Dissemination Path Research Articles

Green Communication in IoT for Enabling Next-Generation Wireless Systems

Recent developments and the widespread use of IoT-enabled technologies has led to the Research and Development (R&D) efforts in green communication. Traditional dynamic-source routing is one of the well-known protocols that was suggested to solve the information dissemination problem in an IoT environment. However, this protocol suffers from a high level of energy consumption in sensor-enabled device-to-device and device-to-base station communications. As a result, new information dissemination protocols should be developed to overcome the challenge of dynamic-source routing, and other similar protocols regarding green communication. In this context, a new energy-efficient routing protocol (EFRP) is proposed using the hybrid adopted heuristic techniques. In the densely deployed sensor-enabled IoT environment, an optimal information dissemination path for device-to-device and device-to-base station communication was identified using a hybrid genetic algorithm (GA) and the antlion optimization (ALO) algorithms. An objective function is formulated focusing on energy consumption-centric cost minimization. The evaluation results demonstrate that the proposed protocol outperforms the Greedy approach and the DSR protocol in terms of a range of green communication metrics. It was noticed that the number of alive sensor nodes in the experimental network increased by more than 26% compared to the other approaches and lessened energy consumption by about 33%. This leads to a prolonged IoT network lifetime, increased by about 25%. It is evident that the proposed scheme greatly improves the information dissemination efficiency of the IoT network, significantly increasing the network’s throughput.

Control of false information in social networks: A short review of communication mechanisms and management strategies

In the digital era, social networks serve as critical platforms for information dissemination but are also plagued by the spread of false information, which can undermine public trust and incite societal discord. This study examines the dynamics of false information dissemination on social networks, including its types, influential factors, and detection and management strategies. We explore various forms of false informationsuch as impersonation, misleading content, and AI-generated forgeriesand analyze the role of user interactions, network topology, and macro factors in the spread of misinformation. Detection methods are reviewed, highlighting advancements in technologies like deep learning, and management strategies are proposed, including user behavior regulation and dissemination path control. Challenges related to legal, ethical, and privacy issues are discussed, alongside the complexities of user behavior and future research directions. The findings underscore the need for comprehensive, adaptive approaches to safeguard the integrity of online information ecosystems.

Study on the Dissemination Path of Song and Opera Non-Heritage in Short Video Ecology--Taking Henan "Ma Jie Shu Hui" as an Example

Traditional Chinese performing arts, with their profound history and rich cultural heritage, constitute an important part of China's intangible cultural heritage. The emergence of short videos has expanded the space for the performance and inheritance of traditional arts, facilitated the construction of cultural communication rituals, and reshaped the atmosphere of cultural exchanges. This provides a new pathway for the dissemination of traditional Chinese performing arts, which are centered on "rap and sing" performances. By analyzing the dissemination of the world's largest traditional Chinese performing arts exchange conference, "Majie Shuhui," on the Douyin platform, this paper reveals limited creative forces and a lack of innovation in dissemination content, resulting in insufficient overall dissemination effectiveness. Therefore, based on a comprehensive consideration of the characteristics of short videos and the dissemination of traditional Chinese performing arts, it is believed that the dissemination effect of short videos on traditional Chinese performing arts can be further enhanced through three aspects: incubating high-quality personal IPs, optimizing video quality, and tapping into emotional values.

Production and dissemination path of new media film and television content based on 5G technology

Using new media to enhance the visual and creative quality of cinema and television works may also give a new means for the general public to create and distribute these works, improving the ease of film and television production and distribution. This paper studies the production and dissemination paths of new media film and television content based on 5G technology and then uses neural networks to evaluate the effectiveness of the method and complete the following work: 1) To begin, we’ll discuss the current state of new media film and television production and distribution research both domestically and internationally. 2) The development approach of film and television production and dissemination under the new media environment is proposed. The basic principles of BPNN and PSO are introduced, and then the PSO-BP model is constructed. 3) Collect the experimental data set and then select the optimal parameters of the model through experiments. The experimental results obtained by inputting the test data into the model are compared with the actual values, and it is found that the error between the estimated value of the model and the exact value is tiny.

