Efficient Information Dissemination Research Articles

Research on the Characteristics and Influencing Factors of Economic Information Dissemination in the New Media Era

With the rapid development of internet technology, social media platforms, and the proliferation of mobile devices, the ways in which people access, process, and disseminate economic information are increasingly diversified. In the economic sector, the rise of new media has led to economic information dissemination displaying distinct characteristics of immediacy, interactivity, and diversity. Information spreads faster, allowing market dynamics and policy adjustments to quickly reach a broad audience. The public actively participates in discussions through new media platforms, forming a two-way interactive information exchange model, thereby meeting the personalized needs of different audiences. To drive the transformation of information dissemination, technological factors play a significant role. The development of new media technology provides broader space for information dissemination, while economic and social factors also have a profound impact, changing the content and methods of information dissemination. To address the challenges of the new media era, it is necessary to improve based on actual conditions, gradually enhance the quality of information, and ensure its authenticity and accuracy; use new media technology to increase the efficiency of information dissemination; enhance interactivity, encourage public participation in discussions; optimize communication channels, select appropriate platforms for the audience, improve the effectiveness of economic information dissemination, and better serve socio-economic development.

Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV

Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV

E- NOTICE BOARD PORTAL

The Web-Based Notice Board Portal is a dynamic and user-friendly online platform designed to facilitate efficient communication and information dissemination within organizations, institutions, and communities. The project is concerned with managing notice board information through online. The project contains department, circulars, events, holidays, functions, seminars, sports, competitions and placement information processing through web pages.The administrator logins to the web site and adds all the department details. Various day-to-day activities to be announcement to all staff and students are stored as records instead on printing the information and placing in physical notice board as hard copies. During the notices entry like function or seminars, the details can be mail alerted to given staffs. Various search options are provided for easy data retrieval to administrator and staff, students. Keywords—ubiquitous life and learning, smart campus, digital notice boards, context aware IoE, GSM Module, Control Centre.

A network perspective on tourism waste management: An evolutionary game analysis of stakeholders' participation in the Third Pole region

There is a striking absence of complex network models and extensive analysis of behavioral factors in the field of waste management research. Moreover, research on effective collaboration among different stakeholders in tourism waste management in the Third Pole region is currently lacking, despite the increasing involvement of various groups. Therefore, this paper aims to explore the cooperative relationship between multiple stakeholders in tourism waste management using the Lulang Scenic Area as a case study. A field investigation and complex network evolutionary game simulation were used to identify the cooperation dynamics between multiple stakeholders. The results indicate the following. (1) The stakeholder network characterized by small-world dynamics has efficient information diffusion and cooperation. (2) A threshold value for positive externalities and returns on investment exists, beyond which stakeholders are more inclined to participate in sustainable waste management. (3) Incentives below the threshold attract direct stakeholders in waste generation and management, whereas incentives above it draws in a broader range of stakeholders, primarily indirect stakeholders. (4) A critical mass of cooperative stakeholders tends to create a demonstration effect that encourages additional participation, supporting the growth of cooperative networks in tourism waste management. This paper innovatively shows the potential of a cooperation strategy between multiple stakeholders strengthened by appropriate incentives.

A Tamper-Resistant Broadcasting Scheme for Secure Communication in Internet of Autonomous Vehicles

As increasingly prevalent technologies in autonomous driving, 5G and the Internet of Things (IoT), Internet of autonomous vehicle (IoAV) technology is recognized as a technique that is capable of disruptively changing the way people travel and greatly improving the travel experience. In the IoAV scenarios, information dissemination is inseparable from the interaction between autonomous vehicles and smart infrastructure. However, existing efforts rarely focus on the secrecy, authenticity of interactive data and flexible one-to-many communication between autonomous vehicles. In this paper, we propose a tamper-resistant broadcasting (TRBS) scheme for secure communication, which handles the inefficiencies and insecurity of existing identity-based broadcast signcryption solutions. Not only can our TRBS protect communication data from being illegally accessed, forged, or tampered with by malicious vehicles, but it can also enable efficient and flexible secure information dissemination between autonomous vehicles. We also exhibit strict security proofs and experimental evaluations to demonstrate our TRBS is secure and efficient for real-world applications.

RDVFF- Reliable Data Dissemination in Vehicular Ad Hoc Networks Based on Validation of Far to Farthest Zone

<p>The rise of connected and autonomous vehicles has resulted in the development of vehicular ad hoc networks (VANETs) as a means of improving road safety, traffic efficiency, and passenger comfort. However, VANETs present challenges to achieving reliability and service quality in networks suffered highly by broadcast storms due to their mobility, scalability, and high node density. By addressing such challenges, this paper seeks to contribute to solving the problem of efficient information dissemination by diluting the broadcast storm and coverage issues by proposing a novel relay selection scheme based on the validation of the far-to-farthest zone technique. A flag control suppression mechanism is presented to overcome repeated information problems. RDVFF includes a separate algorithm for the optimization of participants for relay inclusion to address the latency issue during communication based on a multi-directional multiple-selection scheme. Compared with state-of-art protocols in terms of throughput, delivery ratio, collision, and latency experimental results show improvement of an average of 21.27%, 18.34%, 36.76%, and 38.04% respectively.</p> <p> </p>

Evaluation Method of Information Dissemination Efficiency within Professional Virtual Community: Based on Chinese College and University Students

Evaluation Method of Information Dissemination Efficiency within Professional Virtual Community: Based on Chinese College and University Students

Analysis of the change path of news dissemination under the trend of short-video convergence - Based on multi-priority dynamic thresholding algorithm

Abstract This paper proposes a multi-priority dynamic threshold algorithm for short video news transmission. The average queue threshold is dynamically adjusted according to the packet priority and unused cache space, and the data frames of short video news nodes are processed into multiple pulse data segments after the encoding process. The success rate and confidentiality of data transmission are improved by scrambling each segment of pulse data. Finally, after updating the thresholds at all levels, the overall thresholds of short video news are kept full to meet the performance requirements of the highest priority queue of short video news. The results show that 95.03% of the short video news with a high dissemination degree has a file size of less than 5 MB, and its video length is most popular among users in the range of 8~15 seconds. Compared to the traditional news dissemination mode, short video news is not limited by time and space, which greatly improves the efficiency of information dissemination.

