Scalable Community Detection in Massive Networks Using Aggregated Relational Data
Download or Read eBook Scalable Community Detection in Massive Networks Using Aggregated Relational Data PDF written by Timothy Jones and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle.
Author | : Timothy Jones |
Publisher | : |
Total Pages | : |
Release | : 2019 |
ISBN-10 | : OCLC:1120096712 |
ISBN-13 | : |
Rating | : 4/5 (12 Downloads) |
Book Synopsis Scalable Community Detection in Massive Networks Using Aggregated Relational Data by : Timothy Jones
Book excerpt: Our inference method converges faster than existing methods by leveraging nodal information that often accompany real world networks. Conditioning on this extra information leads to a model that admits a parallel variational inference algorithm. We apply our method to a citation network with over three million nodes and 25 million edges. Our method converges faster than existing posterior inference algorithms for the MMSB and recovers parameters better on simulated networks generated according to the MMSB.