Joint content replication and request routing for social video distribution over cloud CDN: A community clustering method
The increasing popularity of online social networks (OSNs) has been transforming the
dissemination pattern of social video contents. We can utilize the social information …
dissemination pattern of social video contents. We can utilize the social information …
Adapting k-means for graph clustering
S Sieranoja, P Fränti - Knowledge and Information Systems, 2022 - Springer
We propose two new algorithms for clustering graphs and networks. The first, called K‑
algorithm, is derived directly from the k-means algorithm. It applies similar iterative local …
algorithm, is derived directly from the k-means algorithm. It applies similar iterative local …
Algorithms and applications for community detection in weighted networks
Community detection is an important issue due to its wide use in designing network
protocols such as data forwarding in Delay Tolerant Networks (DTN) and worm containment …
protocols such as data forwarding in Delay Tolerant Networks (DTN) and worm containment …
A two-step vaccination technique to limit COVID-19 spread using mobile data
MM Jadidi, S Jamshidiha, I Masroori, P Moslemi… - Sustainable Cities and …, 2021 - Elsevier
Vaccination is one of the most effective methods to prevent the spread of infectious
diseases, but due to limitations in vaccines' availability, especially when faced with a new …
diseases, but due to limitations in vaccines' availability, especially when faced with a new …
[HTML][HTML] Clustering diagnoses from 58 million patient visits in Finland between 2015 and 2018
P Fränti, S Sieranoja, K Wikström… - JMIR Medical …, 2022 - medinform.jmir.org
Background Multiple chronic diseases in patients are a major burden on the health service
system. Currently, diseases are mostly treated separately without paying sufficient attention …
system. Currently, diseases are mostly treated separately without paying sufficient attention …
A review on community detection algorithms and evaluation measures in social networks
P Ponveni, J Visumathi - 2021 7th International Conference on …, 2021 - ieeexplore.ieee.org
Social networks involve interactions among multiple types of entities, so it is becoming the
most popular and emerging area for researchers. The connection between entities brings …
most popular and emerging area for researchers. The connection between entities brings …
Information diffusion in mobile social networks: The speed perspective
The emerging of mobile social networks opens opportunities for viral marketing. However,
before fully utilizing mobile social networks as a platform for viral marketing, many …
before fully utilizing mobile social networks as a platform for viral marketing, many …
Discriminative metric learning for multi-view graph partitioning
In recent years, multi-view graph partitioning has attracted more and more attention, but
most efforts have been made to develop graph partitioning approaches directly in the …
most efforts have been made to develop graph partitioning approaches directly in the …
Towards information diffusion in mobile social networks
The emerging of mobile social networks opens opportunities for viral marketing. However,
before fully utilizing mobile social networks as a platform for viral marketing, many …
before fully utilizing mobile social networks as a platform for viral marketing, many …
Critical component analysis in cascading failures for power grids using community structures in interaction graphs
U Nakarmi, M Rahnamay-Naeini… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cascading phenomena have been studied extensively in various networks. Particularly, it
has been shown that the community structures in networks impact their cascade processes …
has been shown that the community structures in networks impact their cascade processes …