Multilevel Models (MLM) have pioneered the analysis of hierarchical data, with two or more levels. Agent-Based Models (ABM) are also used to analyse social phenomena in which there are two or more levels involved. This paper addresses the integration between MLM and ABM. To provide a basis of comparison, we focus on differential school effectiveness analysis, where MLM has been well studied, us...

We study the percolation problem on the Apollonian network model. The Apollonian networks display many interesting properties commonly observed in real network systems, such as small-world behavior, scale-free distribution, and a hierarchical structure. By taking advantage of the deterministic hierarchical construction of these networks, we use the real-space renormalization-group technique to ...

backgrounds and aims: the tehran province was subject to the second highest incidence of fatalities due to traffic accidents in 1390. most studies in this field examine rural traffic accidents, but this study is based on the use of logit models and artificial neural networks to evaluate the factors that affect the severity of accidents within the city of tehran. materials and methods: among the...

EEective management of battleeeld networks requires a hierarchical network management architecture wherein managers can dynamically delegate management tasks to intermediate managers. In this paper we describe a novel framework called SHAMAN-Spreadsheet-based Hierarchical Architecture for MANagement-which extends the traditional at SNMP management model to a hierarchical architecture. We descri...

Wireless sensor network (WSN) is an emerging technology for exchanging data in various real-time monitoring systems. The WSN has distributed nature and dynamic topology which introduces very special requirements in routing the data. Various protocols developed for routing in WSNs are broadly classified in to four categories i.e. based on Network Structure, Communication Model, Topology and Reli...

Abstract Purpose of this paper: The objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach to evaluate the most suitable RFID-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. Design/methodology/approach: R...

We propose an agglomerative hierarchical kernel spectral clustering (AH-KSC) model for large scale complex networks. The kernel spectral clustering (KSC) method uses a primal-dual framework to build a model on a subgraph of the network. We exploit the structure of the projections in the eigenspace to automatically identify a set of distance thresholds. These thresholds lead to the different lev...

In this paper we present a hierarchical routing protocol in a large wireless, mobile network such as found in the automated battle field or in extensive disaster recovery operations. Conventional routing does not scale well to network size. Likewise, conventional hierarchical routing cannot handle mobility eficiently. We propose a novel soft state wireless hierarchical routing protocol Hierarch...