INDUCED MONOCULTURE IN AXELROD MODEL WITH CLEVER MASS MEDIA

2009 ◽  
Vol 20 (08) ◽  
pp. 1233-1245 ◽  
Author(s):  
AREZKY H. RODRÍGUEZ ◽  
M. del CASTILLO-MUSSOT ◽  
G. J. VÁZQUEZ
Keyword(s):  
Vector Field ◽  
Mass Media ◽  
Social Systems ◽  
Threshold Value ◽  
New Model ◽  
Negative Publicity ◽  
Two Parameters ◽  
Multicultural States ◽  
Confidence Value ◽  
Opposite Line

A new model is proposed, in the context of Axelrod's model for the study of cultural dissemination, to include an external vector field (VF) which describes the effects of mass media on social systems. The VF acts over the whole system and it is characterized by two parameters: a nonnull overlap with each agent in the society and a confidence value of its information. Beyond a threshold value of the confidence, there is induced monocultural globalization of the system lined up with the VF. Below this value, the multicultural states are unstable and certain homogenization of the system is obtained in opposite line up according to that we have called negative publicity effect. Three regimes of behavior for the spread process of the VF information as a function of time are reported.

A Discourse on Mass Media and Society

2018 ◽  
pp. 422-438 ◽  
Author(s):  
Nneoma A. Anozie
Keyword(s):  
Mass Media ◽  
Media Studies ◽  
Media Literacy ◽  
Medical Diagnosis ◽  
Social Systems ◽  
Diagnosis And Treatment ◽  
Media Ethics ◽  
Medical Issues ◽  
Perceived Effects ◽  
The Media

Mass media and society, a popular concept in media studies, has constituted much discourse due to roles media play in society and perceived effects that can result thereof. This chapter is inspired by the term ‘medicalization of the society' whereby ailments are regarded as medical issues and subjected to medical diagnosis and treatment, regardless of their true causes. Similarly, the violence, moral decadence and ethno-religious crises witnessed in the society are largely ascribed to the media. This chapter examined the said effects of mass media with society's social systems, cultures and values, with a view to finding a relationship. It argues that these societal makeups especially ones as formidable as Africa's also affect largely members' conducts and reactions to media contents. However, it advocates children's news segment, adherence to media ethics, and use of media programmes to enhance learning, proper socialization, abolishment of negative cultures, media literacy among others.

scholarly journals Online Collectivism, Individualism and Anonymity in East Asia

2012 ◽  
Vol 9 (4) ◽  
pp. 424-440
Author(s):  
Kenneth Farrall
Keyword(s):  
Mass Media ◽  
South Korea ◽  
East Asia ◽  
Social Systems ◽  
The Internet ◽  
Cultural Contexts ◽  
Online Anonymity ◽  
Individual Privacy ◽  
Collective Cognition ◽  
Tripartite Relationship

Anonymity on the internet has come under increasing criticism as a threat to public civility and safety. This article draws data from related academic studies, trade press and mass media to examine recent variations in the salience, use, and comparative value of anonymity, and its tripartite relationship with individuality and collectivism, across three specific cultural contexts: China, South Korea, and Japan. While online anonymity in East Asia plays a role in affiliation and in acts of collective cognition, it is also valued as an individual privacy resource. We must be especially wary about assuming social systems might be better off, more secure, without it.

Self-observation, self-reference and operational coupling in social systems: steps towards a coherent epistemology of mass media

2009 ◽  
Vol 1 (1) ◽  
pp. 59-74
Author(s):  
Juan Miguel Aguado
Keyword(s):  
Mass Media ◽  
Social Systems ◽  
Social Contexts ◽  
Epistemic Status ◽  
Media System ◽  
Autopoietic Systems ◽  
Meaning Systems ◽  
Meaning Production ◽  
Significant Divergence ◽  
The Mass Media

