⚔️ Task 1: Retweet Network Link Prediction
Introduction
The retweet network link prediction task aims to predict the retweet behavior between users in the social network. By predicting the retweet behavior patterns, insights can be gained into the mechanisms driving information diffusion, aiding in targeted content dissemination and audience engagement strategies.
Dataset
For the challenge, we collected a retweet dataset from Weibo, containing the retweet network of 1,563,421 users. In the retweet network, each node represents a user, and edges represent retweet relationships between users. The weight of an edge signifies the number of times one user has retweeted content from another user.
📥 Dataset DownloadDataset Description
The dataset comprises two files: train.txt
and test.txt
.
Train File Format
== train.txt ==
1563421
701683 871966 1
546410 304924 3
93571 927327 1
1307394 1150598 4
...
The first line indicates the total number of nodes. Each subsequent line represents an edge in the network with source node ID, target node ID, and edge weight.
Test File Format
== test.txt ==
612169 229397
1210014 943698
1542231 53444
530523 207660
1084259 1263491
...
Each line represents a pair of users for which a retweet relationship needs to be predicted.
Metric
The evaluation metric is the F1 score, the harmonic mean of precision and recall.
Submission Rules
There is no limit to the number of submissions per team. The final assessment will be based on the most recent submission.
Submission Format
The submission should be a .zip
file with the following structure:
{team_id}.zip
├── source_code
│ ├── evaluation.py
│ ├── ...
├── result.json
├── introduction.pdf
Result File Format
[0, 1, 0, 1, 0, ..., 1, 0, 0]
Source Code
The source_code
folder must contain an executable evaluation.py
script.
Model Introduction
The introduction.pdf
should describe the method and its innovative aspects.
Submission Method
Upload your submission files to a secure platform like Google Drive, generate a shareable link, and submit via the form below.
Only submissions that fully comply with the rules will be accepted.
📝 Submission Form