Signed Network Dataset Repository: Extracting Signed Relations From Social Networks

The proliferation in the use of social media and networking platforms has enhanced frequent interactions among individuals. The signed networks can be utilized to best perceive such complex relations. However, these real-world signed network datasets are scarce as the real-world signed datasets often involve dealing with sensitive information about individuals and their relationships. The ethical and privacy concerns of various social media platforms can further limit the availability of datasets for research and academic purposes. Furthermore, the availability of signed bipartite network datasets is even scarcer than signed network datasets. Existing signed network datasets also lack node/edge level attributes, yet recent trends in graph analytics have shown the significance of these features, for example, with GNNs, to advance benchmarking. To address such issues, we present three datasets in this paper: Reddit Posts (bipartite network with primary node level attributes and secondary level edge attributes), Bitcoin-OTC, and Bitcoin-Alpha datasets (signed networks with primary node and edge level attributes). Additionally, we explore potential research applications the dataset opens up across various domains. Various datasets discussed in this paper, along with already existing signed network datasets, are made publicly available using Signed Network Dataset Repository (SigNET Repo) at: https://aikta-arya.github.io/SigNET-/