This paper is concerned with the role of self-observation in managing complexity in meaning systems. Revising Niklas Luhmann's theory of mass media, we approach the mass media system as a social sub-system functionally specialized in the coupling of psychic systems' (individuals) self-observation and social systems' self-observation (including, respectively, themselves as each other's internalized environment).According to Autopoietic Systems Theory and von Foerster's second order cybernetics, self-observation presupposes a capability for meta-observation (to observe the observation) that demands a specific distinction between observer and actor. This distinction seems especially relevant in those social contexts where a separation between the action of observation and other social actions is required (in politics, for instance). However, in those social contexts (such as mass-media meaning production) where the defining action is precisely observation (in terms of the differentiation that constitutes the system), the border between observer and actor is blurred.We shall consider the significant divergence between the implicit and the explicit epistemologies of the mass media system, which appears to be characterized by the explicit assumption of a classic objectivist epistemology, on one side, and a relativist epistemology on the other, posing a hybrid epistemic status somewhere in between science and arts.

An estimative (warning) model for recognition of pandemic nature of virus infections

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nikolay A. Kudryashov ◽  
Mikhail Chmykhov ◽  
Michael Vigdorowitsch
Keyword(s):  
A Priori ◽  
Epidemiological Data ◽  
Threshold Value ◽  
Logistic Function ◽  
Virus Infections ◽  
Sis Model ◽  
Infection Index ◽  
Two Parameters ◽  
Warning Model ◽  
Two Parameter

Abstract A simple SIS-type mathematical model of infection expansion is presented and analysed with focus on the case SARS-Cov-2. It takes into account two processes, namely, infection and recovery/decease characterised by two parameters in total: contact rate and recovery/decease rate. Its solution has a form of a quasi-logistic function for which we have introduced an infection index that, should it become negative, can also be considered as a recovery/decease index with decrease of infected down to zero. Based on the data from open sources for the SARS-Cov-2 pandemic, seasonal influenza epidemics and a pandemic in the fauna world, a threshold value of the infection index has been shown to exist above which an infection expansion pretends to be considered as pandemic. Lean (two-parameter) SIR models affined with the warning SIS model have been built. Their general solutions have been obtained, analysed and shown to be a priori structurally adjusted to the infectives’ peak in epidemiological data.

scholarly journals STABILITY OF NEARLY-INTEGRABLE SYSTEMS WITH DISSIPATION

2013 ◽  
Vol 23 (02) ◽  
pp. 1350036 ◽  
Author(s):  
CHRISTOPH LHOTKA ◽  
ALESSANDRA CELLETTI
Keyword(s):  
Dynamical System ◽  
Vector Field ◽  
Stability Behavior ◽  
Term Stability ◽  
Long Term Stability ◽  
Nearly Integrable Systems ◽  
The Stability ◽  
Two Parameters ◽  
Action Variables

We study the stability of a vector field associated to a nearly-integrable Hamiltonian dynamical system to which a dissipation is added. Such a system is governed by two parameters, namely the perturbing and dissipative parameters, and it depends on a drift function. Assuming that the frequency of motion satisfies some resonance assumption, we investigate the stability of the dynamics, and precisely the variation of the action variables associated to the conservative model. According to the structure of the vector field, one can find linear and long-term stability times, which are established under smallness conditions of the parameters. We also provide some applications to concrete examples, which exhibit a linear or long-term stability behavior.

scholarly journals Propagation Behavior of Virus Codes in the Situation That Infected Computers Are Connected to the Internet with Positive Probability

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Lu-Xing Yang ◽  
Xiaofan Yang
Keyword(s):  
Theoretical Analysis ◽  
Threshold Value ◽  
Computer Virus ◽  
The Internet ◽  
Asymptotically Stable ◽  
Positive Probability ◽  
Globally Asymptotically Stable ◽  
New Model ◽  
Propagation Behavior ◽  
Viral Equilibrium

All the known models describing the propagation of virus codes were based on the assumption that a computer is uninfected at the time it is being connected to the Internet. In reality, however, it is much likely that infected computers are connected to the Internet. This paper is intended to investigate the propagation behavior of virus programs provided infected computers are connected to the Internet with positive probability. For that purpose, a new model characterizing the spread of computer virus is proposed. Theoretical analysis of this model indicates that (1) there is a unique (viral) equilibrium, and (2) this equilibrium is globally asymptotically stable. Further study shows that, by taking active measures, the percentage of infected computers can be made below an acceptable threshold value.

