Cultural communication in double-layer coupling social network based on association rules in big data

Xu, Xin

doi:10.1007/s00779-019-01308-y

Cited by 11 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xu et al proposed a network model to predict the spread of cultural information. Based on the rules of big data in the process of cultural communication, the ethical review and theoretical construction of cultural network communication were carried out, and the characteristic attributes of the network were extracted [16]. Gu et al made the relevant document system more complete through indepth study of the document information in the historical period and the optimization and integration of the big data technology [17].…”

Section: Introductionmentioning

confidence: 99%

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Wang

Tang

2022

Advances in Multimedia

View full text Add to dashboard Cite

During the Ming Dynasty, China and Korea exchanged frequently and recorded a large amount of written information, which is of great value for understanding the culture of that time. The large amount of data makes it difficult to conduct quantitative analysis by researchers, which makes the analysis limited. This paper carries out a research on the cognition and analysis method of Chinese and Korean envoys to foreign cultures in Ming Dynasty based on big data analysis technology. Based on the literature research, this paper determines the ontology model establishment method to efficiently detect the written records of Chinese and Korean envoys in Ming Dynasty. The established ontology model and the improved clustering analysis method can improve the efficiency of data detection, reduce the error of data detection, and provide data basis for the research of this paper. According to the technology of big data analysis, this paper analyzes the focus and status class of Chinese and Korean envoys in Ming Dynasty and analyzes cognition of the Chinese and Korean envoys for the foreign culture. The results show that the envoys of the Chinese and Korean pay different attention to the foreign culture due to their different cognition of the foreign culture, compared with Ming Dynasty envoys, Korean envoys paid 15.3 percent less attention to geography, 19.7 percent more to history, 11.7 percent more to people, and 16 percent less to customs. This reflects the two envoys’ different perceptions of the foreign culture. And the status class of the envoys exacerbates this difference. In the early Ming Dynasty, the creative diversity of Ming envoys was far lower than that of Korean envoys. As time went by, the creative diversity of Ming envoys increased. The results provide support for further understanding of Chinese and Korean culture and their relationship in Ming Dynasty.

show abstract

Section: Introductionmentioning

confidence: 99%

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Wang

Tang

2022

Advances in Multimedia

View full text Add to dashboard Cite

show abstract

“…The measurement of regional cultural influence mainly adopts the theories and methods of cultural ecology, using the basic pattern characteristics of urban and rural spatial planning and the main evolutionary law of regional cultural expansion to evaluate and predict the influence index and evolutionary rules of regional culture. The research found that the regional culture formed by the chaotic cultural space unit has potential regularity, which is of great significance in actual cultural research [27][28][29][30]. At present, the cultural pattern index is the main method to analyse the regional cultural pattern and influence.…”

Section: Analysis the Measurement Index Of Regional Cultural Influencementioning

confidence: 99%

Resource electronic database for measuring regional cultural influence based on machine learning big data

2021

View full text Add to dashboard Cite

With the advent of the information age, the use of various mobile terminal devices has accelerated the integration of local cultures, which has also brought many unstable factors to society while promoting cultural diversification. This article aims to build a resource electronic database to measure regional cultural influence through the current popular big data technology, and to provide some reference suggestions and data resources for the harmonious development of regional culture. Based on the status quo of regional cultural development, this paper determines the key functional requirements for constructing an electronic database of regional cultural influence measurement resources. In the specific process of database design, big data mining algorithms and machine learning classification prediction algorithms are used to collect, classify and process the data resources of the regional cultural influence measurement database. Through case analysis, it is concluded that the electronic database of regional cultural influence measurement resources based on machine learning big data constructed in this paper is rich in data resources, and the relative mean square error of its classification algorithm is only 13.58%.

show abstract

Instrumental Music Dissemination of Southwest Ethnic Minorities Based on Big Data Technology

Luo

2023

Lecture Notes on Data Engineering and Communications Technologies

View full text Add to dashboard Cite

Cultural communication in double-layer coupling social network based on association rules in big data

Cited by 11 publications

References 23 publications

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Resource electronic database for measuring regional cultural influence based on machine learning big data

Instrumental Music Dissemination of Southwest Ethnic Minorities Based on Big Data Technology

Contact Info

Product

Resources

About