Abstract: The present systems and methods relate to frameworks for identifying persons of interest identified through datasets collected from law-enforcement agencies, financial institutions, or other public resources. The present systems represent network data regarding individuals and explicit connections between them as a network graph. The present systems determine a statistical model representing the network graph, the statistical model generating hidden parameters for decomposing and projecting the network graph onto a space of baseline communities.

Abstract: A method, system and article of manufacture for exchanging data between an asynchronous network and a synchronous network is presented. Data is exchanged between the networks in a sequence of time frames which are partitioned into downlink, uplink and contention periods. These downlink, uplink and contention periods are further divided into time slots, each of which carries either data or control cells between the networks. Cells of data are allocated to the time slots according to their cell deadlines which are proportional to the transmission delay of the network connection over which the cells are to be carried. This cell allocation is then stored in a slot map and communicated to all nodes within the networks in order to facilitate the data transmission.