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LR-QAP Relational effect
HI,
?
Maybe I'm looking wrong, I'm not finding the help file for LR-QAP in general. Ok, you test one way or another and in the end, you can understand the best use of the resource. However, the relational effects are not easy to interpret without a help file. Somewhere in this forum, I found:
?
? Reciprocity effect
– If j likes i at T2, then predict that i will like j at T3 ? So create matrix X1 in which X1(i,j) = 1 if T2(j,i) = 1 ? Transitivity effect (closure)
– If, at T2, i likes j and j likes k, then predict that at T3 i will like k. ? Create matrix X2 where X2(i,j) = 1 if (T2(i,j) =1 and T2(j,k) = 1)* ? Preferential attachment effect
– If T2 indegree is high, predict that all nodes will want to have a tie – X3(I,j) = indegree(j) ?
Can anyone enlighten me if the logic of the resource is as described above?
?
tnx,
?
p
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开云体育You have it exactly right. What would like more information about? ? From: [email protected] <[email protected]> On Behalf Of Paulo Matui via groups.io
Sent: Thursday, August 22, 2024 16:48 To: [email protected] Subject: [ucinet] LR-QAP Relational effect ? HI, ? Maybe I'm looking wrong, I'm not finding the help file for LR-QAP in general. Ok, you test one way or another and in the end, you can understand the best use of the resource. However, the relational effects are not easy to interpret without a help file. Somewhere in this forum, I found: ? ? Reciprocity effect ? Transitivity effect (closure) ? Preferential attachment effect ? Can anyone enlighten me if the logic of the resource is as described above? ? tnx, ? p |