ANALYSIS OF PROXIMITY INFORMED USER BEHAVIOR IN A GLOBAL ONLINE SOCIAL NETWORK
By Nils Breitmar, Matthew C. Harding, Hanqiao Zhang
Rating
1273
Battle Count: 223
Relevance
2/10
While the paper focuses on social network analysis, the methodologies used could potentially be adapted for analyzing relationships between financial entities or market participants.
Implementation Complexity
7/10
The implementation involves complex data processing and large-scale dyadic Logit models, requiring significant computational resources.
Reproducibility
3/5
The paper provides detailed methodology, but the dataset is proprietary and not publicly available.
About this paper
Methodology: Dyadic Logit Model. Problem types: Classification, Social Network Analysis.
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