Temporal Networks Based Industry Identification for Bitcoin Users

With the development of Bitcoin, many thriving activities have developed into stable industries, such as Miner. Identifying and analyzing the transaction behaviors of users within these industries helps to understand the Bitcoin ecosystem from a macro perspective. Currently, industry identification mainly faces two issues. First, the anonymity of Bitcoin makes it difficult to identify the industry identifiers of users who participate in activities through different addresses. Second, since users usually engage in multiple industries at different periods, both the identification of their dynamically changing industry identifiers and the detection of their mostly engaged industry are challenging research tasks.