A Novel Emergence Model of Public Opinion Based on Small-World Network

2011 ◽  
Vol 474-476 ◽  
pp. 2263-2268 ◽  
Author(s):  
Yu Wu ◽  
Yuan Yao ◽  
Li Wang
Keyword(s):  
Complex System ◽  
Public Opinion ◽  
Small World ◽  
Model Parameters ◽  
Small World Network ◽  
World Model ◽  
System Parameters ◽  
Emergent Computation ◽  
Internet Users ◽  
Simulation Results

From the view of complex networks and emergent computation, a new emergence model of public opinion is built. It is based on small-world model, and takes Internet users as agents. Then the system parameters and realistic interactions in this model are set. Simulation results show that our model can demonstrate the whole evolution process of formed or unformed public opinion. The formation evolution of public opinion is in accordance with the real network of public opinion. We can get all kinds of public opinion forms via setting different model parameters. By comparing with the existing network model, there is an obvious advantage for the interaction rules and forms in our model, and it is realistic and reasonable. As a new model for the complex system, it can be used as one of the objects for studying the network behaviors and emergent computation.

A Small World Routing Protocol in Wireless Sensor Networks

2011 ◽  
Vol 474-476 ◽  
pp. 828-833
Author(s):  
Wen Jun Xu ◽  
Li Juan Sun ◽  
Jian Guo ◽  
Ru Chuan Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Small World ◽  
Wireless Sensor ◽  
Small World Network ◽  
Average Delay ◽  
Network Diameter ◽  
Simulation Results

In order to reduce the average path length of the wireless sensor networks (WSNs) and save the energy, in this paper, the concept of the small world is introduced into the routing designs of WSNs. So a new small world routing protocol (SWRP) is proposed. By adding a few short cut links, which are confined to a fraction of the network diameter, we construct a small world network. Then the protocol finds paths through recurrent propagations of weak and strong links. The simulation results indicate that SWRP reduces the energy consumption effectively and the average delay of the data transmission, which leads to prolong the lifetime of both the nodes and the network.

ISW

2012 ◽  
Vol 4 (4) ◽  
pp. 26-40
Author(s):  
Jinlong Zeng ◽  
Guifeng Zheng
Keyword(s):  
Small World ◽  
Clustering Coefficient ◽  
P2p Network ◽  
Small World Network ◽  
Challenging Problem ◽  
P2p Networks ◽  
User Interest ◽  
Unstructured P2p Network ◽  
Simulation Results ◽  
Unstructured P2p

Content location in unstructured peer-to-peer (P2P) networks is a challenging problem. In this paper, the authors present a novel Interest-based Small World (ISW) network to address the problem, by constructing a cluster overlay in the unstructured P2P network based on the small world paradigm and user interest. There are many attractive properties of a small world network, such as low average hop distance and high clustering coefficient. Interest locality can improve the awareness of user’s indeed intentions. The authors’ scheme combines their advantage to create a better solution. The simulation results show that our scheme outperforms other schemes significantly.

Research on Small-World Network Communication of Public Sentiment by Self-Media Based on Energy Model

2021 ◽  
Vol 105 ◽  
pp. 249-262
Author(s):  
Hui Zi Zhou ◽  
Xue Wei Li
Keyword(s):  
Public Opinion ◽  
New Media ◽  
Evolutionary Process ◽  
Small World ◽  
Energy Model ◽  
The Self ◽  
Energy Calculation ◽  
Small World Network ◽  
Public Sentiment ◽  
Network Communications

The network of public opinion in self-media has played a significant role in social security and stability and has become the dominant force in the current public opinion field. The traditional media sensations are being gradually replaced by the self-media consensus as represented by new media platforms such as We-chart and Weibo, and this is due to the development of wireless network technology and the proliferation of smartphone users. Therefore, this paper discusses the small-world network attributes of public communications in self-media by addressing the criteria of small-world network communications. It constructs the energy model of public communications in a self-media network, introduces the thermal energy calculation equation, takes the “Liu Guo Liang’s resignation event” as an example and simulates the evolutionary process of public communications in a self-media network. The experimental results show that the key users in self-media play critical roles in the evolution of hot topics and promote the evolution of public communications in self-media. Furthermore, the peak of the self-media consensus dissemination is affected by the initial heats and transmission probabilities of hot topics. All these factors promote the polarization of public opinion transmissions in a self-media network.

Parameter Estimation for Systems With Randomly Missing Output Under Network Environment

2008 ◽  
Author(s):  
Yang Shi ◽  
Huazhen Fang
Keyword(s):  
Parameter Estimation ◽  
Kalman Filter ◽  
Packet Loss ◽  
Time Delays ◽  
Model Parameters ◽  
Network Environment ◽  
System Parameters ◽  
Data Missing ◽  
Simulation Results ◽  
Estimate System

In this paper, we study how to identify the model parameters of a plant with randomly missing output in a network environment. As a result of networked-induced time delays and packet loss, the identification is inevitable to be affected by data missing. We propose to online estimate the missing output measurements, and employ the Kalman filter to estimate system parameters recursively. Convergence analysis on parameter estimation and output estimation is carried out. Simulation results verify the effectiveness of the proposed algorithm.

scholarly journals The Public Opinion Control Model Based on the Connecting Multi-Small-World-Network

2013 ◽  
Vol 6 (17) ◽  
pp. 3289-3298 ◽  
Author(s):  
Wen-Qi Zhong ◽  
Yuan-Biao Zhang ◽  
Hui-Feng Shan ◽  
Wei-Xia Luan
Keyword(s):  
Public Opinion ◽  
Small World ◽  
Control Model ◽  
Small World Network ◽  
The Public ◽  
Model Based

The optimal synchronizability of complex networks with saturated coupling strength

2020 ◽  
Vol 31 (10) ◽  
pp. 2050139
Author(s):  
Chen Huang ◽  
Xinbiao Lu ◽  
Jun Zhou ◽  
Buzhi Qin
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Network Topology ◽  
Coupling Strength ◽  
Small World ◽  
Pso Algorithm ◽  
Small World Network ◽  
Swarm Optimization ◽  
Edge Betweenness ◽  
Simulation Results

For networks with fixed network topology, when the total coupling strength between nodes is limited and the coupling strength between nodes is saturated, the global optimization algorithms including genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to adjust the coupling strength between nodes to improve the synchronizability of the network, respectively. Simulation results show that in WS small-world network, when the edge betweenness centrality of the edge is large, the coupling strength of the edge after optimization is greater. Furthermore, compared with GA, PSO has better performance.

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