⚔️ 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 Download

Dataset 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