Social capital on social networking sites: A social network perspective

N Sánchez-Arrieta, RA González, A Cañabate… - Sustainability, 2021 - mdpi.com
Although social capital has been researched from many approaches and attempts have
been made to measure it online, the literature lacks an operational description that would …

The role of intelligent technologies in early detection of autism spectrum disorder (asd): A scoping review

M Kohli, AK Kar, S Sinha - IEEE Access, 2022 - ieeexplore.ieee.org
Background: Two-year delay is reported between the first developmental concern raised by
the parents and the diagnosis of ASD (Autism Spectrum Disorder), delaying the start of early …

Efficient algorithms based on centrality measures for identification of top-k influential users in social networks

M Alshahrani, Z Fuxi, A Sameh, S Mekouar… - Information Sciences, 2020 - Elsevier
The problem of influence maximization has grown in popularity and interest in recent
decades due to its valuable application in various fields. This problem mainly focuses on …

Efficient parallel computing on the game theory-aware robust influence maximization problem

Y Gong, S Liu, Y Bai - Knowledge-Based Systems, 2021 - Elsevier
Influence maximization (IM) is a problem of finding the most influential nodes with limited
budgets under the given propagation model, which finally maximizes the spread of influence …

Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem

X Zhou, R Zhang, K Yang, C Yang, T Huang - Neurocomputing, 2020 - Elsevier
Influence maximization problem is the procedure of attempting to identify a group of K nodes
in a social network in order to maximize the dissemination of influence under certain …

Influence maximization in independent cascade networks based on activation probability computation

W Yang, L Brenner, A Giua - IEEE Access, 2019 - ieeexplore.ieee.org
Based on the concepts of “word-of-mouth” effect and viral marketing, the diffusion of an
innovation may be triggered starting from a set of initial users. Estimating the influence …

What-if analysis with conflicting goals: Recommending data ranges for exploration

QVH Nguyen, K Zheng, M Weidlich… - 2018 IEEE 34th …, 2018 - ieeexplore.ieee.org
What-if analysis is a data-intensive exploration to inspect how changes in a set of input
parameters of a model influence some outcomes. It is motivated by a user trying to …

Knapsack-based reverse influence maximization for target marketing in social networks

A Talukder, CS Hong - Proceedings of the 34th ACM/SIGAPP …, 2019 - dl.acm.org
With the proliferation of social networks, the Influence Maximization (IM), which identifies the
influential users for target marketing, gains enormous research interest in recent years …

RLIM: representation learning method for influence maximization in social networks

C Sun, X Duan, L Qiu, Q Shi, T Li - International Journal of Machine …, 2022 - Springer
A core issue in influence propagation is influence maximization, which aims to find a set of
nodes that maximize influence spread by adopting a specific information diffusion model …

Cascading fault analysis and control strategy for computer numerical control machine tools based on meta action

G Huang, B Chen, L Xiao, Y Ran, G Zhang - Ieee Access, 2019 - ieeexplore.ieee.org
Cascading faults of computer numerical control machine tools will lead to frequent machine
faults, but an effective fault analysis and control strategy can significantly reduce the …