinct but not the pairs of people. I get the following:


Meeting point	Person1	Person2
Adress 1	A	B
Adress 1	A	C
Adress 1	A	D
Adress 1	A	E
Adress 1	B	A
Adress 1	B	C
Adress 1	B	D
Adress 1	B	E
Adress 1	C	A
Adress 1	C	B
Adress 1	C	D
Adress 1	C	E
Adress 1	D	A
Adress 1	D	B
Adress 1	D	C
Adress 1	D	E
Adress 1	E	A
Adress 1	E	B
Adress 1	E	C
Adress 1	E	D

The ones marked with red and dublet pairs and I only need distinct pairs.

Hope someone has a solution.

Thank you!

Re: Social network data

Kurt_Bremser — Mon, 14 May 2018 12:03:55 GMT

Your examples make no sense. There are no persons D and E in your initial dataset, and person C was never at address 1.

Re: Social network data

juliehn — Mon, 14 May 2018 12:09:01 GMT

You are absolutely right. The dataset is just at small selection/example of the real data set which is extremely large. The important part is the structures and the hurdle is to delete dublicate pairs (i.e A-B is the same as B-A).

Re: Social network data

Kurt_Bremser — Mon, 14 May 2018 12:17:49 GMT

Then I suggest a small change to your SQL:

data people;
input meeting_point $ person $;
cards;
ad1 a
ad1 b
ad2 a
ad2 b
ad2 c
ad3 b
ad3 c
;
run;

proc sql;
create table dataset as
select a.meeting_point, a.person as person1, b.person as person2
from people as a
left join people as b
on a.meeting_point = b.meeting_point and a.person < b.person
where b.person ne '';
quit;