Replication Data for: Formal Models of Opinion Formation and their Application to Real Data: Evidence from Online Social Networks
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Replication Data for: “Formal Models of Opinion Formation and their Application to Real Data: Evidence from Online Social Networks”The repository includes three files: Code.ipynb, X_friends.npz, and X_opinions.csv. The first one is a notebook document used by Jupyter Notebook, which stores the Python code to replicate the results from the Manuscript. To open this file one need install Python and Jupyter. The second file contains the matrix A of users’ friendship connections. The matrix representation is the sparse csr-format. The file X_opinions.csv consists of the matrices X ̂ and X ̂_- stacked together along the horizontal axis. The last two files keep the data, which was originally introduced in (Kozitsin et al., 2019) and located on the repository https://doi.org/10.7910/DVN/OUZY74. For convenience of usage, we copy it here.Ref' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Bounded Confidence","French-DeGroot Model","Social Influence","Social Judgment Theory","Social Networks"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Replication Data for: “Formal Models of Opinion Formation and their Application to Real Data: Evidence from Online Social Networks”The repository includes three files: Code.ipynb, X_friends.npz, and X_opinions.csv. The first one is a notebook document used by Jupyter Notebook, which stores the Python code to replicate the results from the Manuscript. To open this file one need install Python and Jupyter. The second file contains the matrix A of users’ friendship connections. The matrix representation is the sparse csr-format. The file X_opinions.csv consists of the matrices X ̂ and X ̂_- stacked together along the horizontal axis. The last two files keep the data, which was originally introduced in (Kozitsin et al., 2019) and located on the repository https://doi.org/10.7910/DVN/OUZY74. For convenience of usage, we copy it here.Ref' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Replication Data for: “Formal Models of Opinion Formation and their Application to Real Data: Evidence from Online Social Networks”The repository includes three files: Code.ipynb, X_friends.npz, and X_opinions.csv. The first one is a notebook document used by Jupyter Notebook, which stores the Python code to replicate the results from the Manuscript. To open this file one need install Python and Jupyter. The second file contains the matrix A of users’ friendship connections. The matrix representation is the sparse csr-format. The file X_opinions.csv consists of the matrices X ̂ and X ̂_- stacked together along the horizontal axis. The last two files keep the data, which was originally introduced in (Kozitsin et al., 2019) and located on the repository https://doi.org/10.7910/DVN/OUZY74. For convenience of usage, we copy it here.Ref
Bounded Confidence; French-DeGroot Model; Social Influence; Social Judgment Theory; Social Networks