Assessing the Social Network Model

2015 ◽  
pp. 139-163
Keyword(s):  
Social Network ◽  
Network Model ◽  
The Social

The Child and Its Family: The Social Network Model

2005 ◽  
Vol 48 (1-2) ◽  
pp. 8-27 ◽  
Author(s):  
Michael Lewis
Keyword(s):  
Social Network ◽  
Network Model ◽  
The Social

Social Network Model of Political Participation in Japan*

2016 ◽  
Vol 17 (1) ◽  
pp. 44-62 ◽  
Author(s):  
AIE-RIE LEE
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Political Participation ◽  
Network Model ◽  
Comprehensive Model ◽  
Political Equality ◽  
Economic Resource ◽  
Resource Level ◽  
The Social ◽  
Exogenous Factors

AbstractThe objective of the study is to re-examine the Verba, Nie, and Kim (VNK)'s path-breaking analysis of political participation and political equality, under the inclusion of a social network model in Japan. In particular, the present research investigates how and why we find the extremely low correlations between one's socio-economic resource level (SERL) and political participation in Japan, the evidence unsatisfactorily explained by the VNK analysis. Building on the social network model and employing the first wave of the Asian Barometer survey conducted in 2003, this research presents a more comprehensive model of political participation. The study finds three major kinds of causes for the weak associations between SERL–participation levels in Japan: exogenous factors (i.e., sex, urbanization, and age); equalizing impact of social networks; and weak SERL–psychological involvement linkage. From the viewpoint of the social network model, it is clear that the weak SERL–participation linkage is derived from the equalizing impact of group-based processes, yet uniquely Japanese style of network involvement.

scholarly journals MAPPING FEAR OF CRIME THROUGH SOCIAL NETWORK MODEL

2020 ◽  
Vol 3 (2) ◽  
pp. 135-150
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Model ◽  
Criminal Behavior ◽  
Fear Of Crime ◽  
Control Mechanism ◽  
Binary Logistic Regression ◽  
Three Dimensions ◽  
The Social ◽  
Private And Public

The present study analyzes fear of crime through social network model. The social network model is delimited to three dimensions i.e., private social network (PrSN), parochial social network (PaSN), and public social network (PbSN). The association and contribution of each of the dimension is estimated through binary logistic regression. Data for the study is collected from 298 out of 1186 employees and students of the Main Campus of Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa-Pakistan. Findings of the study show that the three dimensions are inversely related to the fear of crime. It means that improvement in private, parochial, and public social networks reduces fear of crime. Further, it is observed that private and public social networks are contributing more than parochial social network in reducing fear of crime in Pakhtun society of district Mardan. Thus, it is inferred that social networks through the development of a sense of empowerment among the members decrease fear of crime. Stronger social networks act as a social control mechanism and reduce the likelihood of the occurrence of deviant, and/or criminal behavior in a society

scholarly journals Knowledge Evolution of Complex Agent Networks

2018 ◽  
Vol 173 ◽  
pp. 03050
Author(s):  
Zhao Yeqing
Keyword(s):  
Social Network ◽  
Network Model ◽  
Knowledge Network ◽  
Obvious Effect ◽  
Complex Agent ◽  
The Social ◽  
Knowledge Propagation ◽  
Knowledge Agents ◽  
Propagation Network ◽  
Agent Networks

In order to study the interaction between structure change of social network and knowledge propagation, this paper proposes a complex agent network model to discover the inner rule and restraining factors of the knowledge diffusion in the network system. The agents take advantage of different social radius to form acquaintance networks based on the theory of social circles in the knowledge propagation network model, and the dynamic evolution process of knowledge network is realized according the defined rules of knowledge communication. Simulation results show that this model based on social circle theory can better realize the characteristics of the actual social network than the traditional network model established before, at the same time the social radius of knowledge agent for knowledge dissemination in knowledge network has the obvious effect. It can narrow the knowledge gap for the knowledge agents in social network and good social relation network can be developed.

scholarly journals The social network model on infinite graphs

2020 ◽  
Vol 30 (2) ◽  
pp. 902-935
Author(s):  
Jonathan Hermon ◽  
Ben Morris ◽  
Chuan Qin ◽  
Allan Sly
Keyword(s):  
Social Network ◽  
Network Model ◽  
Infinite Graphs ◽  
The Social

scholarly journals Knowledge Evolution of Complex Agent Networks

2018 ◽  
Vol 176 ◽  
pp. 03007
Author(s):  
Zhao Yeqing
Keyword(s):  
Social Network ◽  
Network Model ◽  
Knowledge Network ◽  
Obvious Effect ◽  
Complex Agent ◽  
The Social ◽  
Knowledge Propagation ◽  
Knowledge Agents ◽  
Propagation Network ◽  
Agent Networks

In order to study the interaction between structure change of social network and knowledge propagation, this paper proposes a complex agent network model to discover the inner rule and restraining factors of the knowledge diffusion in the network system. The agents take advantage of different social radius to form acquaintance networks based on the theory of social circles in the knowledge propagation network model, and the dynamic evolution process of knowledge network is realized according the defined rules of knowledge communication. Simulation results show that this model based on social circle theory can better realize the characteristics of the actual social network than the traditional network model established before, at the same time the social radius of knowledge agent for knowledge dissemination in knowledge network has the obvious effect. It can narrow the knowledge gap for the knowledge agents in social network and good social relation network can be developed.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

Sign in / Sign up

Export Citation Format

Share Document