While numerous public blockchain datasets are available, their utility is constrained by a singular focus on blockchain data. This constraint limits the incorporation of relevant social network data into blockchain analysis, thereby diminishing the breadth and depth of insight that can be derived. To address the above limitation, we introduce ETGraph, a novel dataset that authentically links Ethereum and Twitter, marking the first and largest dataset of its kind. ETGraph combines Ethereum transaction records (2 million nodes and 30 million edges) and Twitter following data (1 million nodes and 3 million edges), bonding 30,667 Ethereum addresses with verified Twitter accounts sourced from OpenSea. Detailed statistical analysis on ETGraph highlights the structural differences between Twitter-matched and non-Twitter-matched Ethereum addresses. Extensive experiments, including Ethereum link prediction, wash-trading Ethereum addresses detection, and Twitter-Ethereum matching link prediction, emphasize the significant role of Twitter data in enhancing Ethereum analysis. ETGraph is available at https://etgraph.deno.dev/.

Web 3.0 is the generation of interest where apps and websites can analyze data like a human with the help of Machine Learning, Big Data, and decentralized ledger technologies. Data here is decentralized and open, unlike Web 2.0 and it is autonomous and intelligent. Cybersecurity is the most important in the technology world. And as Web 3.0 develops, more cybersecurity risks will come to light. At present risks like Information quality, Data Availability, Data Confidentiality, and Data Manipulation are being the major concerns.