The software is a network analysis framework, whereby a user may detect and identify precursor events and patterns as they emerge in complex networks. Scalable subgraph matching algorithms will allow users to identify precursor events based on both structural and semantic subgraph properties and enable efficient subgraph pattern matching in massive and evolving networks. The analysis framework is intended to be used in a dynamic environment where network data is streamed in and is represented as a large-scale evolving dynamic graph. The framework may be applied to identify emerging graph patterns that are known to users in advance or ones that spontaneously emerge that are deemed 'significant" or 'interesting" and then alerted to users as significant events.