Research on the International Dissemination Path of Chinese Liquor Culture

Liquor culture plays an important role in many countries and regions, and liquor culture plays an important role in Chinese civilization. As one of the iconic name cards of Chinese culture, its international communication also highlights the image of China. As one of the world's six major distilled spirits, Chinese liquor has not been widely recognized internationally. With the further development of new media, the international communication of liquor culture is also facing new tests. This paper will start from the current situation of international communication of Chinese liquor culture, combine the characteristics of international communication of Japanese whisky, and explore the new path of international communication of liquor in the era of new media, so as to promote liquor culture to the international, expand the international market and highlight the image of China.

Innovative Cultural Transmission Paths Analysis for Local Opera Based on Data Mining

With the rapid development of society and cultural diversity, local opera, as a representative of traditional art, faces dual challenges of inheritance and innovation. The inheritance of traditional Chinese opera often relies on oral instruction, but in modern society, this method is no longer suitable for the rapidly changing cultural environment. The purpose of this study is to explore in depth the innovative cultural dissemination path of local opera through data mining techniques. This paper uses data mining techniques to explore and analyze the inheritance of innovative culture in local opera, and to study the inheritance paths. This paper proposes a data mining-based method for analyzing and identifying the paths of inheritance of innovative culture in local opera. This paper focuses on two aspects of technology clustering and technology theme association, and the research paths are divided into flexible clustering based on data enhancement and technology evolution path identification based on theme extraction. Firstly, the heritage changes of dating tunes are discussed. Secondly, the unique artistic esthetics of the dating tune is compared with the artistic characteristics of Henan opera and the three-stringed book. Through the research and learning experience of the Dai Yongqu, it is easier to thoroughly understand the artistic essence and cultural connotation of the Dai Yongqu, and that exposure to the Dai Yongqu is a process of touching traditional culture. In the text clustering section, the data co-occurrence frequency matrix is constructed based on the results of multiple clustering, transforming the problem of determining the number of clusters into a co-occurrence frequency problem with semantic information of the text, thus achieving the purpose of flexible clustering on demand. In a comparison with existing methods, the text representation method using data-enhanced coding achieves better semantic coding results. The flexible clustering method can differentiate the data better than the clustering method with a defined number of clusters and obtains clustering results with high intra-class similarity and high inter-class differentiation.

Study on the Communication Path of the New System of Quality-oriented School Music Education in Chinese Music Education Institutions

With the deepening reform of quality education and art education in the new era, a new system of music education in quality-oriented schools has emerged. In order to effectively explore the dissemination path of the new system of quality-oriented music education in Chinese music education institutions, this paper summarizes the current development status of the new system of quality-oriented school music education. Starting from the sources and characteristics of the music education system of quality-oriented schools, it takes Beijing IGW Love and Country Art Center as a case study, analyzes the development status and user profile of the Chinese music education industry, and summarizes the promotion strategy of the new system of teaching, in order to explore a sustainable development path for the dissemination of the new system of quality-oriented school music education in Chinese music education institutions.

Appreciation and Dissemination of Chinese Paintings from a Cross-cultural Perspective Based on Information Diffusion Modeling

Abstract With a long history, profound cultural deposits, and diversified art types, Chinese painting is both an important part of traditional Chinese culture and a typical representative of traditional oriental art and culture. This article starts with the spirit of Chinese painting and aesthetic appreciation and then explores the significance of Chinese painting’s foreign dissemination and dissemination path. For the appreciation of Chinese paintings, the article designs an index system for assessing the appreciation ability of Chinese paintings, solves the weights of the indexes by using the optimal assignment method of distance estimation, and constructs a model for assessing the appreciation ability of Chinese paintings by combining with the cloud model. The Hidden Markov Model is used to establish an information diffusion model for Chinese painting dissemination, and the parameters of the model are estimated using the Great Likelihood Method. The quantitative analyses of Chinese painting appreciation ability, information diffusion effect, and satisfaction with communication effect were carried out with students from University S as the research subjects. The main factor of Chinese painting appreciation ability is emotional ability, which has a weight share of 26.74%. The comprehensive assessment cloud eigenvalue is (3.4714, 0.1462, 0.0348), which shows that the appreciation ability is good. When the state transfer probability is raised from 0.3 to 0.9, the increase in the number of Chinese painting communication nodes in 25s is 93.59%, and the satisfaction index of the audience for the communication effect of Chinese painting is 3.899. Combining with the information diffusion model, we can understand the change of communication nodes in Chinese paintings, which can provide a guide to enhance the communication effect of Chinese paintings.

