International Conference on Computer and Knowledge Engineering

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.

Papers List

List of archived papers

A Survey of the AVOA Metaheuristic Algorithm and its Suitability for Power System Optimization and Damping Controller Design

Aliyu Sabo - Theophilus Ebuka Odoh - Samuel Habu - Hossien Shahinzadeh - Farshad Ebrahimi

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

Atlas-based segmentation of cardiac chambers in systolic and diastolic phases of echocardiographic images

Elham Fathipour - Mahdi Saadatmand

Real-time Implementation of Fuzzy Visual Servoing for a Delta Robot via Shape and Color Detection

Nooshin Najafian - Alireza Ashrafi Majd - Abbas Ansaroudi - Sahar Aghazadeh - Manizheh Zakeri - Mohammad-Reza Sayyed Noorani

Improving Machine Learning Classification of Heart Disease Using the Graph-Based Techniques

Abolfazl Dibaji - Sadegh Sulaimany

Adaptive Ensemble Learning for Software Defect Prediction: A Dynamic Weighted Hybrid Model Using SVM, DT, and ANFIS-PSO

Mohsen EsfandyariDoulabi - Amin Esfandiyari Doulabi - Javad Khaligh

EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees

Yeganeh Modaresnia - Farhad Abedinzadeh Torghabeh - Seyyed Abed Hosseini

TCAR: Thermal and Congestion-Aware Routing Algorithm in a Partially Connected 3D Network on Chip

Majid Nezarat - Masoomeh Momeni

Delay Optimization of a Federated Learning-based UAV-aided IoT network

Hossein Mohammadi Firouzjaei - Javad Zeraatkar Moghaddam - Mehrdad Ardebilipour

Experimental evaluation and comparison of anti-pattern detection tools by the gold standard

Somayeh Kalhor - Mohammad reza Keyvanpour - Afshin Salajegheh