Elsevier 通用模板使用说明

% Main title of the paper
\title [mode = title]{Research on the evolutionary mechanism of information liquidity in learning-driven online social networks}
% Short title
\shorttitle{Research on the evolutionary mechanism of information liquidity in learning-driven online social networks}
\tnotemark[1]
\tnotetext[1]{This work was supported by the National Natural Science Foundation of China (NNSFC) (Nos. 62266030 and 61863025).}
 
% First author
\author[1]{Fuzhong Nian}[style=chinese]
% Short author
% \shortauthors{F. Nian, Z. Zhang \& Y. Qian}
 
% Corresponding author indication
\cormark[1]
 
% Corresponding author text
\cortext[1]{Corresponding author.}
 
% Email id of the first author
\ead{gdnfz@lut.edu.cn}
 
\author[1]{Zhen Zhang}[style=chinese]
\author[2]{Yinuo Qian}[style=chinese]
 
% Address/affiliation
\affiliation[1]{organization={School of Computer \& Communication},
  addressline={Lanzhou University of Technology},
  city={Lanzhou},
  citysep={}, % Uncomment if no comma needed between city and postcode
  postcode={730050},
  country={P. R. China}}
 
\affiliation[2]{organization={School of Control Science \& Engineering},
  addressline={Tiangong University},
  city={Tianjin},
  citysep={}, % Uncomment if no comma needed between city and postcode
  postcode={300387},
  country={P. R. China}}
 
% Here goes the abstract
\begin{abstract}
  This article focuses on the propagation process of social behaviors in social networks and proposes an influence-driven information propagation model to describe the propagation of social behaviors in social networks.
  Initially, it reveals the driving role of personal influence in information propagation and the relationship between personal influence and information propagation.
 
  Subsequently, the propagation mode of influence between individuals in the network is studied using propagation dynamics, elucidating the updating rules for interactions of influence between individuals.
  Ultimately, it explores the feedback loops and coupling mechanisms between information dissemination and influence propagation and how they mutually influence each other.
  Extensive experiments are conducted, citing real case studies to investigate the correlation between behavioral propagation and influence propagation in different events.
  The results indicate that the change of individual influence in the process of information propagation may change the information propagation, and may also change the influence in the process of information propagation, which proves the validity of the model.
\end{abstract}
 
% Research highlights
\begin{highlights}
  \item Revealed the driving role of personal influence in information propagation.
  \item Studied the propagation of influence among individuals in a network using the framework of propagation dynamics, elucidating the updating rules for interactions of influence between personnel.
  \item Explored the feedback loops and coupling mechanisms between information propagation and influence propagation, as well as how they mutually influence each other.
  % \item The new model is used to more comprehensively characterize the propagation process of social behavior in online social networks. Ultimately, extensive experiments and data comparisons are conducted, and the rationality of the model is validated.
\end{highlights}
 
% Keywords
% Each keyword is separated by \sep
\begin{keywords}
  Propagation dynamics\sep
  online social network\sep
  social behaviors\sep
  information propagation
\end{keywords}
 
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