Intelligent Social Network Modeling and Analysis for Security Informatics

2008 ◽  
pp. 1-2
Author(s):  
Ronald R. Yager
Keyword(s):  
Social Network ◽  
Network Modeling ◽  
Modeling And Analysis ◽  
Social Network Modeling ◽  
Security Informatics ◽  
Network Modeling And Analysis

Autonomy-oriented proximity mobile social network modeling in smart city for emergency rescue

2021 ◽  
Vol 17 (12) ◽  
pp. 155014772110612
Author(s):  
Zhao Chunxiao ◽  
Guo Junjie
Keyword(s):  
Social Network ◽  
Network Model ◽  
Smart City ◽  
Disaster Relief ◽  
Network Modeling ◽  
Mobile Social Network ◽  
Emergency Rescue ◽  
Routing Strategy ◽  
Social Network Modeling ◽  
Post Disaster

Nearest neighbor mobile social network means that movers approaching in position communicate through their social sensors, which is called Proximity Mobile Social Network. Proximity Mobile Social Network can provide more social and business opportunities for users. To carry out disaster relief work in post-disaster environment, we need to collect incident information during the search process and report to the sink in time. Proximity Mobile Social Network provides flexible systems for emergency handling and disaster relief. Therefore, how to find a better data forwarding and routing strategy is the key problem of post-disaster rescue, and the research of user mobility model is the basis of the above problems. This article presents an Autonomy-Oriented Proximity Mobile Social Network modeling for emergency rescue in smart city, which simulates the network operating environment. First, we verify the performance of Autonomy-Oriented Proximity Mobile Social Network model in terms of self-organization, scale-free, aggregation, and community structure. Then, the rescue efficiency is discussed through the coverage of mobile sensors. Finally, performance of the routing strategy based on Autonomy-Oriented Proximity Mobile Social Network model is analyzed, and the effectiveness of the method is proved.

scholarly journals Innovative Spatial-Temporal Network Modeling and Analysis Method of Air Quality

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 26241-26254 ◽  
Author(s):  
Guyu Zhao ◽  
Guoyan Huang ◽  
Hongdou He ◽  
Qian Wang
Keyword(s):  
Air Quality ◽  
Network Modeling ◽  
Temporal Network ◽  
Analysis Method ◽  
Modeling And Analysis ◽  
Network Modeling And Analysis

scholarly journals Group Measures and Modeling for Social Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Vincent Levorato
Keyword(s):  
Complex System ◽  
Social Networks ◽  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Modeling ◽  
Complex Interactions ◽  
Social Network Modeling

Social network modeling is generally based on graph theory, which allows for study of dynamics and emerging phenomena. However, in terms of neighborhood, the graphs are not necessarily adapted to represent complex interactions, and the neighborhood of a group of vertices can be inferred from the neighborhoods of each vertex composing that group. In our study, we consider that a group has to be considered as a complex system where emerging phenomena can appear. In this paper, a formalism is proposed to resolve this problematic by modeling groups in social networks using pretopology as a generalization of the graph theory. After giving some definitions and examples of modeling, we show how some measures used in social network analysis (degree, betweenness, and closeness) can be also generalized to consider a group as a whole entity.

Doubly threshold graphs for social network modeling

2016 ◽  
Author(s):  
Vida Ravanmehr ◽  
Sadegh Bolouki ◽  
Gregory J. Puleo ◽  
Olgica Milenkovic
Keyword(s):  
Social Network ◽  
Network Modeling ◽  
Threshold Graphs ◽  
Social Network Modeling
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