Recent research has involved identifying communities in networks. Traditional methods of community detection usually assume that the network's structural information is fully known, which is not the case in many practical networks. Moreover, most previous community detection algorithms do not differentiate multiple relationships between objects or persons in the real world. In this article, we propose a new approach that utilizes social interaction data (e.g., users' posts on Facebook) to address the community detection problem in Facebook and to find the multiple social groups of a Facebook user. Some advantages to our approach are (a) it does not depend on structural information, (b) it differentiates the various relationships that exist among friends, and (c) it can discover a target user's multiple communities. In the experiment, we detect the community distribution of Facebook users using the proposed method. The experiment shows that our method can achieve the result of having the average scores of Total-Community-Purity and Total-Cluster-Purity both at approximately 0.8.
This study proposes an RC-filtered stress-decoupled (RCSD) 4T2R nonvolatile TCAM (nvTCAM) to 1) suppress match-line (ML) leakage current from match cells (I ML-M ), 2) reduce ML parasitic load (C ML ), 3) decouple NVM-stress from wordlength (WDL) and I ML-MIS . RCSD reduces NVM-stress by 7+x, and achieves a 4+x improvement in speed-WDL-capacity-product. A 128x32b RCSD nvTCAM macro was fabricated using HfO ReRAM and an 180nm CMOS. This paper presents the first ReRAM-based nvTCAM featuring the shortest (1.2ns) search delay (T SD ) among nvTCAMs with WDL≧32b.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.