International Conference on Computer and Knowledge Engineering

Home / 11th International Conference on Computer and Knowledge Engineering

Investigation of topological characteristics of Iranian railway network: A network science approach

Authors :

Sina Firuzbakht¹ Mohammad Khansari²

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.

List of archived papers

AL-YOLO: Accurate and Lightweight Vehicle and Pedestrian Detector in Foggy Weather

Behdad Sadeghian Pour - Hamidreza Mohammadi Jozani - Shahriar Baradaran Shokouhi

Uncertainty-Aware Deep Ensembles for Confident Customer Churn Prediction with Rejection Option

Fatemeh Moradi - Mehran Tarif - Mohammadhossein Homaei

A Cloud Broker with Gap Analysis Perspective for Scheduling Multi-Workflows Across On-Demand and Reserved Resources

Negin Shafinezhad - Hamidreza Abrishami - Saeid Abrishami

Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition

Hamid Ahmadabadi - Omid Nejati Manzari - Ahmad Ayatollahi

Extracting Major Topics of COVID-19 Related Tweets

Faezeh Azizi - Hamed Vahdat-Nejad - Hamideh Hajiabadi - Mohammad Hossein Khosravi

Intracranial Hemorrhage Classification using CBAM Attention Module and Convolutional Neural Networks

Parnian Rahimi - Marjan Naderan - Amir Jamshidnezhad - Shahram Rafie

Cross-project Defect Prediction with An Enhanced Transfer Boosting Algorithm

Nazgol Nikravesh - Mohammad Reza Keyvanpour

A Synergistic Hybrid Architecture with Residual Attention and Mixture-of-Experts for Robust Hour-Ahead Forex Forecasting

Alireza Abbaszadeh - Seyyed Abed Hosseini - Mohammad Reza Akbarzadeh Totonchi

Age Estimation Based on Facial Images Using Hybrid Features and Particle Swarm Optimization

NILOUFAR MEHRABI - SAYED PEDRAM HAERI BOROUJENI

EpiGraph: Anomaly Detection in Contact Networks for Early Disease Outbreak Prediction

Abolfazl Zarghani

more

Samin Hamayesh - Version 43.7.0