Identifying influential nodes in heterogeneous networks

S Molaei, R Farahbakhsh, M Salehi, N Crespi - Expert Systems with …, 2020 - Elsevier
Identifying influential users and measure the influence of nodes in social networks have
become an interesting and important topic of research. It is crucial to find out to what extent …

Time-sensitive propagation values discount centrality measure

S Mokhtarzadeh, B Zamani Dehkordi, M Mosleh… - Computing, 2024 - Springer
The detection of influential individuals in social networks is called influence maximization
which has many applications in advertising and marketing. Several factors including …

[PDF][PDF] Influence maximization using time delay based harmonic centrality in social networks

S Mokhtarizadeh, B Zamani Dehkordi… - Tabriz Journal of …, 2021 - journals.tabrizu.ac.ir
With the extension of social networks, research on influence maximization (IM) in time-
sensitive graphs has increased in recent years. IM is a problem to find a seed set with k …

DeepPick: a deep learning approach to unveil outstanding users with public attainable features

W Li, Z Xu, Y Sun, Q Gong, Y Chen… - … on Knowledge and …, 2021 - ieeexplore.ieee.org
Outstanding users (OUs) denote the influential,“core” or “bridge” users in online social
networks. How to accurately detect and rank them is an important problem for third-party …

[PDF][PDF] Milind Tiwari

K Kumar, A Gepp - 2021 - academia.edu
The rise in financial crimes has resulted in a wide range of regulatory reforms to combat the
problem. The failure of regulations to accomplish the desired objectives has brought …

Pragmatic studies of diffusion in social networks

BD Deebak, SS Roy, S Kathiravan - Security in IoT Social Networks, 2021 - Elsevier
Social networks enhance the appearance of community tools based on web applications
that provide a reliable connection to the shared information effectively. Owing to the …