[HTML][HTML] A new stochastic diffusion model for influence maximization in social networks
Most current studies on information diffusion in online social networks focus on the
deterministic aspects of social networks. However, the behavioral parameters of online …
deterministic aspects of social networks. However, the behavioral parameters of online …
[HTML][HTML] Efficiently guiding k-robots along pathways with minimal turns
H Hoorfar, N Taheri, H Kosarirad… - … Transactions on AI and …, 2023 - publications.eai.eu
INTRODUCTION: This paper addresses the navigation of a team of k protector robots within
pathways, focusing on minimizing the total number of turns. These robots utilize orthogonal …
pathways, focusing on minimizing the total number of turns. These robots utilize orthogonal …
Securing Pathways with Orthogonal Robots
The protection of pathways holds immense significance across various domains, including
urban planning, transportation, surveillance, and security. This article introduces a …
urban planning, transportation, surveillance, and security. This article introduces a …
[HTML][HTML] Minimizing outbreak through targeted blocking for disease control: a community-based approach using super-spreader node identification
A Sheikhahmadi, M Bahrami, H Saremi - Scientific Reports, 2023 - nature.com
The COVID-19 pandemic has caused significant disruptions to the daily lives of individuals
worldwide, with many losing their lives to the virus. Vaccination has been identified as a …
worldwide, with many losing their lives to the virus. Vaccination has been identified as a …
A fast module identification and filtering approach for influence maximization problem in social networks
In this paper, we explore influence maximization, one of the most widely studied problems in
social network analysis. However, developing an effective algorithm for influence …
social network analysis. However, developing an effective algorithm for influence …
Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization
J Tang, H Zhu, J Lan, S Song, J Qu, Q Du - Social Network Analysis and …, 2023 - Springer
Influence maximization problem is to select a set of influential nodes and maximize the
influence spread of the seed set in the social networks. Greedy strategies are high time …
influence spread of the seed set in the social networks. Greedy strategies are high time …
A method based on k-shell decomposition to identify influential nodes in complex networks
BR HamaKarim, RP Mohammadiani… - The Journal of …, 2023 - Springer
Identifying the most influential nodes in complex networks is an open research issue, which
can be divided into two sub-problems: identifying and ranking the influential nodes based on …
can be divided into two sub-problems: identifying and ranking the influential nodes based on …
A Monte Carlo simulation approach to the gap-time relationship in solving scheduling problem
This article presents a study on the job shop problem, a combinatorial optimization problem
that models scheduling and resource allocation in industrial settings. The article aims to …
that models scheduling and resource allocation in industrial settings. The article aims to …
Exploiting community and structural hole spanner for influence maximization in social networks
X Li, Z Chen - Expert Systems, 2023 - Wiley Online Library
Viral marketing is a frequently used social marketing strategy which aims to promote
products on various social media. In order to devise an efficient viral marketing strategy …
products on various social media. In order to devise an efficient viral marketing strategy …
A Monte Carlo simulation approach to the gap-time relationship in solving the Job Shop Scheduling Problem.
O Toragay, S Pouya - Journal of Turkish Operations …, 2023 - search.ebscohost.com
This article presents a study on the job shop problem, a combinatorial optimization problem
that models scheduling and resource allocation in industrial settings. The article aims to …
that models scheduling and resource allocation in industrial settings. The article aims to …