Influence analysis in social networks: A survey
Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …
indispensable technique supporting these practical applications. In recent years, this …
Community-diversified influence maximization in social networks
To meet the requirement of social influence analytics in various applications, the problem of
influence maximization has been studied in recent years. The aim is to find a limited number …
influence maximization has been studied in recent years. The aim is to find a limited number …
Target-aware holistic influence maximization in spatial social networks
Influence maximization has recently received significant attention for scheduling online
campaigns or advertisements on social network platforms. However, most studies only focus …
campaigns or advertisements on social network platforms. However, most studies only focus …
Depression intensity estimation via social media: A deep learning approach
Depression has become a big problem in our society today. It is also a major reason for
suicide, especially among teenagers. In the current outbreak of coronavirus disease (COVID …
suicide, especially among teenagers. In the current outbreak of coronavirus disease (COVID …
LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data
As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …
becomes possible and reliable, which makes it possible to mine useful and significant …
Enabling trusted and privacy-preserving healthcare services in social media health networks
W Tang, J Ren, Y Zhang - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
Social Media Health Networks provide a promising paradigm to attract patients to share and
communicate their personal health status with other online patients, and consult healthcare …
communicate their personal health status with other online patients, and consult healthcare …
Survey of text document summarization based on ensemble topic vector clustering model
G Bharathi Mohan, R Prasanna Kumar - IoT Based Control Networks and …, 2022 - Springer
Text document analysis has recently emerged as a promising strategy in content
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …
Most influential community search over large social networks
Detecting social communities in large social networks provides an effective way to analyze
the social media users' behaviors and activities. It has drawn extensive attention from both …
the social media users' behaviors and activities. It has drawn extensive attention from both …
Geo-social influence spanning maximization
Influence maximization is a recent but well-studied problem which helps identify a small set
of users that are most likely to “influence” the maximum number of users in a social network …
of users that are most likely to “influence” the maximum number of users in a social network …
Research on trend prediction of internet user intention understanding and public intelligence mining based on fractional differential method
S Wu, Q Zhang, W Chen, J Liu, L Liiu - Chaos, Solitons & Fractals, 2019 - Elsevier
With the rapid development of Internet technology, network users and data are also rapidly
accumulating, which leads to significant asymmetry between user needs and massive …
accumulating, which leads to significant asymmetry between user needs and massive …