scholarly journals Network Analysis to Identify the Risk of Epidemic Spreading

2021 ◽  
Vol 11 (7) ◽  
pp. 2997
Author(s):  
Kiseong Kim ◽  
Sunyong Yoo ◽  
Sangyeon Lee ◽  
Doheon Lee ◽  
Kwang-Hyung Lee
Keyword(s):  
Social Networks ◽  
Infectious Diseases ◽  
Transmission Rate ◽  
Human Life ◽  
Threshold Value ◽  
Average Degree ◽  
Fatality Rate ◽  
Human Contact ◽  
Epidemic Simulation ◽  
Two Parameters

Several epidemics, such as the Black Death and the Spanish flu, have threatened human life throughout history; however, it is unclear if humans will remain safe from the sudden and fast spread of epidemic diseases. Moreover, the transmission characteristics of epidemics remain undiscovered. In this study, we present the results of an epidemic simulation experiment revealing the relationship between epidemic parameters and pandemic risk. To analyze the time-dependent risk and impact of epidemics, we considered two parameters for infectious diseases: the recovery time from infection and the transmission rate of the disease. Based on the epidemic simulation, we identified two important aspects of human safety with regard to the threat of a pandemic. First, humans should be safe if the fatality rate is below 100%. Second, even when the fatality rate is 100%, humans would be safe if the average degree of human social networks is below a threshold value. Nevertheless, certain diseases can potentially infect all nodes in the human social networks, and these diseases cause a pandemic when the average degree is larger than the threshold value. These results indicated that certain infectious diseases lead to human extinction and can be prevented by minimizing human contact.

scholarly journals Election with Bribe-Effect Uncertainty: A Dichotomy Result

2019 ◽  
Author(s):  
Lin Chen ◽  
Lei Xu ◽  
Shouhuai Xu ◽  
Zhimin Gao ◽  
Weidong Shi
Keyword(s):  
Computational Complexity ◽  
Social Choice ◽  
Deterministic Model ◽  
Threshold Value ◽  
Realistic Model ◽  
Computational Social Choice ◽  
Mathematical Property ◽  
New Model ◽  
Fixed Threshold

We consider the electoral bribery problem in computational social choice. In this context, extensive studies have been carried out to analyze the computational vulnerability of various voting (or election) rules. However, essentially all prior studies assume a deterministic model where each voter has an associated threshold value, which is used as follows. A voter will take a bribe and vote according to the attacker's (i.e., briber's) preference when the amount of the bribe is above the threshold, and a voter will not take a bribe when the amount of the bribe is not above the threshold (in this case, the voter will vote according to its own preference, rather than the attacker's). In this paper, we initiate the study of a more realistic model where each voter is associated with a  willingness function, rather than a fixed threshold value. The willingness function characterizes the  likelihood a bribed voter would vote according to the attacker's preference; we call this bribe-effect uncertainty. We characterize the computational complexity of the electoral bribery problem in this new model. In particular, we discover a dichotomy result: a certain mathematical property of the willingness function dictates whether or not the computational hardness can serve as a deterrence to bribery attackers.

scholarly journals Rethinking Classical Precondition Formulas of Changes

2020 ◽  
Vol 16 (2) ◽  
pp. 61-68
Author(s):  
Béla Pataki ◽  
Katalin Pádár
Keyword(s):  
Threshold Value ◽  
Planned Change ◽  
New Model ◽  
Proportional Relation ◽  
The One

Some authors have expressed the most important preconditions of change success in different formulas. All formulas but one comprise a threshold value below which change cannot happen. The one without a threshold presumes proportionality between some factors and change success. These two approaches seemingly contradict each other. This paper resolves the contradiction by proposing a new model that comprises both a threshold value and a modified proportional relation that becomes valid beyond the threshold value. The conventional dimension of the ‘result’ is modified from ‘change’ to ‘attitude towards change’ because attitude in itself cannot guarantee that the planned change actually happens.

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