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twitter-neighbours

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in links-ads/twitter-neighbours
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1865, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1240, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 592, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in links-ads/twitter-neighbours

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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
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