Research on the Innovation of Shanxi Folk Song Dissemination Path and Multicultural Integration under the Background of Culture and Tourism Integration

Abstract In the context of cultural and tourism integration, the study of Shanxi folk songs’ dissemination path and multicultural integration has important practical significance and far-reaching influence. Through an overview of cultural and tourism integration in Shanxi folk songs, the characteristics and mutual influence of the two are summarized. The digital communication path of Shanxi folk songs under the background of cultural and tourism fusion is explored by constructing a database of Shanxi folk songs, an automatic evaluation system of sight-singing, and an offline communication mode, respectively. The results show that the response time of the database remains within 4 seconds when the number of users reaches 2000. In the analysis of the note alignment module, the F1 data value of this paper’s method is 13.42% higher than that of the LSTM model, and this paper’s model is more suitable for the note alignment of Shanxi sight-singing. In the offline communication model, the construction of facilities has the greatest influence on the communication effect, with a regression coefficient of 0.812, a T-value of 35.421, and a P-value of 0.003. This study not only enriches the cultural life of the people and enhances the sense of identity of the national culture but also promotes the inheritance and development of the culture of Shanxi folk songs and contributes positively to the prosperity of the culture and tourism industry in the Shanxi region.

A Study on the Application of Social Network Analysis Based Approach in the Optimization of Cultural Communication Paths and Efficiency

Abstract The optimization of cultural communication paths is an important part of Chinese culture’s continued dialogue with the world in the face of increasingly fierce international competition. In this paper, we use social network analysis to collect relevant data on the microblogging platform and analyze the overall network structure of “The Belt and Road Initiative” using network density, network distance, and clustering coefficients. Using social network analysis metrics, we calculate the node position of the network path of “The Belt and Road Initiative” and analyze the influence of each microblog account. We filter the cultural communication topics of “The Belt and Road Initiative”, scrutinize the participating regions, and establish the characteristics of the cooperation mode within this cultural communication. “The Belt and Road Initiative” has a network density of 0.247, 0.281, and 0.295, respectively, which indicates that the network density of these three topics is small and there is less information exchange, but the cohesive force of cultural communication is stronger. “People’s Daily,” “Central Committee of the Communist Youth League,” and “Phoenix Video” have high intermediary centrality (712.256, 700.425, and 695.253, respectively). The high intermediary centrality indicates that these nodes have a great influence on the flow of resources in the information dissemination network and can accelerate the efficiency of the “Belt and Road Initiative” cultural dissemination path.

Research on the Protection and Dissemination of Intangible Cultural Heritage with Regional Cultural Characteristics in Shaanxi under the Background of Big Data

Abstract Cultural heritage is a response to the characteristics of a society and deserves to be protected and passed on to future generations, but there is still a lack of knowledge and skills related to it in the methodology of digital preservation of intangible cultural heritage. This paper aims to digitally preserve intangible cultural heritage in Shaanxi by utilizing methods such as feature point description, image edge detection, and visual feature extraction. The scale space expression algorithm is applied to keep the feature point scale of the intangible cultural heritage unchanged, and the scale space of the image is obtained by convolving the Gaussian convolution kernel with the image. The Sobel operator is employed to evaluate the significance of pixels in the non-heritage image to identify the edge effect of the image. Focusing on analyzing the digitization types of Shaanxi’s non-legacy, we explored the role of images in the protection of non-legacy and formulated the dissemination path of Internet+Non-legacy for the current situation of Shaanxi’s non-legacy. The results show that among the 12 NHs in Shaanxi, the number of textual materials is the largest, accounting for 43.33% of all digital materials, followed by the proportion of images at 33.33%, and the current digitization of NHs needs the supplementation of audiovisual materials the most, with audiovisual materials accounting for only 23.33%. The value of images for the protection of non-heritage cultural heritage reflects the non-heritage characteristics intuitively, and the range of Shaanxi non-heritage image dissemination index is in the range of 21-89 interval, and with the change of time, people pay more and more attention to Shaanxi non-heritage.

