Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis

Abstract

Groundbreaking work analyzing early Internet data revealed novel phenomena that became the basis of a new endeavor: Network Science. This exciting new field has revealed fundamental properties about communication, social, and biological networks. Simultaneously, the Internet has expanded enormously and is now a domain of activity as important to civilization as land, sea, air, and space. The initial Internet observations that nurtured network science have ballooned and become the largest dynamic streaming data sets availability; creating fresh opportunities to examine the foundations of network science in previously unimagined detail. The analysis of streaming networks with trillions of events have stimulated the development of novel mathematics (e.g., associative array algebra), algorithms (e.g., hypersparse neural networks), software (e.g., GraphBLAS.org), and hardware. All of these capabilities are critically dependent on parallel processing. Application of these developments to the worlds' largest publicly available streaming event datasets have revealed a variety of new phenomena.