activity
20182024
most citedThe detection of professional fraud in automobile insurance using social network analysis

12 citations · 42 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SI2024★ 1 cited

Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach

Mohammad Heydari, Babak Teimourpour

The rise of the Internet and the exponential increase in data have made manual data summarization and analysis a challenging task. Instagram social network is a prominent social ne…

cs.SI2023

Graph Representation Learning Towards Patents Network Analysis

Mohammad Heydari, Babak Teimourpour

Patent analysis has recently been recognized as a powerful technique for large companies worldwide to lend them insight into the age of competition among various industries. This t…

cs.IR2023★ 4 cited

A Food Recommender System in Academic Environments Based on Machine Learning Models

Abolfazl Ajami, Babak Teimourpour

Background: People's health depends on the use of proper diet as an important factor. Today, with the increasing mechanization of people's lives, proper eating habits and behaviors…

q-bio.MN2021★ 1 cited

Cancer driver gene detection in transcriptional regulatory networks using the structure analysis of weighted regulatory interactions

Mostafa Akhavan Safar, Babak Teimourpour, Abbas Nozari-Dalini

Identification of genes that initiate cell anomalies and cause cancer in humans is among the important fields in the oncology researches. The mutation and development of anomalies…

q-bio.MN2020★ 8 cited

KatzDriver: A network Based method to predict cancer causal genes in GR Network

Mostafa Akhavansafar, Babak Teimourpour

One of the important issues in oncology is finding the genes that perturbation the cell functionality, and result in cancer propagation. The genes, namely driver genes, when they m…

cs.SI2020★ 5 cited

Analysis of ResearchGate, A Community Detection Approach

Mohammad Heydari, Babak Teimourpour

We are living in the data age. Communications over scientific networks creates new opportunities for researchers who aim to discover the hidden pattern in these huge repositories.…