The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Twitter Neighbours dataset
This repository contains the dataset assembled as part of a APPRAISE project (H2020-SU-SEC-2020H2020-SU-SEC-2020)
Description
The dataset contains a sampled graph, extracted from Twitter, starting from a list of seed users. Each user is initially represented by a semantic embedding (vector) computed as the average text embedding of a sample of its tweets, while users are connected with each other through the 'following/follower' property on Twitter.
Statistics
- number of users: 36122
- number of edges: 84026
- user initial embeddings size: 768
Files:
graph_train_and_test.pygeodata: is a compact representation of the graph for PyG usage.
twitter_neighs_graph.json: a dictionary containing:
- 'adj_sparse': adjacency matrix in sparse representation
- 'user_init_embs': initial user embedding, computed as average of text embedding of user tweets
- 'train_test_split': 0/1 1D list, where 0 represents the user is in teh training set and 1 the user is in the test set
- Downloads last month
- 13