A Study of Digital Communication Paths in Contemporary Politics and Marxist Thought

Abstract In the context of digital technological change and media convergence, how to quantitatively analyze the digital communication path of contemporary politics and Marxist thought has become a new problem to be solved. The objective of this paper is to create a model for analyzing the digital communication path of political information and Marxist thought. The degree correlation in the social network algorithm is used to analyze the correlation between the information nodes of contemporary politics and Marxist thought, and the clustering coefficients are used to predict the behavior and evolution of the nodes in the dissemination network. The dissemination model of contemporary politics and Marxist ideology can be explored by combining the infectious disease information dissemination model on the network platform. After the construction has been completed, the model is employed to evaluate the relevant information of a network platform. The early stages of the spread of political and Marxist-related information resulted in 180,000 crowd contacts becoming information exposers and quickly reaching the peak point. The peak point of 119,800 people is quickly reached when both intentional and unintentional communicators of political messages increase. Node density reaches 0.94 and then declines roughly 24 hours after the political message is released. The model employed in this paper is capable of effectively analyzing the digital dissemination path of politics and Marxist ideology and providing a reference for exploring the digital dissemination of political information.

Research on the Enhancement and Dissemination Path of the Cultural Tourism Brand Influence of "Mount Tai, China—Peace and Prosperity for the Country and the People"

Research on the Enhancement and Dissemination Path of the Cultural Tourism Brand Influence of "Mount Tai, China—Peace and Prosperity for the Country and the People"

Combined with linear regression analysis of Hainan coconut carving art dissemination path analysis

Abstract Hainan coconut carving is regarded as an excellent traditional cultural treasure of the Chinese nation, which has a long history with a long history, but the current dissemination of the art of Hainan coconut carving is faced with the dilemma of decline. This paper carries out the construction of a multiple linear regression model, using the least squares method to determine the regression parameters and find the maximum likelihood estimation of the regression parameters. Then, the relevant elements of the art communication path, based on the elements of the construction of the art communication of multiple linear regression model and the production of questionnaires used to obtain the art communication path influence factors data. The least squares and maximum likelihood parameter estimation are numerically simulated, and the art communication path is analyzed using multiple linear regression. The results show that the mean square error of the least squares method is below 0.001 when the sample size of maximum likelihood estimation is increased from 100 to 300, the error rate of different parameters is reduced by 70.83%, and the significance of the influencing factors in the multivariate linear regression model is less than 0.05. Based on the linear regression, we can analyze the influencing factors of the dissemination path of the art of Hainan Coconut Sculpture, which provides a reference to the further expansion of the art of Hainan Coconut Sculpture. It can provide a reference for further expanding the dissemination of Hainan coconut carving art.

Study on the Dissemination Path of Chinese Modern and Contemporary Literature in the Background of the Internet

Abstract This paper first establishes a literary communication SICR model on the basis of the communication SICR model. It adopts cultural communication state transfer to construct a social network composed of N-closed individuals. Secondly, the dissemination threshold when the model reaches a stable state is discussed from the beginning and end of the literary work dissemination process. Finally, numerical simulation research using MATLAB software is used to analyze the propagation process of modern Chinese literary works, with examples provided. The results show that the number of literary ignoramuses (I) transformed into literary propagators (S) gradually rises when the initial values are S(t)=8915, I(t) =3414, C 0 =5288, and R 0 =850 in the dissemination process of X novels in Fictum, a Chinese online literature, and reaches the dissemination threshold when the dissemination rate reaches 0.856. This paper aims to provide a guide for advancing the advancement of modern and contemporary Chinese literature to the outside world and advocating for cultural dissemination.

Interactive Music Distance Education Platform Based on RBF Algorithm

INTRODUCTION: Since the 21st century, Internet technology has been developing rapidly, and the field of education has gradually broken through the traditional offline teaching mode; utilizing the Internet mode for distance education to break the time and space constraints of education and music education is more restrictive on time and space. However, if distance education can be better utilized to promote the development of online music education, it will promote the development of music education. OBJECTIVES: This paper combines the past research results of the RBF algorithm, music education and distance education to study the construction of an interactive music distance education platform based on the RBF algorithm. The algorithm is used to improve the quality of the construction of the distance education platform, and the algorithm mainly optimizes the information dissemination path of distance education in the construction of the interactive music distance education platform and improves the reliability of the platform construction. METHODS: The RBF algorithm is used to optimize the construction of the platform, and the case method is used to study individual schools to detect the actual application of music distance education and to find the strengths and weaknesses of the interactive music distance education platform, and to improve the weaknesses to enhance the platform. RESULTS: The study found that constructing an interactive music distance education platform will not guarantee the quality of distance education; teachers and students can not quickly realize the effective communication between teachers and students, and some teachers can not better apply the distance education platform. However, there is still room for developing interactive music distance education platforms. CONCLUSION: The research of interactive music distance education platforms based on the RBF algorithm has a significant positive effect on the development of distance education, art distance education, music education and so on in China. Therefore, it is necessary to continuously improve music education by utilizing online teaching methods and teaching resources.

