a9d63984ecbf36a1a39dc5eccd73655b.zip
美赛.rar
在改变以下文字的大小时，用8pt,14pt放到documentclass[12pt]{article}都会变得比12pt小，直接复制代码会报错，要把附件里面的东西都下载到同一个文件里面才行，我也不知道具体原理，但是使用教程说要都搞到一起才能正常编译，我也确实搞到一起就能正常运行。

% 美赛模板：正文部分

\documentclass[12pt]{article}  % 官方要求字号不小于 12 号，此处选择 12 号字体
% \linespread{1.1}
% \bibliographystyle{plain}
% 本模板不需要填写年份，以当前电脑时间自动生成
% 请在以下的方括号中填写队伍控制号
\usepackage[2107542]{easymcm}  % 载入 EasyMCM 模板文件
\problem{D}  % 请在此处填写题号
% \usepackage{mathptmx}  % 这是 Times 字体，中规中矩 
\usepackage{palatino}  % mathpazo 这palatino是 COMAP 官方杂志采用的更好看的 Palatino 字体，可替代以上的 mathptmx 宏包
\usepackage{pdfpages}
\usepackage{longtable}
\usepackage{tabu}
\usepackage{threeparttable}
\usepackage{listings}
\usepackage{paralist}
\usepackage{setspace}


\let\itemize\compactitem
\let\enditemize\endcompactitem
% \let\enumerate\compactenum
% \let\endenumerate\endcompactenum
% \let\description\compactdesc
% \let\enddescription\endcompactdesc
% \usepackage{biblatex} 
% \usepackage{cite}
% \usepackage{natbib}
\newcommand{\upcite}[1]{\textsuperscript{\textsuperscript{\cite{#1}}}}
\title{A Glimpse of Music Change through Influence Networks}  % 标题

% 如需要修改题头（默认为 MCM/ICM），请使用以下命令（此处修改为 MCM）
%\renewcommand{\contest}{MCM}

% 文档开始
\begin{document}
    \begin{abstract}
        
        
        % (Need to be reviewed)
        Music is the treasure of humanity. The interplay of artists and genres has also contributed to the continuous development of music. The purpose of this paper is to develop a model for measuring musical influence and to explore the evolutionary and revolutionary trends in examining artists and genres.
        
        In \textsc{Task 1}, we treat each artist as a node and represent the node-to-node influence with a directed line segment. Then we quantify the direct influence by adapting the TwitterRank model and quantify the indirect influence by constructing a transmission of indirect influence modeled after \textit{Markov chains}. Finally, by studying the influence of individual nodes in a sub-network, we reveal the important people in this sub-network.
        
        In \textsc{Task 2}, we use the \textit{random forest algorithm} to reduce the dimensionality of the features of artists' works, then we vectorize each feature of artists' works, followed by using min-max to normalize the feature values. After that, we measure the similarity between artists by the \textit{cosine similarity}. Finally, we use \textit{hierarchical clustering method} to analyze the correlation between artists. 
        
        In \textsc{Task 3}, we analyze the correlations and influences between and within genres, using the Easy Listening genre as an example, in combination with the relationships of influence, and the degree of similarity. Based on this, we then identify the main characteristics of all genre styles.
        
        In \textsc{Task 4}, using the artist Al Di Meola as an example, we analyze the relationship between influence and the degree of similarity of the works in relation to the influence model. Then we develop further analysis based on each of these characteristics. 
        
        In \textsc{Task 5}, using the folk genre as an entry point, we analyze the change curve of each of its characteristic attributes over time, search for curve inflection points, and identify the influencers of major changes using the similarity metric.
        
        In \textsc{Task 6}, according to the variance of similarity and the dynamic analysis of the sub network of music genre, we establish two dynamic indicators about the change and activity of music genre and select the Vocal genre to analyze in detail the influential process of its musical evolution over time. The artist Frank Sinatra from the Vocal genre is also used as an example to explain the reasons for the stylistic changes of his works over time.
        
        In \textsc{Task 7}, combined with other sources, we analyze the specific impact of environmental and temporal factors on music from four perspectives: political, economic, warfare, and technological.
        
        Finally, we conduct a sensitivity analysis in order to gain some deep understanding of our model. Additionally, we analyze the strengths and weaknesses of our model.
        
        
        
        
        % Here is the abstract of your paper.
        
        % Firstly, that is ...
        
        % Secondly, that is ...
        
        % Finally, that is ...
        
        % 美赛论文中无需注明关键字。若您一定要使用，
        % 请将以下两行的注释号 '%' 去除，以使其生效
        \vspace{5pt}
        \textbf{Keywords}: Markov chains, Random forest algorithm, Hierarchical clustering 
    
    
    \end{abstract}

    
    
    
\end{document}  

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