Communication Path Research Articles

What type of social media posts about sustainable construction is better for audience engagement?

Background In an effort to move to a sustainable society, new concepts and findings related to sustainable construction are being developed. With ambition to transfer newly developed knowledge to society, various communication paths are being used. In this study we investigated what kind of messages shared on institutional social media channels (Facebook, Twitter (now renamed to X), and LinkedIn) about sustainable construction create more audience engagement. Methods The study consisted of two phases of weekly social media posts. In each phase, 15 posts were published on the same day and time, while engagement was monitored. Three different types of posts were created, that were sequential cycling each week. Type 1 was written informative content related to research activities; type 2 was image content related to the research activities and equipment, with a short text caption of the image; and type 3 was image content with people – scientists working on research activities with a short text caption of the image. Results Poisson regression analysis revealed that type 3 posts result in the most audience engagement on LinkedIn, suggesting that using images of people in combination with short text captions is the most effective way to engage social media audiences. These findings can help organizations to use social media to promote sustainable construction and other sustainability-related research. The engagement was lower on Facebook and Twitter (X). Conclusions As the science is aiming to be closer to the society, these findings deliver an important insight of science communication through the social media. Although the study delivered several lessons learnt related to science communication through social media studies, it provides an important bases for further studies. Conclusions can support research organizations in improving their science communication.

Heterogeneous Graph Neural Network for Power Allocation in Multicarrier-Division Duplex Cell-Free Massive MIMO Systems

In order to maximize the spectral efficiency (SE) in multicarrier-division duplex (MDD) enabled cell-free massive MIMO (CF-mMIMO), a heterogeneous graph neural network (HGNN), referred to as CF-HGNN, is specifically introduced to optimize the power allocation (PA). To efficiently manage the interference invoked, a meta-path based mechanism is applied in CF-HGNN to enable individual access point (AP) and mobile station (MS) nodes to aggregate information from the interfering and communication paths with different priorities during message passing. Moreover, the proposed CF-HGNN employs the adaptive node embedding layer and adaptive output layer to make it scalable to the various numbers of APs, MSs and subcarriers. For comparison, a quadratic transform and successive convex approximation (QT-SCA) algorithm is proposed to solve the PA problem in classic way. Numerical results show that CF-HGNN is capable of achieving 99% of the SE achievable by QT-SCA but using only 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup> times of its operation time, and it can outperform the conventional learning-based and greedy unfair methods in terms of SE performance. Furthermore, CF-HGNN exhibits good scalability to the CF networks with various numbers of nodes and subcarriers, and also to the large-scale CF networks when assisted by user-centric clustering.

Research on the Communication Path of Tourism Culture in the Perspective of Intercultural Communication

The development of globalization has made cross-border tourism the norm, and cultural exchanges between countries have become more frequent and in-depth. Through tourism, people can deeply experience the history, traditions, and customs of different cultures, to understand and respect each other's differences more comprehensively, and this kind of mutual understanding not only helps to eliminate cultural barriers but also builds a strong foundation for world peace and common prosperity. In this context, the role of cross-cultural communication in tourism culture communication has become more and more prominent. This paper discusses the key role of intercultural communication in tourism culture communication, analyzes the current challenges and opportunities, and comprehensively analyzes the key points of intercultural communication through the study of language, visual, social media, and other perspectives, to provide profound insights for better-promoting tourism culture communication.

The Operational Logic of Culture-Based Short Video Marketing Empowering Brand Growth: The Case of Local Cultural Brands

Many academics studying marketing have shifted their focus to the scientific study of short videos as a result of the rapid growth of new media. Despite the abundance of research findings, the majority of academics concentrate on short videos for pure communication purposes without analyzing how traditional culture is used in short videos for propaganda or the integration process. In order to support the long-term growth of marketing, investigate additional opportunities presented by short-video cultural communication, and broaden and deepen the scope of marketing research, this article conducted a thorough analysis of the best examples of short-video cultural communication using the literature analysis method. It also examined the primary ways in which short-video culture-based marketing supports the development of a brand and integrated a broadly applicable brand communication path. According to the brand case study, the "Cao County" brand primarily uses "official marketing + self-media dissemination + live broadcasting with goods" to promote local culture and tourism in Cao County. In contrast, the brand "Chuanxiang Xiaomeier" achieves brand image unification and short video communication content innovation through the usage of "personal account promotion, brand identification system, and family communication context creation". This article ultimately finds that the core path of "dual matrix mode creation + brand image unification + cultural background empowerment" supplies a reference program for short video culture promotion. It does this by combining the common points and communication benefits of the two scenarios.