Research on the International Communication of Short Videos for Chinese Traditional Culture in the Visual Culture Context

As an emerging form of culture, visual culture not only brings visual impact to the public, but also enriches their forms of entertainment. This also makes up for the shortcomings of traditional language and culture, achieving a modern transformation of cultural forms. In recent years, with the rapid development of modern information technology in China, the era of network communication relying on Internet technology has arrived. Especially the visual culture dominated by short videos has penetrated into every aspect of people's lives, achieving innovation in communication methods and content. This endows visual culture with unique value and has become a powerful measure to export traditional Chinese culture and highlight the image of China as a great power. In this context, this paper takes short videos in visual culture as the starting point, and analyses the visual characteristics and construction of traditional Chinese culture in short videos. The paper particularly delves into the international dissemination path of traditional Chinese culture with short videos.

Visualization communication mode and path optimization of data news in the context of big data

Abstract With the development of big data technology, not only driving the development of the social economy but also the news media industry is developing in the direction of integration and innovation, and promoting the dissemination of news through data value factors is the focus of current research. This paper takes data news as the research object, takes the framework theory as the entry point, and mainly studies the data news production dilemma and its optimization path. Firstly, the data news information is classified by entity extraction, and the weights between the entity information are calculated to establish the association. Secondly, the IE-Page Rank algorithm is proposed to get the IER value of each information entity by iterative calculation, which is used to identify its importance and quantitatively get the importance ranking of all information entities. Finally, the basic framework of data news visualization is constructed, and the applicable visualization optimization dissemination path is given in the case. The research results show that compared with the traditional media news dissemination model, the improved data visualization dissemination model increases efficiency by 32.3%, timeliness by 18.9%, user satisfaction by 21.1%, and effectively increases the reading volume and dissemination paths by 17.2% of users. The improved data news visualization dissemination model proposed in this paper improves the professionalization of data analysis, enhances the interactivity and visualization of data news works, and provides guidance for disseminating data news.

AR Technology-Assisted Selfie Design and Dissemination Path Analysis

Augmented reality (AR) is a technology based on 3D registration, virtual-real fusion and human-computer interaction to achieve the integration of virtual objects and real scenes. The core problem of augmented reality task is the accurate and fast recognition and tracking of objects in real scenes, which provides the technical basis for updating and optimizing the selfie design. This paper discusses the specific technical path of AR applied to selfie design based on the deep learning approach, and demonstrates the impact of different deep learning algorithms on the effectiveness of the integration of AR and selfie, and finally the paper discusses the application prospects of AR in selfie.

The information dissemination path of the sense of community of contextual beauty universe based on the hierarchical analysis method - the science fiction film “Dune” as an example

Abstract Since its introduction into China, the film Dune has sparked heated discussions among Chinese moviegoers. This paper explores the sense of cosmic community embedded in Dune, and its cinematic aesthetics conveyed to audiences through the information dissemination path. This paper identifies the hierarchical analysis method as the main research method, first identifies the definition of cosmic community in terms of content, and then conducts an appreciation of the sense of cosmic community in the contextual beauty of “Dune”. The algorithmic framework is established by building a model of the hierarchical analysis method, while the priority weight allocation coefficient is calculated afterward to determine the priority weight of the program, and the results are evaluated using the fuzzy preference evaluation method. The data showed that the highest ratio of movie viewers who liked science and technology very much or more was 36.09% and 35.49%, respectively, while the ratio of movie viewers who were interested in the topics of universe and space exploration was 48.8%. The rating screen effects and movie music scored out of 10, and the average audience rating was above 8.2. And Dune belongs to the topic of cosmic exploration, indicating that at least in terms of the movie audience, Dune already has a large audience base in the early stage, which is one of the sources of the movie’s enthusiasm. This paper is feasible and meaningful to explore the research direction of Dune’s cosmic community of contextual beauty from the contextual level.