Graph theory: A comprehensive survey about graph theory applications in computer science and social networks
A Majeed, I Rauf - Inventions, 2020 - mdpi.com
Graph theory (GT) concepts are potentially applicable in the field of computer science (CS)
for many purposes. The unique applications of GT in the CS field such as clustering of web …
for many purposes. The unique applications of GT in the CS field such as clustering of web …
Influence blocking maximization on networks: Models, methods and applications
Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …
analysis has aroused great interest of the researchers. Based on different influence …
Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features
Depression is a mental disorder that continues to make life difficult or impossible for a
depressed person and, if left untreated, can lead to dangerous activities such as self-harm …
depressed person and, if left untreated, can lead to dangerous activities such as self-harm …
Accelerating new product diffusion: How lead users serve as opinion leaders in social networks
N Wang, W **e, V Tiberius, Y Qiu - Journal of Retailing and Consumer …, 2023 - Elsevier
In social networks or, more specifically, online communities on tech-products, opinion
leaders are important sources of advice for other consumers in the adoption and diffusion of …
leaders are important sources of advice for other consumers in the adoption and diffusion of …
Fashion influencers on Instagram: Determinants and impact of opinion leadership on female millennial followers
S Jegham, R Bouzaabia - Journal of Consumer Behaviour, 2022 - Wiley Online Library
In the fashion industry, the effectiveness of influencer marketing, known as “opinion leaders,”
via Instagram remains little known to brand managers and scholars despite the frequent use …
via Instagram remains little known to brand managers and scholars despite the frequent use …
Early-stage Alzheimer's disease categorization using PET neuroimaging modality and convolutional neural networks in the 2D and 3D domains
Alzheimer's Disease (AD) is a health apprehension of significant proportions that is
negatively impacting the ageing population globally. It is characterized by neuronal loss and …
negatively impacting the ageing population globally. It is characterized by neuronal loss and …
A trustworthy siot aware mechanism as an enabler for citizen services in smart cities
In the recent era, new information technologies have a significant impact on social networks.
Initial integration of information and communication technologies (ICT) into city operations …
Initial integration of information and communication technologies (ICT) into city operations …
[HTML][HTML] Identifying the influential nodes in complex social networks using centrality-based approach
Estimating the importance of nodes in complex social networks is significant for
understanding the robustness and stability of a network such as preventing the spread of …
understanding the robustness and stability of a network such as preventing the spread of …
Identification of influential users on Twitter: A novel weighted correlated influence measure for Covid-19
In the era of advanced mobile technology, freedom of expression over social media has
become prevalent among online users. This generates a huge amount of communication …
become prevalent among online users. This generates a huge amount of communication …
Identifying and ranking super spreaders in real world complex networks without influence overlap
In the present-days complex networks modeled on real-world data contain millions of nodes
and billions of links. Identifying super spreaders in such an extensive network is a …
and billions of links. Identifying super spreaders in such an extensive network is a …