Code files replicate the study 'Coordinated information attacks in social networks: The optimal number of bots and protective power of ranking algorithms'. The data was authored by Ivan Kozitsin and hosted on Harvard Dataverse, with a last recorded update in April 2026.
Use Cases
- Simulating coordinated information attacks based on the described bot-agent models
- Evaluating the protective effect of ranking algorithms against influence campaigns
- Analyzing optimal bot network size for achieving influence objectives in social networks
Strengths
- Data is directly linked to a specific, named academic paper, providing clear research context.
- Last update timestamp is precisely recorded as 2026-04-13 15:53:40.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Code files created for academic paper replication.
- Time Range
- null
- Freshness
- Last updated 2026-04-13 15:53:40; freshness should be verified.
- Geography
- null