Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective

A Ullah, SU Din, N Khan, CB Mawuli, J Shao - Information Fusion, 2024 - Elsevier
Influencers in complex social networks are crucial for sha** the dynamics of information
dissemination, viral marketing strategies, and controlling public opinion. This raises an …

Detailed-level modelling of influence spreading on complex networks

V Kuikka, KK Kaski - Scientific Reports, 2024 - nature.com
The progress in high-performance computing makes it increasingly possible to build
detailed models to investigate spreading processes on complex networks. However, current …

[HTML][HTML] Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach

M Stolarski, A Piróg, P Bródka - Entropy, 2024 - mdpi.com
The identification of key nodes in complex networks is an important topic in many network
science areas. It is vital to a variety of real-world applications, including viral marketing …

Identifying influential nodes in complex networks by adjusted feature contributions and neighborhood impact

S Esfandiari, SM Fakhrahmad - The Journal of Supercomputing, 2025 - Springer
Determining the spreading ability of nodes is considered a fundamental issue in network
science, with numerous applications in controlling system failure, rumors spreading, and …

Revisiting neighbourhood proximity based algorithm for overlap** community detection in weighted networks

A Kumar, P Kumar, R Dohare - Social Network Analysis and Mining, 2024 - Springer
A network is an indispensable tool for studying complex systems and large data. Any
systems or data could be partitioned into components based on traits. This could be …

News dissemination: a semantic approach to barrier classification

A Sittar, D Mladenić, M Grobelnik - Journal of Intelligent Information …, 2024 - Springer
The dissemination of information worldwide is significantly facilitated by the news media,
with many events having global relevance across various regions. However, certain news …

Influential users identification under the non-progressive LTIRS model

K Devi, R Tripathi - Knowledge and Information Systems, 2024 - Springer
Identification of the key influencers is one of the most important strategies for initiating any
transmission process in a social network. However, many of the current studies on influence …

[HTML][HTML] Measuring the Inferential Values of Relations in Knowledge Graphs

X Zhang, X Kang, H Yao, L Dong - Algorithms, 2024 - mdpi.com
Knowledge graphs, as an important research direction in artificial intelligence, have been
widely applied in many fields and tasks. The relations in knowledge graphs have explicit …

A hybrid recognition framework of crucial seed spreaders in complex networks with neighborhood overlap

T Tong, M Wang, W Yuan, Q Dong, J Sun… - Journal of Intelligent …, 2024 - Springer
Recognizing crucial seed spreaders of complex networks is an open issue that studies the
dynamic spreading process and analyzes the performance of networks. However, most of …

Mining Influential Spreaders in Complex Networks by an Effective Combination of the Degree and K-Shell

S Esfandiari, SM Fakhrahmad - 2024 20th CSI International …, 2024 - ieeexplore.ieee.org
Graph mining is an important technique that used in many applications such as predicting
and understanding behaviors and information dissemination within networks. One crucial …