colall/ione

Source Code and data for IJCAI 2016 paper "Aligning Users Across Social Networks Using Network Embedding"

ione's Issues

锚链接文件groundtruth里只有一列，是因为有层间链接的两层网络对应节点标号相同吗？

比如5，就是源网络的5号和目标网络的5号之间有层间连接，是这个意思吗？谢谢~

source图和target图的节点可以打乱吗

了解到IONE的输入source和target网络对节点的要求是对应的节点名称必须一致，在2018年的综述A comparative study on network alignment techniques里，HT等人对您的模型做出了修改，使模型支持打乱的节点输入。我用相同的数据集和相同的配置，同时用您的IONE模型和HT等人修改的IONE模型跑了几组实验，发现结果有较大的区别，不知道老师是否有官方支持打乱节点的IONE版本呢😄

Question about the ground-truth data structure

Dear Mr./Ms. Liu,

Your work in the IJCAI 2016 paper "Aligning Users Across Social Networks Using Network Embedding" is impressive, and I’m trying to test the code you provided.

But I have a question about the structure of the twitter_foursquare_groundtruth data, which you introduced as “the groundtruth for our experiment, the anchor users between twitter and foursquare.”
For example, in the file groundtruth.9.foldtrain.train.number, the data contains 1451 lines single-column ids like following:

0
1
2
4
5
...

I wonder how it could indicate the anchor links between twitter and foursquare data, and to users in which dataset, Twitter or Foursquare, do these indexes represent to? In my opinion, it should be in the form that could indicate which user in twitter has the same account in foursquare (like an edge):

twitter anchors(id)<->foursquare anchors(id)
0<->4
1<->5
...

So could you further explain the structure of how the data indicate the ground-truth relationship?

Another point I would like to confirm is that in your paper, the number of both twitter and foursquare user node is more than 5000, but the number of anchor users is only 1609. Does that mean that the training/test data could only be sampled from these 1609 anchors, as the relationship of the rest of the users in these two network (which is |UnalignedNonAnchors| if I am correct) remain unknown, thus could not be used to test the prediction result is correct or wrong?

Thank you very much for the time.

I want to ask you the something about the data

I view the code and want to konw where is the anchor nodes, 0-1609 is the anchor nodes?