Influence analysis in social networks: A survey

S Peng, Y Zhou, L Cao, S Yu, J Niu, W Jia - Journal of Network and …, 2018 - Elsevier
Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …

Deep representation learning for social network analysis

Q Tan, N Liu, X Hu - Frontiers in big Data, 2019 - frontiersin.org
Social network analysis is an important problem in data mining. A fundamental step for
analyzing social networks is to encode network data into low-dimensional representations …

Social influence modeling using information theory in mobile social networks

S Peng, A Yang, L Cao, S Yu, D Xie - Information Sciences, 2017 - Elsevier
Social influence analysis has become one of the most important technologies in modern
information and service industries. Thus, how to measure social influence of one user on …

New trends in influence maximization models

M Azaouzi, W Mnasri, LB Romdhane - Computer Science Review, 2021 - Elsevier
The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

Analysis of online social network connections for identification of influential users: Survey and open research issues

MA Al-Garadi, KD Varathan, SD Ravana… - ACM Computing …, 2018 - dl.acm.org
Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …

Managing minority opinions in micro-grid planning by a social network analysis-based large scale group decision making method with hesitant fuzzy linguistic …

R Ren, M Tang, H Liao - Knowledge-Based Systems, 2020 - Elsevier
The growth of global electricity demand has put forward higher requirements for power
distribution networks. The high cost of the large-scale power system and the voice for the …

Factors influencing users' post replying behavior in a senior online community: an empirical investigation

Y Qian, Z Ni, H Zheng, Z Liu, F Ma - Telematics and Informatics, 2023 - Elsevier
Senior online communities (SOCs) have become an important venue for older people to
seek support and exchange information. While online community engagement has been …

Mining health social media with sentiment analysis

FC Yang, AJT Lee, SC Kuo - Journal of medical systems, 2016 - Springer
With the rapid development of the Internet, more and more users utilize health communities
(known as forums) to find health-related information, share their medical stories and …

Analysis of user network and correlation for community discovery based on topic-aware similarity and behavioral influence

X Zhou, B Wu, Q Jin - IEEE Transactions on Human-Machine …, 2017 - ieeexplore.ieee.org
While social computing related research has focused mostly on how to provide users with
more precise and direct information, or on recommending new search methods to find …

Enhancing social media platforms with machine learning algorithms and neural networks

H Taherdoost - Algorithms, 2023 - mdpi.com
Network analysis aids management in reducing overall expenditures and maintenance
workload. Social media platforms frequently use neural networks to suggest material that …