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A survey on information diffusion in online social networks: Models and methods
M Li, X Wang, K Gao, S Zhang - Information, 2017 - mdpi.com
By now, personal life has been invaded by online social networks (OSNs) everywhere. They
intend to move more and more offline lives to online social networks. Therefore, online …
intend to move more and more offline lives to online social networks. Therefore, online …
Opinion leader detection: A methodological review
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 …
[HTML][HTML] Micro, macro and mega-influencers on instagram: The power of persuasion via the parasocial relationship
R Conde, B Casais - Journal of business research, 2023 - Elsevier
This study analyzes the effect of the parasocial relationship on the audience's intention to
adopt the recommendations of micro, macro and mega-influencers, considering the number …
adopt the recommendations of micro, macro and mega-influencers, considering the number …
An improved gravity model to identify influential nodes in complex networks based on k-shell method
X Yang, F **ao - Knowledge-Based Systems, 2021 - Elsevier
To find the important nodes in complex networks is a fundamental issue. A number of
methods have been recently proposed to address this problem but most previous studies …
methods have been recently proposed to address this problem but most previous studies …
Identification of influential users in social network using gray wolf optimization algorithm
A challenging issue in viral marketing is to effectively identify a set of influential users. By
sending the advertising messages to this set, one can reach out the largest area of the …
sending the advertising messages to this set, one can reach out the largest area of the …
Finding influential nodes in social networks based on neighborhood correlation coefficient
Finding the most influential nodes in social networks has significant applications. A number
of methods have been recently proposed to estimate influentiality of nodes based on their …
of methods have been recently proposed to estimate influentiality of nodes based on their …
Sustainable development evaluation of the society–economy–environment in a resource-based city of China: A complex network approach
Z **g, J Wang - Journal of cleaner production, 2020 - Elsevier
Resource-based cities (RBCs) have made a significant contribution to country development
in certain historical periods. Achieving sustainable development of the society–economy …
in certain historical periods. Achieving sustainable development of the society–economy …
Identifying influential nodes in complex networks: Effective distance gravity model
The identification of important nodes in complex networks is an area of exciting growth due
to its applications across various disciplines like disease control, data mining and network …
to its applications across various disciplines like disease control, data mining and network …
Identification of influencers in complex networks by local information dimensionality
The identification of influential spreaders in complex networks is a popular topic in studies of
network characteristics. Many centrality measures have been proposed to address this …
network characteristics. Many centrality measures have been proposed to address this …
A hierarchical approach for influential node ranking in complex social networks
Due to the rapid extension of social networks in recent years, a new potential has emerged
for global spreading of messages and effective broadcasting of news. Identification of …
for global spreading of messages and effective broadcasting of news. Identification of …