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Dive into the research topics where Bernard P. Brooks is active.

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Featured researches published by Bernard P. Brooks.


Applied Mathematics Letters | 2004

Linear stability conditions for a first-order three-dimensional discrete dynamic

Bernard P. Brooks

Linear stability conditions for a first-order three-dimensional discrete dynamic are derived in terms of the trace, determinant, and sum of principle minors of the Jacobian evaluated at the equilibrium.


Applied Mathematics Letters | 2006

The coefficients of the characteristic polynomial in terms of the eigenvalues and the elements of an n×n matrix

Bernard P. Brooks

Abstract The coefficients of the characteristic polynomial of an n × n matrix are derived in terms of the eigenvalues and in terms of the elements of the matrix. The connection between the two expressions allows the sum of the products of all sets of k eigenvalues to be calculated using cofactors of the matrix.


Applied Mathematics Letters | 2006

The Brouwer Fixed Point Theorem applied to rumour transmission

William Basener; Bernard P. Brooks; David S. Ross

The results of the Brouwer Fixed Point Theorem are extended to continuous dynamical systems. It is shown that if there exists a compact convex positive invariant set for the dynamical system, then this convex positive invariant set contains an equilibrium point. The existence of an interior equilibrium is shown for a general model of rumour transmission.


Advanced Dynamic Modeling of Economic and Social Systems | 2013

Rumour Propagation on Social Networks as a Function of Diversity

Bernard P. Brooks

In the case of a rumour propagating across a social network comprised of two interconnected groups, a majority group and a minority group, the effect on the rumour propagation of the minority’s distribution in the social network is investigated. The rumour is derogatory towards the minority group and its transmission is simulated using the GBN-Dialogue model of rumour propagation on realistic social networks. The integration of the minority group into the entire social network is measured by the Minority Integration Metric (MIM). Monte Carlo simulations show that rumour penetration into the minority subgroup is an increasing linear function of the MIM and thus minority members of the social network will have a higher level of belief in the minority-derogatory rumour if the minority is more integrated into the social network. A threshold MIM value can be estimated below which the rumour fails to penetrate the minority subgroup.


international conference on critical infrastructure protection | 2016

A Multidisciplinary Predictive Model for Managing Critical Infrastructure Disruptions

Carol J. Romanowski; Rajendra K. Raj; Jennifer Schneider; Sumita Mishra; Bernard P. Brooks; Jessica W. Pardee; Bharat Bhole; Nikolaus Robalino

When communities are subjected to disruptive events, their response structure is composed of two interconnected systems: (i) a formal professional system that includes emergency services and auxiliary services professionals; and (ii) an ad hoc system formed by community members when the professional response is delayed or is inadequate. The community system typically persists until the professional system is able to take over completely. As the role of the community as responder is not well understood, community systems are often underutilized or even discouraged; this reduces the overall response efficacy. Improved understanding of the interplay between these systems could help ensure an effective overall response to disruptions.


Journal of Applied and Computational Mathematics | 2014

Linear Stability Conditions for a First Order 4-Dimensional Discrete Dynamic

Bernard P. Brooks

Linear stability conditions for a first order 4-dimensional discrete dynamic are derived in terms of the trace, sum of minors, sum of their minors, and the determinant of the Jacobian evaluated at the equilibrium.


International Journal of Business Continuity and Risk Management | 2012

Modelling communication network effect on emergency evacuation times: public vs. personal

Michael E. Long; Patrick N. Morabito; Bernard P. Brooks; Jennifer Schneider

Unexpected, catastrophic events initially result in anxiety and confusion. The congestion of pedestrians and vehicles further exacerbates the already turbulent environment. This uncertainty results in a chaotic site of victims, curiosity seekers, emergency responders, and mere transient individuals. Initial public announcements are often delayed, inaccurate, and met with skepticism and disbelief. However, interpersonal communications, although potentially less accurate, may have a greater influence on behaviour. With this in mind, an agent-based model was developed that included vehicle movement on roadways with traffic lights and stop signs, a disaster site, evacuation sites, and communication systems consisting of both public broadcast and personal communication networks. As an extension of earlier work, we explored the effect of the public announcement control variables and contrasted the results with those from a personal communication network. In addition, the model is thoroughly explored, explained, and shown to demonstrate the potential for improved site evacuation via personal communication networks, i.e., cell phones.


Journal of Experimental Social Psychology | 2013

Rumor clustering, consensus, and polarization: Dynamic social impact and self-organization of hearsay

Nicholas DiFonzo; Martin J. Bourgeois; Jerry Suls; Christopher M. Homan; Noah Stupak; Bernard P. Brooks; David S. Ross; Prashant Bordia


Nonlinear Dynamics, Psychology, and Life Sciences | 2008

DYNAMICS OF A DISCRETE POPULATION MODEL FOR EXTINCTION AND SUSTAINABILITY IN ANCIENT CIVILIZATIONS

William Basener; Bernard P. Brooks; Radin M; Wiandt T


Nonlinear Dynamics, Psychology, and Life Sciences | 2008

Rat instigated human population collapse on easter island.

William Basener; Bernard P. Brooks; Radin M; Wiandt T

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William Basener

Rochester Institute of Technology

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Jennifer Schneider

Rochester Institute of Technology

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Michael E. Long

Rochester Institute of Technology

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Jessica W. Pardee

Rochester Institute of Technology

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Bharat Bhole

Rochester Institute of Technology

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Carol J. Romanowski

Rochester Institute of Technology

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Christopher M. Homan

Rochester Institute of Technology

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Nicholas DiFonzo

Rochester Institute of Technology

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