MultiScale Modeling of Islamic Organizations in UK

Abstract

Abstract-In this paper we utilize an efficient sparse inverse covariance matrix (precision matrix) estimation technique to identify a set of highly correlated discriminative perspectives. We develop a ranking system that utilizes ranked perspectives to map 26 UK Islamic organizations on a set of socio-cultural, political and behavioral scales based on their web corpus. We create a gold standard ranking of these organizations through an expertise elicitation tool. We compute expert-to-expert agreements, and we present experimental results comparing the performance of the QUIC based scaling system to another baseline method. The QUIC based algorithm not only outperforms the baseline method, but it is also the only system that consistently performs at area expert-level accuracies for all scales.

The use of sparse inverse covariance estimation for relationship detection and hypothesis generation in strategic management

“…SICE techniques are used to uncover the intrinsic connectivity among a particular network of variables Tibshirani, 2008, 2010;Huang et al, 2010;Jones et al, 2012;Weiss and Freeman, 2001). Originally developed by Dempster (1972), SICE techniques have been used in a range of populations, including brain regions (Huang et al, 2010;Valdes-Sosa et al, 2005), speech patterns (Zhang and Fung, 2013), equities (Fan, Lv, and Qi, 2011), genes (Dobra et al, 2004;Toh and Horimoto, 2002), people (Ahmed and Xing, 2009;Myers and Leskovec, 2010), and organizations (Kim et al, 2013).…”