<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Firstly, according to the actual situation of some new undergraduate colleges and universities upgraded from teacher training colleges, whose science and technology disciplines are relatively weak but humanities disciplines have an excellent history of nearly one hundred years, the humanities disciplines with strong creativity, such as education, art and media, are closely related through the construction of cultural and creative industry professional clusters. Secondly, based on the clustering algorithm, we classify and quantify the professional relationships of undergraduate institutions, which need to satisfy the assignment rules and perform algebraic operations on the relationship matrix to realize the classification of professional relationships. Then we searched the Chinese literature with “professional cluster” as the keyword to obtain the initial data, and used the clustering algorithm to visualize and analyze the research on professional cluster construction in undergraduate colleges and universities. The results show that when the default values of <italic>α</italic>1/<italic>α</italic>0 = 3 and <italic>γ</italic>[0,1] = 0.6 are used, the seven keywords with the highest emergence intensity are: architecture cluster, transformation development, undergraduate, professional faculty, school, undergraduate school, and big data, and the keyword clustering reflects the research hotspots of professional clusters, which can promote the construction of professional clusters.</p>
</abstract>

Firstly, according to the actual situation of some new undergraduate colleges and universities upgraded from teacher training colleges, whose science and technology disciplines are relatively weak but humanities disciplines have an excellent history of nearly one hundred years, the humanities disciplines with strong creativity, such as education, art and media, are closely related through the construction of cultural and creative industry professional clusters. Secondly, based on the clustering algorithm, we classify and quantify the professional relationships of undergraduate institutions, which need to satisfy the assignment rules and perform algebraic operations on the relationship matrix to realize the classification of professional relationships. Then we searched the Chinese literature with “professional cluster” as the keyword to obtain the initial data, and used the clustering algorithm to visualize and analyze the research on professional cluster construction in undergraduate colleges and universities. The results show that when the default values of α1/α0 = 3 and γ[0,1] = 0.6 are used, the seven keywords with the highest emergence intensity are: architecture cluster, transformation development, undergraduate, professional faculty, school, undergraduate school, and big data, and the keyword clustering reflects the research hotspots of professional clusters, which can promote the construction of professional clusters.

Research on the construction of professional clusters in newly built undergraduate colleges facing cultural and creative industries under the background of integration of industry and education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Firstly, according to the actual situation of some new undergraduate colleges and universities upgraded from teacher training colleges, whose science and...

Research on the construction of professional clusters in newly built undergraduate colleges facing cultural and creative industries under the background of integration of industry and education

Publicado en línea: 11 oct 2023

Páginas: -

Recibido: 09 ene 2023

Aceptado: 21 abr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00608

Palabras clave
Clustering algorithm, Relationship matrix, Assignment rules, Algebraic operations, Undergraduate institutions

© 2023 Jing Hao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the construction of professional clusters in newly built undergraduate colleges facing cultural and creative industries under the background of integration of industry and education

Publicado en línea: 11 oct 2023

Páginas: -

Recibido: 09 ene 2023

Aceptado: 21 abr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00608

Palabras claveClustering algorithm, Relationship matrix, Assignment rules, Algebraic operations, Undergraduate institutions

© 2023 Jing Hao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Clustering algorithm, Relationship matrix, Assignment rules, Algebraic operations, Undergraduate institutions