Analysis of the Status Quo of Food Marketing in Social Networks under Brand Empowerment: Recommendation, Interaction and Feedback

In light of the rapid advancements in information technology and the widespread accessibility of the Internet, the landscape of media, communication modalities, and audience preferences have been subject to profound transformations. Against this dynamic backdrop, this paper embarks on an exploratory journey into the realm of the food industry across various major social platforms. Leveraging the potent tool of content analysis, this study meticulously collects and scrutinizes pertinent statistical data obtained through interactive digital channels, thereby elucidating the current landscape of food marketing in the realm of social media.This research endeavors to discern the predominant trajectories within food marketing, particularly focusing on the paradigm of brand empowerment. It engages with the intricate processes of content creation, audience interaction, and feedback loops, offering profound insights into how brands empower themselves within this digital realm. The outcomes of this analysis will pave the way for valuable recommendations aimed at both individual content creators and collaborative teams operating within the realm of new media. In essence, this study seeks to enrich our comprehension of brand empowerment dynamics, opening up new horizons for food exhibition on social networks. By shedding light on the prevailing trends and opportunities, it endeavors to chart a visionary path for brand communication in the dynamic arena of the digital food industry.

The Pivotal Distinction between Antagonists' and Agonists' Binding into Dopamine D4 Receptor-MD and FMO/PIEDA Studies.

The dopamine D4 receptor (D4R) is a promising therapeutic target in widespread diseases, and the search for novel agonists and antagonists appears to be clinically relevant. The mechanism of binding to the receptor (R) for antagonists and agonists varies. In the present study, we conducted an in-depth computational study, teasing out key similarities and differences in binding modes, complex dynamics, and binding energies for D4R agonists and antagonists. The dynamic network method was applied to investigate the communication paths between the ligand (L) and G-protein binding site (GBS) of human D4R. Finally, the fragment molecular orbitals with pair interaction energy decomposition analysis (FMO/PIEDA) scheme was used to estimate the binding energies of L-R complexes. We found that a strong salt bridge with D3.32 initiates the inhibition of the dopamine D4 receptor. This interaction also occurs in the binding of agonists, but the change in the receptor conformation to the active state starts with interaction with cysteine C3.36. Such a mechanism may arise in the case of agonists unable to form a hydrogen bond with the serine S5.46, considered, so far, to be crucial in the activation of GPCRs. The energy calculations using the FMO/PIEDA method indicate that antagonists show higher residue occupancy of the receptor binding site than agonists, suggesting they could form relatively more stable complexes. Additionally, antagonists were characterized by repulsive interactions with S5.46 distinguishing them from agonists.

Hybrid heuristic driving training-rider optimization algorithm for QoS-aware multicast communication system in MANET

ABSTRACT Mobile Ad hoc Network (MANET) is broadly applicable in various sectors within a short amount of time, which is connected to mobile developments. However, the communication in the MANET faces several issues like synchronization, managing power, resources, and routing management. Often, finding the optimal path in the MANET becomes complicated in the existing approaches. In this work, the latest QoS-assisted multiple-cast communication system in MANET is presented using hybridized approaches for better communication over the MANET domain. Especially, an Exploitation-assisted Driving Training-Rider Optimization (EDT-RO) model is suggested for the multicast routing in MANET. The developed EDT-RO algorithm optimizes the paths for communication in MANET, where the network considers more than two receivers. The proposed EDT-RO-based multicast routing algorithm aims to attain the objective function considering the data packet delivery rate, the throughput, the end-to-end latency, and the Quality of Service (QoS). Throughout the result analysis, the offered model shows better performance in terms of 0.2%, 0.3%, 0.5%, and 1.5% than DHOA, Jaya, DTBO, and ROA regarding mean. Simulations are conducted by comparing with other optimization algorithms used for QoS-assisted multiple casts routing to showcase and attain better routing performance of the developed models.

Exploring Josephus Interconnection Networks : Unveiling Architecture, Applications, and Recent Advancements

This abstract delves into the distinctive features, applications, challenges, and future directions of Josephus Interconnection Networks. These networks, characterized by a circular topology and deterministic communication paths, present a novel approach to interconnected systems, promising advancements in parallel computing, routing algorithms, and fault tolerance. The recapitulation of key findings highlights ongoing developments in dynamic node management, routing algorithm optimization, and adaptive fault tolerance mechanisms. Implications for interconnected systems encompass efficient parallel processing, rendering Josephus networks apt for distributed and edge computing. The challenges in implementation, notably hardware complexity, underscore the necessity for continual research. Future applications envision roles in distributed computing, edge computing, and potential integration with quantum computing. The abstract concludes by emphasizing the exciting prospects for Josephus networks as they navigate historical inspiration and modern computational challenges in the evolving landscape of interconnected systems.

