scholarly journals How Does Active Participation Affect Consensus: Adaptive Network Model of Opinion Dynamics and Influence Maximizing Rewiring

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Markus Brede
Keyword(s):  
Network Model ◽  
Opinion Dynamics ◽  
Active Participation ◽  
Tolerance Interval ◽  
Consensus Formation ◽  
Adaptive Network ◽  
External Agents ◽  
Adaptive Processes ◽  
The Impact ◽  
Exogenous Control

In this paper we study the impact of active participation, or deliberately seeking out other agents with an aim of convincing them, on the dynamics of consensus formation. For this purpose, we propose an adaptive network model in which two processes shape opinion dynamics at interwoven time-scales as follows: (i) agents adapt their opinions subject to influence from social network neighbours who hold opinions within a tolerance interval δ and (ii) agents rewire network connections with an aim of maximizing their own influence on overall system opinion. We study this system both in an endogenous setting, in which all agents are subject to influence and also attempt to maximize influence, and in a setting of exogenous control, in which external agents not subject to influence adaptively attempt to maximize their influence. In both settings we find three regimes of stationary opinion configurations: (i) for low δ a regime of two evenly balanced radicalized opinion clusters at the extremes of the opinion space, (ii) for intermediate δ a ’winner-takes-most’ regime of two unevenly sized radicalized opinion clusters, and (iii) for large δ a regime in which very low spread compromise consensus states can be reached. Comparing to adaptive processes of random and deliberately spread-reducing rewiring, we demonstrate that in regime (iii) competitive influence maximization can achieve near-minimal opinion spread within near-optimal times. Further, we also show that competitive influence maximizing rewiring can reduce the impact of small influential minorities on consensus states.

scholarly journals An Adaptive Network Model to Simulate Consensus Formation Driven by Social Identity Recognition

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Kaiqi Zhang ◽  
Zinan Lv ◽  
Hai Feng Du ◽  
Honghui Zou
Keyword(s):  
Community Structure ◽  
Social Identity ◽  
Network Model ◽  
Structural Adjustment ◽  
Initial Conditions ◽  
Social Systems ◽  
Individual State ◽  
Consensus Formation ◽  
Adaptive Network ◽  
The Individual

Models of the consensus of the individual state in social systems have been the subject of recent research studies in the physics literature. We investigate how network structures coevolve with the individual state under the framework of social identity theory. Also, we propose an adaptive network model to achieve state consensus or local structural adjustment of individuals by evaluating the homogeneity among them. Specifically, the similarity threshold significantly affects the evolution of the network with different initial conditions, and thus there emerges obvious community structure and polarization. More importantly, there exists a critical point of phase transition, at which the network may evolve into a significant community structure and state-consistent group.

scholarly journals Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands

2021 ◽  
Vol 18 (8) ◽  
pp. 4150
Author(s):  
Keyu Qin ◽  
Haijun Huang ◽  
Jingya Liu ◽  
Liwen Yan ◽  
Yanxia Liu ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Network Model ◽  
Geographical Information ◽  
Global Changes ◽  
Bayesian Network Model ◽  
Island Ecosystems ◽  
Impact Mechanism ◽  
The North ◽  
Ecological Vulnerability ◽  
The Impact

Islands are one of the most sensitive interfaces between global changes and land and sea dynamic effects, with high sensitivity and low stability. Therefore, under the dynamic coupling effect of human activities and frequent natural disasters, the vulnerability of the ecological environment of islands shows the characteristics of complexity and diversity. For the protection of island ecosystems, a system for the assessment of island ecosystems and studies on the mechanism of island ecological vulnerability are highly crucial. In this study, the North and South Changshan Islands of China were selected as the study area. Considering various impact factors of island ecological vulnerability, the geographical information systems (GIS) spatial analysis, field surveys, data sampling were used to evaluate island ecological vulnerability. The Bayesian network model was used to explore the impact mechanism of ecological vulnerability. The results showed that the ecological vulnerability of the North Changshan Island is higher than that of the South Changshan Island. Among all the indicators, the proportion of net primary productivity (NPP) and the steep slope has the strongest correlation with ecological vulnerability. This study can be used as references in the relevant departments to formulate management policies and promote the sustainable development of islands and their surrounding waters

scholarly journals Statistical Modeling and Prediction for Tourism Economy Using Dendritic Neural Network

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Ying Yu ◽  
Yirui Wang ◽  
Shangce Gao ◽  
Zheng Tang
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Rapid Development ◽  
Seasonal Trend ◽  
Moving Averages ◽  
Forecasting Methods ◽  
Tourism Economy ◽  
The Impact ◽  
D Model

