Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mohammad Mehdi Daliri Khomami"'
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103224- (2024)
Investigating the maximum independent set in stochastic multilayer graphs provides critical insights into the structural and dynamical properties of complex networks. Recently, stochastic multilayer graphs effectively model the intricate interactions
Externí odkaz:
https://doaj.org/article/d508a5ed0fee4b44a8dca91a7d5bafcb
Publikováno v:
Journal of Computational Design and Engineering. 9:966-991
The goore game (GG) is a model for collective decision making under uncertainty, which can be used as a tool for stochastic optimization of a discrete variable function. The GG has a fascinating property that can be resolved in a distributed manner w
Publikováno v:
The Journal of Supercomputing. 78:15181-15228
Publikováno v:
The Journal of Supercomputing. 77:2207-2236
Influence maximization (IM) problem, a fundamental algorithmic problem, is the problem of selecting a set of k users (refer as seed set) from a social network to maximize the expected number of influenced users (also known as influence spread). Due t
Autor:
Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi, Ali Mohammad Saghiri
Publikováno v:
CSICC
The dominating set (DS) problem has noticed the selecting a subset of vertices that every vertex in the graph is either is adjacent to one or more nodes of this subset. The DS with the minimum cardinality is called MDS (minimum dominating set). The M
Autor:
Alireza Rezvanian, Mohammad Reza Meybodi, Ali Mohammad Saghiri, Mohammad Mehdi Daliri Khomami
Publikováno v:
2020 11th International Conference on Information and Knowledge Technology (IKT).
Maximal clique finding is a fundamental problem in graph theory and has been broadly investigated. However, maximal clique finding is time-consuming due to its nature and always returns tremendous cliques with large overlap nodes. Hence, a solution u
Autor:
Ali Mohammad Saghiri, Alireza Rezvanian, Mohammad Reza Meybodi, Mohammad Mehdi Daliri Khomami
Publikováno v:
2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS).
Detecting community, as the fundamental task for the study of the network, reveals a hopeful approach to investigating the functional and topological properties of real networks. Recently, several algorithms for detecting community have been introduc
Autor:
Alireza Rezvanian, Mohammad Reza Meybodi, Ali Mohammad Saghiri, Mohammad Mehdi Daliri Khomami
Publikováno v:
2020 28th Iranian Conference on Electrical Engineering (ICEE).
The community detection problem in social networks has been broadly explored from different aspects. In this problem, it is attempted to divide a network into a group-set of similar nodes (communities), in which nodes inside a community structure ref
Autor:
Ali Mohammad Saghiri, Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Alireza Rezvanian
Publikováno v:
2020 6th International Conference on Web Research (ICWR).
The tremendous increase in Web usage led to the appearance of different network structures. One of the essential issues in the field of network science and engineering is to find and utilize network structures such as community structures by communit
Publikováno v:
Journal of Computational Science. 24:413-426
Community structure is one of the common and fundamental characteristics of many real-world networks such as information and social networks. The structure, function, evolution and dynamics of complex social networks can be explored through detecting