A Spatio-Temporal Network Model of Chinese Ethnic Culture Transmission Paths Cultural

Abstract The current social network analysis method is essential in dealing with massive data on network relationships. By treating individuals, organizations, or countries as nodes and their relationships as connecting lines, the network diagrams provided a new perspective for studying social structure and communication paths. When exploring the path of Chinese national culture, the spatio-temporal network model can better analyze cultural diffusion’s dynamic characteristics and efficiency, and then optimize the diffusion strategy to promote the global diffusion of Chinese culture. In this study, the efficiency and characteristics of cultural diffusion are analyzed in depth using social network analysis, with indicators such as point degree centrality, mediated centrality, proximity centrality, and network flatness. The effectiveness of cultural diffusion is influenced by the identification of critical nodes and the trust propagation mechanism in the normalized model. Estimated by the generalized least squares method, the model demonstrates the increased efficiency of cultural dissemination under specific dissemination attributes and narrative attributes, in which the average number of plays of Chinese cultural content on the TikTok platform reaches 13,585,700, the number of likes reaches 355,123, and the number of comments is 31,398. Enhancing the global communication efficiency of Chinese national culture can be achieved by optimizing the social network structure and content strategy. This study provides a scientific basis and practical guidance for spreading Chinese culture globally, and emphasizes the importance of social platforms in cultural dissemination.

Research on the Path of English Translation Teaching and External Communication Based on the Multimodal Analysis Method

Abstract With the development of the times and the continuous innovation of modern education technology, the multimodal theory is developing deeply in the field of education. The first step in this study is to use the optimization principle to select modes that meet the needs of English translation teaching and then develop a multimodal analysis framework for external communication that incorporates multimedia communication methods. Then, we constructed an emotion recognition model for English translation teaching by using speech recognition and expression recognition combined with convolutional neural networks for the students’ classroom situation and attitude and carried out the empirical analysis. The recognition accuracy of the emotion recognition system constructed in this paper is 86.4%. In the multimodal analysis of English translation teaching, the teacher who uses the linguistic modality type for the most number of times 387 times, and the teacher who uses the mixed modality for the most number of times 271 times, the students have the best classroom status. It has been stable at about 5 points, which is a “more positive” state. The students in the class had the highest level of motivation. Through the analysis, it is found that multimodal teaching can effectively improve the students’ status in class and keep their attention, which verifies the appropriateness of the external communication path combined with multimedia communication in multimodal English translation teaching. It provides a practical path for the development of English translation teaching.

Evaluation on the Development Path of New Media Art Communication Based on Artificial Intelligence Technology

Evaluation on the Development Path of New Media Art Communication Based on Artificial Intelligence Technology

The Coupling of Innovation in Traditional Chinese Cultural Diffusion and Smart Cultural Aging

Abstract Based on the coupled communication of smart elderly care and traditional Chinese culture, this paper proposes four paths of coupled communication, including in-depth communication, innovative cultural forms of communication, precise communication, and promotion of coupled development. Two systematic index systems have been constructed to disseminate traditional Chinese culture and develop smart culture and pension. The data is standardized using principal component analysis to establish the correlation coefficient matrix. The coordination index between the two subsystems is calculated, and the coordination model of the two is created based on the concepts of coordination coefficient and coefficient of variation. The subject area, Province S, is in the third stage of the coupled coordinated development during 2010-2023, with traditional culture dissemination and smart elderly care services coming to a high level, and is in a good development level during 2016-2023, with a coupled coordination degree of 8 or more. Using the VAR model, the effect of coupling development on the quality of life of elderly individuals is analyzed. Impulse response analysis of LNCCD and LNQOE: after LNCCD receives a positive shock, LNQOE shows a sharp shock effect. At this time, the response value is 0.07021, which plays a large positive effect, and then enters into a smooth development. The traditional Chinese culture dissemination and the wisdom culture of old age are in the stage of coupled development.