With the impact of global internationalization, tourism economy has also been a rapid development. The increasing interest aroused by more advanced forecasting methods leads us to innovate forecasting methods. In this paper, the seasonal trend autoregressive integrated moving averages with dendritic neural network model (SA-D model) is proposed to perform the tourism demand forecasting. First, we use the seasonal trend autoregressive integrated moving averages model (SARIMA model) to exclude the long-term linear trend and then train the residual data by the dendritic neural network model and make a short-term prediction. As the result showed in this paper, the SA-D model can achieve considerably better predictive performances. In order to demonstrate the effectiveness of the SA-D model, we also use the data that other authors used in the other models and compare the results. It also proved that the SA-D model achieved good predictive performances in terms of the normalized mean square error, absolute percentage of error, and correlation coefficient.

Challenge and Conformity

2021 ◽  
Author(s):  
Lindsey Taylor-Guthartz
Keyword(s):  
Family Members ◽  
Religious Life ◽  
Active Participation ◽  
Orthodox Jewish ◽  
Lived Religion ◽  
Jewish Women ◽  
Women's Participation ◽  
The Usa ◽  
Religious Establishment ◽  
The Impact

Orthodox Jewish women are increasingly seeking new ways to express themselves religiously, and important changes have occurred in consequence in their self-definition and the part they play in the religious life of their communities. Drawing on surveys and interviews across different Orthodox groups in London, as well as on the author's own experience of active participation over many years, this is a study that analyses its findings in the context of related developments in Israel and the USA. Sympathetic attention is given to women's creativity and sophistication as they struggle to develop new modes of expression that will let their voices be heard; at the same time, the inevitable points of conflict with the male-dominated religious establishment are examined and explained. There is a focus, too, on the impact of innovations in ritual: these include not only the creation of women-only spaces and women's participation in public practices traditionally reserved for men, but also new personal practices often acquired on study visits to Israel which are replacing traditions learned from family members. The book is a study of how new norms of lived religion have emerged in London, influenced by both the rise of feminism and the backlash against it, and also by women's new understanding of their religious roles.

scholarly journals Network model for researching the impact of the increasing of division of labor on innovations and economic growth

2020 ◽  
pp. 60-69
Author(s):  
I.P. Timofeev ◽  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Economic System ◽  
Division Of Labor ◽  
Network Model ◽  
Economic Development And Growth ◽  
Economic Interpretation ◽  
The Impact ◽  
Further Development

The author offers a network model of the economic system designed to research the impact of increasing technological division of labor on the opportunities for economic development and growth. The article describes the main elements of the model and their economic interpretation, as well as the basic rules for its construction. An economic network consists of sets of producers, consumers and goods flows between them. The author shows how the model represents the appearance of various types of innovations. The author has outlined main directions of further development and researching the model.

scholarly journals Empowering Women For Sustainable Development Through Active Participation In Social Enterprise’s Sector In Pakistan

2019 ◽  
Vol 19 (1) ◽  
pp. 59-74
Author(s):  
Khalid Mahmood Iraqi ◽  
Tehmina Faisal
Keyword(s):  
Sustainable Development ◽  
Social Acceptance ◽  
Active Participation ◽  
Social Enterprises ◽  
Social Value ◽  
Primary Data ◽  
Snowball Sampling ◽  
Economic Activities ◽  
The Social ◽  
The Impact

Women are around 51% of the total population of Pakistan, and they can do miracles through their active participation in economic activities of the country. Empowering women means accrediting half of the population for sustainable development. The aim of this paper is to examine and analyze the impact of active women participation in the social enterprise sector for their empowerment, and its subsequent consequences in creation of social value in society. For this purpose, primary data has been collected through random and snowball sampling to gain insight into female practitioner’s perspective. The paper highlights women empowerment as a multi-dimensional phenomenon based on four dimensions: psychological, social, economic and political empowerment. It prime focus on active participation in the social enterprise’s sector may lead to increase in enablement of women, the data shows that majority of female entrepreneur responded that they feel psychologically empowered and have financial contribution in household expenses and in community welfare. Secondly, the paper identifies the major challenges including concern of safety and security, lack of access to financial opportunities and social acceptance of the project that restrict women entrepreneurs from progress and creation of social value. Thirdly, it intends to construct framework for recommendations to promote women social enterprises in Pakistan for sustainable development as a whole.

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