Please wait ...
0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Investigation of topological characteristics of Iranian railway network: A network science approach
Authors :
Sina Firuzbakht
1
Mohammad Khansari
2
1- University of Tehran
2- University of Tehran
Keywords :
network analysis, railway network, complex network, network science, small world phenomenon, vulnerability
Abstract :
In this paper, we study the Iranian railway network as a complex network so that train stations form network nodes and a direct route between two stations of network edges. With the help of investigating the topological characteristics of the network, such as betweenness centrality, we found vulnerable stations and routes. Then, by finding the degree distribution, diameter, and average path length of the railway network, we have examined the existence or non-existence of the small world phenomenon in the network After realizing that there is no small world phenomenon in Iran's railway network, we concluded that the gradual development of Iran's railway network not based on economic optimization and economic or political or regional factors played a more important role in its development.
Papers List
List of archived papers
A Stacking Ensemble Framework for Ransomware Detection on the Bitcoin Blockchain Using Transaction Graph Analytics
Mohammad Mobin Teymourpour - Parsa Hedayatnia - Mohammad Allahbakhsh - Haleh Amintoosi
FedFog: A Serverless and Privacy-Aware Federated Learning Simulator for Edge–Fog Networks
Seyed Vahid Hashemi Nik - Seyed Mohammad Mahdi Asaadi - Somayeh Sobati-M
Mitochondrial Segmentation in Microscopy Images Using UNet-VGG19
Zerek Sediq Hossein - Rojiar Pir Mohammadiani - Saadat Izadi
New Design of Efficient Reversible Quantum Saturation Adder
Negin Mashayekhi - Mohammad Reza Reshadinezhad - Shekoofeh Moghimi
Adaptive Pronunciation Scoring: Aligning Automated Assessments with Human Expert Evaluations
Omid Aghdaei - Mohammad Sadegh Safari - Mohammad Hassan Rasoolizadeh - Abedeh Mirzaee
Capsule Routing over Stacked GCN-GAT Embeddings with Negative Sampling for Graph Link Prediction
Fatemeh Safari Sarvandi - Sayeh Mirzaei - Rooholah Abedian
Vaccine Distribution Modelling in Pandemics through Multi-Agent Systems: COVID-19 Case
Hossein Yarahmadi - Mohammad Ebrahim Shiri - Hamid Reza Navidi - Arash Sharifi - Moharram Challenger - Hassan Piriaei
Multi-Task Transformer for Stock Market Trend Prediction
Seyed Morteza Mirjebreili - Ata Solouki - Hamidreza Soltanalizadeh - Mohammad Sabokrou
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
Pouya Shaeri - Ali Katanforoush
Chaotic multi-population ABC algorithm based on memory and levy flight for solving dynamic job shop scheduling problems
Mohammad Ali Zarif - Javad Hamidzadeh
more
Samin Hamayesh - Version 44.12.3