Research on the Visual Communication Effect of Combining Digital Art and Local Cultural Elements in Cross-cultural Communication

Abstract Digital technology has revolutionized and changed the way of interactive experience, among which digital art is widely acclaimed nowadays. This paper combines digital art with local cultural elements to create cross-cultural visual communication and constructs an evaluation index system for its effects. The weight values of the indicators calculated by the gray correlation and Euclidean distance methods are combined using the combination assignment formula. Afterward, the cloud model is used to determine the degree of affiliation of each indicator, and finally, the comprehensive evaluation results of cross-cultural visual communication of cultural elements in this paper are obtained. The cloud evaluation results show that the overall cloud body distribution interval of the cross-cultural visual communication of Guangdong local culture is (6.47, 9.65), indicating that the visual communication effect of Guangdong local cultural elements is at an excellent level. Furthermore, the study revealed that the audience spent the longest total gaze time (3.96s) on the photographic style-text bottom-left type visual images. This paper explores the role of digital art in promoting the development of local culture and cross-cultural communication, and the visual communication enhancement strategy proposed from the perspective of visual presentation opens up a new path for the visual communication of local culture.

Study on the Visual Reconstruction Path of Historical and Cultural Communication in the Information Age

Abstract The advent of the information age has ushered in a new epoch for transmitting history and culture, fundamentally reshaped by digital and visual media innovations. This research explores the potent impact of visual reconstruction on the conveyance of historical and cultural narratives, spotlighting a significant leap in public engagement. From 2012 to 2019, the audience for digital historical Content witnessed an astounding growth from 1.35 million to 26.18 million—an 18.38-fold increase. The study demonstrates that visual methods make history and culture more captivating and instructive and drastically boost user interaction, with Content receiving an average of 192,700 likes. Through a set of targeted recommendations, this paper aims to refine the visual presentation on digital platforms and amplify the interactivity of historical and cultural education, offering strategic insights for enhancing the digital and visual storytelling of our past.

Research on the Breakthrough Path of Local Media Brand Communication under the Perspective of Integration—Taking Henan TV as an Example

Research on the Breakthrough Path of Local Media Brand Communication under the Perspective of Integration—Taking Henan TV as an Example

Research and application of art design based on visual communication technology

Abstract This paper deeply discusses the art design based on visual communication technology, studies its application in modern art expression, and its influence and promotion on design aesthetics. The research starts from three aspects: the hierarchical needs of art design, the relationship between visual communication and art design expression and the integration path of art design and visual communication. Through the hierarchical analysis of art design expression content, the application of media design, composition design and metaphor design in visual art is discussed in depth. Meanwhile, the relationship between art design and visual communication is studied and the path of integration between art design and visual communication is proposed. The experimental part includes the extraction of art design style features, the recognition of artworks based on color style and texture features, and the satisfaction analysis of art design effects. The results show that the method proposed in this study has high accuracy in art style recognition, excellent performance in art texture recognition, and good feedback regarding satisfaction with art design effects. This proves the effective application of visual communication technology in art design, which is significant in promoting modern art design development.

Joint Communication and Safe 3D Path Optimization for Multi-UAV Assisted Mobile Internet of Vehicles on an Uneven Terrain

Joint Communication and Safe 3D Path Optimization for Multi-UAV Assisted Mobile Internet of Vehicles on an Uneven Terrain

Innovative Development of Enterprise New Media Communication Path in Mobile Internet Environment

Abstract In the Internet context, traditional media have gone online, and corporate new media urgently need to find a new communication direction. Establishing an innovative media communication path for enterprises in the mobile internet environment through innovative development. The decision-making optimization of corporate new media communication is based on the core objectives of minimizing the promotion cost of implanted online ads and maximizing the communication efficiency of implanted online ads. The multi-objective particle swarm optimization algorithm is used to construct the optimal decision-making model of media selection for corporate implantable online advertising, obtain the optimal solution of the model according to the objective function, and analyze the example of a corporate new media communication path. The results show that: guidance support (X4), basic positioning (X5), future layout (X6), and driving force (X1) have a significant positive influence on media functionality (Y2), and their explanatory power for implantable advertising functionality is 13.1%, 4.2%, 3.7% and 2.9% respectively, and implantable advertising functionality will become the key path of enterprise business expansion and operation mode, and functional differentiation also will become one of their competitiveness. The goal of this study is to combine new media marketing and traditional marketing to achieve complementary advantages and maximize the communication effectiveness of enterprises.

An Analysis of Urban Communication Paths from the Perspective of Media Pilgrimage

An Analysis of Urban Communication Paths from the Perspective of Media Pilgrimage

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.