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Towards investigating influencers in complex social networks using electric potential concept from a centrality perspective
Influencers in complex social networks are crucial for sha** the dynamics of information
dissemination, viral marketing strategies, and controlling public opinion. This raises an …
dissemination, viral marketing strategies, and controlling public opinion. This raises an …
Detailed-level modelling of influence spreading on complex networks
The progress in high-performance computing makes it increasingly possible to build
detailed models to investigate spreading processes on complex networks. However, current …
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
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 …
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
Determining the spreading ability of nodes is considered a fundamental issue in network
science, with numerous applications in controlling system failure, rumors spreading, and …
science, with numerous applications in controlling system failure, rumors spreading, and …
Revisiting neighbourhood proximity based algorithm for overlap** community detection in weighted networks
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 …
systems or data could be partitioned into components based on traits. This could be …
News dissemination: a semantic approach to barrier classification
The dissemination of information worldwide is significantly facilitated by the news media,
with many events having global relevance across various regions. However, certain news …
with many events having global relevance across various regions. However, certain news …
Influential users identification under the non-progressive LTIRS model
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 …
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 …
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 …
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
Graph mining is an important technique that used in many applications such as predicting
and understanding behaviors and information dissemination within networks. One crucial …
and understanding behaviors and information dissemination within networks. One crucial …