[HTML][HTML] The development of brain network hubs
Some brain regions have a central role in supporting integrated brain function, marking them
as network hubs. Given the functional importance of hubs, it is natural to ask how they …
as network hubs. Given the functional importance of hubs, it is natural to ask how they …
Opinion leader detection: A methodological review
SMH Bamakan, I Nurgaliev, Q Qu - Expert Systems with Applications, 2019 - Elsevier
A social network as an essential communication platform facilitates the interactions of online
users. Based on the interactions, users can influence or be affected by the opinions of …
users. Based on the interactions, users can influence or be affected by the opinions of …
Consistency and differences between centrality measures across distinct classes of networks
The roles of different nodes within a network are often understood through centrality
analysis, which aims to quantify the capacity of a node to influence, or be influenced by …
analysis, which aims to quantify the capacity of a node to influence, or be influenced by …
The dynamics of an online learning community in a hybrid statistics classroom over time: Implications for the question-oriented problem-solving course design with the …
JY Wu, MW Nian - Computers & Education, 2021 - Elsevier
This study applied the question-oriented problem-solving (QOPS) pedagogy in Statistics
learning and addressed several methodological and theoretical gaps in SNA studies to …
learning and addressed several methodological and theoretical gaps in SNA studies to …
A systematic survey of centrality measures for protein-protein interaction networks
M Ashtiani, A Salehzadeh-Yazdi… - BMC systems …, 2018 - Springer
Background Numerous centrality measures have been introduced to identify “central” nodes
in large networks. The availability of a wide range of measures for ranking influential nodes …
in large networks. The availability of a wide range of measures for ranking influential nodes …
Comparative evaluation of community-aware centrality measures
Influential nodes play a critical role in boosting or curbing spreading phenomena in complex
networks. Numerous centrality measures have been proposed for identifying and ranking …
networks. Numerous centrality measures have been proposed for identifying and ranking …
Characterizing the interactions between classical and community-aware centrality measures in complex networks
Identifying vital nodes in networks exhibiting a community structure is a fundamental issue.
Indeed, community structure is one of the main properties of real-world networks. Recent …
Indeed, community structure is one of the main properties of real-world networks. Recent …
An informal institution comparative study of occupational safety knowledge sharing via French and English Tweets: Languaculture, weak-strong ties and AI sentiment …
To study the social structure of English and French Tweets of occupational safety and their
sentiment distributions, this study applied NodeXL and MeaningCloud to analyse 17,147 …
sentiment distributions, this study applied NodeXL and MeaningCloud to analyse 17,147 …
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 …
decades due to its valuable application in various fields. This problem mainly focuses on …
Integrated value of influence: an integrative method for the identification of the most influential nodes within networks
Biological systems are composed of highly complex networks, and decoding the functional
significance of individual network components is critical for understanding healthy and …
significance of individual network components is critical for understanding healthy and …