International Conference on Computer and Knowledge Engineering

Please wait ...

Home / 12th International Conference on Computer and Knowledge Engineering

Maximum diffusion of news in social media with the approach of reducing the search space

Authors :

Masoud Karian¹

1- Maziar Higher Education Institute, Mazandaran, Iran

Keywords :

influence maximization،influential nodes،centrality،closeness،eigenvector

Abstract :

Identification of nodes that spread influence is one of the important aspects of social network analysis. These nodes are used for maximizing influence in social networks. Influence maximization is basically an NP-Hard problem. This issue, with large-scale data, faces many challenges such as accuracy and efficiency. This paper offers a new approach in this area, named RSP (Reducing search space in influence maximization Problem). This algorithm selects influential nodes based on centralities and shells of social networks. The nodes in the shortest path are of great importance in the RSP algorithm. Unlike other algorithms, this algorithm does not ignore low-degree nodes. Experimental results show that the proposed algorithm works better than RNR, MCGN, LMP, and LIR on influence spread and maintains the quality of the results in every way.

List of archived papers

Enhancing Cloud Security with Federated CNN-LSTM: A Novel Approach to Intrusion Detection

Reyhaneh Ilaghi - Raheleh Ilaghi - Fereshteh Rahmani - Seyyed hamid Ghafoori

Deep Learning-Driven Beamforming Optimization for High-Performance 5G Planar Antenna Arrays

Rahman Mohammadi - Seyed Reza Razavi Pour

An Interactive Approach for Query-based Multi-Document Scientific Text Summarization

Mohammadsadra Nejati - Azadeh Mohebi - Abbas Ahmadi

A novel hybrid DMHS-GMDH algorithm to predict COVID-19 pandemic time series

Ahmad Taheri - Shahriar Ghashghaei - Amin Beheshti - Keyvan RahimiZadeh

A 2D-CNN Architecture for Improving the Classification Accuracy of an Electronic Nose with Different Sensor Positions

Hannaneh Mahdavi - Reza Goldoust - Saeideh Rahbarpour

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

Fatemeh Moradi - Mehran Tarif - Mohammadhossein Homaei

A Review on Secure Data Storage and Data Sharing Technics in Blockchain-based IoT Healthcare Systems

Seyedeh Somayeh Fatemi Nasab - Davoud Bahrepour - Seyed Reza Kamel Tabbakh

Automated Person Identification from Hand Images\\using Hierarchical Vision Transformer Network

Zahra Ebrahimian - Seyed Ali Mirsharji - Ramin Toosi - Mohammad Ali Akhaee

Improving performance of multi-label classification using ensemble of feature selection and outlier detection

Mohammad Ali Zarif - Javad Hamidzadeh

Ensemble-Based Fraud Detection: A Robust Approach Evaluated on IEEE-CIS

Fatemeh Moradi - Mehran Tarif - Mohammadhossein Homaei

more

Samin Hamayesh - Version 44.12.3