Most of the examples of collective behavior mentioned above are instances of crowd behavior. The classic treatment of crowds is Gustave LeBon, The Crowd: A Study of the Popular Mind (1896), in which LeBon shows himself to be a frightened aristocrat.

He interprets the crowd episodes of the French Revolution as irrational reversions to animal emotion, and]] such reversions as characteristic of crowds in general. Freud expresses a similar view in his Group Psychology and the Analysis of the Ego (1922).

Robert Park and Herbert Blumer see crow ....etc

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Abstract
Real-time interactive virtual classroom with teleeducation experience is an important approach in distance learning. However, most current systems fail to meet new challenges in extensibility and scalability, which mainly lie with three issues. First, an open system architecture is required to better support the integration of increasing human-computer interfaces and personal mobile devices in the classroom. Second, the learning system should facilitate opening its interfaces, which will help easy deployment that copes with dif ....etc

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Scalable Learning of Collective Behavior



INTRODUCTION
THE advancement in computing and communication
technologies enables people to get together
and share information in innovative ways. Social
networking sites (a recent phenomenon) empower
people of different ages and backgrounds with new
forms of collaboration, communication, and collective
intelligence. Prodigious numbers of online volunteers
collaboratively write encyclopedia articles of
unprecedented scope and scale ....etc

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i am searching for the future enhancement - about supporting efficient and scalable multicasting over manet.

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i need the source code for scalable learning of collective behaviour.. pls help and send me the download page link ....etc

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collective behavior matlab code

% Simulation of Kuramoto's model (Chapter 6, Box A)
% Written by Joakim Munkhammar
%

clear;

% N is i, the number of individuals in
% the collective (N>1 required))
N=80;

% Total number of timesteps
T=200

% The range for coupling constant K
% Setting up the vector of Ktot
Klow = 0;
Kup = 3.5;
Kstep = 0.05;
totsteps = round((Kup-Klow)/Kstep);
Ktot(1) = Klow;
for i=2:totsteps;
Ktot(i) = Ktot(i-1)+Kstep;
end

%Time step size. As tau -> 0 approximation of continumm model improves
tau=0.1

% w is defined as w( ....etc

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To get full information or details of future enhancement for scalable and secure sharing please have a look on the pages

http://seminarsprojects.net/Thread-scalable-learning-of-collective-behavior

if you again feel trouble on future enhancement for scalable and secure sharing please reply in that page and ask specific fields ....etc

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To get full information or details of scalable learning of collective behaviour please have a look on the pages

http://seminarsprojects.net/Thread-scalable-learning-of-collective-behavior

if you again feel trouble on scalable learning of collective behaviour please reply in that page and ask specific fields in scalable learning of collective behaviour ....etc

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