Implementation of The Citizen Services Information System RW 016 Kapuk West Jakarta City

The advent of e-government in Indonesia, initiated by the Presidential Instruction in 2003, has paved the way for the digital transformation of governmental services at both national and regional levels. This research focuses on the utilization of this transformation by Rukun Warga (RW) 16, Kapuk Village, West Jakarta, demonstrating a shift towards digital-based administration in local governance. The study aims to facilitate more efficient and effective communication and information dissemination between the RW.16 administrative body and its residents. The deployment of the proposed application is expected to streamline public service processes by providing residents with comprehensive access to various public services information specific to RW.16. Furthermore, the application empowers residents to submit letters, express their aspirations, and report environmental issues directly to the RW.16 management, thereby enabling prompt resolution of these concerns. The application's development adhered to the System Development Life Cycle (SDLC) using the waterfall methodology, ensuring a structured and sequential approach. The backend database is built on MySQL, while the front-end interfaces are developed using HTML and PHP, supported by the Laravel framework. This study highlights the potential of e-government initiatives in enhancing public service delivery and community engagement.

PROFEE: A Probabilistic-Feedback Based Speed Rate Adaption for IEEE 802.11bc

WiFi is a widely used wireless technology for data transmission. WiFi can also play a crucial role in simultaneously broadcasting content to multiple devices in multimedia transmission for venues such as classrooms, theaters, and stadiums, etc. Broadcasting allows for the efficient dissemination of information to all devices connected to the network, and it becomes crucial to ensure that the WiFi network has sufficient capacity to transmit broadcast multimedia content without interruptions or delays. However, using WiFi for broadcasting presents challenges that can impact user experience, specifically the difficulty of obtaining real-time feedback from potentially hundreds or thousands of users due to potential collisions of feedback messages. This work focuses on providing accurate feedback to the Access Point about the percentage of users not receiving broadcast traffic correctly so it can adjust its Modulation and Coding Scheme (MCS) while transmitting broadcast multimedia content to many users. The proposed method is comprised of two sequential algorithms. In order to reduce the probability of a collision after transmitting each message, an algorithm searches for the best probability value for users to transmit ACK/NACK messages, depending on whether messages are received correctly or not. This feedback allows the Access Point to estimate the number of STAs correctly/incorrectly receiving the messages being transmitted. A second algorithm uses this estimation so the Access Point can select the best MCS while maintaining the percentage of users not receiving broadcast content correctly within acceptable margins, thus providing users with the best possible content quality. We implemented the proposed method in the ns-3 simulator, and the results show it yields quick, reliable feedback to the Access Point that was then able to adjust to the best possible MCS in only a few seconds, regardless of the user density and dimensions of the scenario.

Does corporate ESG disclosure enhance investor relationship management? Evidence from China

AbstractThis study investigates the enhancing effect of environmental, social, and governance (ESG) disclosure on investor relations management (IRM). The better the ESG disclosure, the higher the level of IRM. furthermore, this enhancement is achieved by reducing information asymmetry, improving information dissemination efficiency, and attracting investors attention, and it is more prominent in a sound institutional environment and a concentrated shareholding structure. Moreover, institutional investors show greater receptivity to ESG‐driven IRM compared to individual investors. Finally, we indicate that IRM is enhanced by ESG disclosure, ultimately fostering high‐quality corporate development. These findings provide valuable insights for promoting the standardisation of ESG disclosure and optimising IRM practices.

A new technique for influence maximization on social networks using a moth-flame optimization algorithm

In our modern digital era, social networks have seamlessly integrated into the fabric of our daily lives. These digital platforms serve as vital channels for communication, exchanging information, and cultivating valuable connections. The propagation of information within these social networks has emerged as a central focus for numerous sectors, including politics, marketing, research, education, and finance. Diverse models have been employed to depict the dynamics of information dissemination across these networks. Nevertheless, the notion of influence holds profound significance for both businesses and individuals. Influence maximization, particularly within the context of social networks, has garnered considerable attention owing to its potential to reach and impact a broad audience. This intricate challenge is commonly referred to as the “influence maximization problem,” a problem well-known for its NP-hard complexity. This paper proposes a cutting-edge technique that leverages the Moth-Flame Optimization Algorithm to enhance influence maximization. Influence maximization is an important issue in network analysis, which widely occurs in social networks. Influence can be seen as a cascading effect, where the actions of a few trigger a chain reaction, ultimately reaching a large portion of the network. Identifying these “influencers” is crucial for efficient resource allocation and information dissemination. One of the important issues in finding the maximum influence is choosing the best vertex among all the vertices in the graph. This research presents a new method to find the maximum influence in social networks based on the Moth-Flame Algorithm (MFA). The proposed method aims to find the maximum influence in the social network graph that has a good fitness degree. The algorithm can identify potential influencers. Our simulations across multiple networks have unequivocally showcased the superiority of this algorithm as the preeminent and scalable solution to the influence maximization problem. The experimental outcomes clearly delineate that the employment of the MFA (Maximal First Activation) approach effectively diminishes the execution time required to approximate the maximum influence. The proposed technique improved the accuracy and excucation time by 3.140 % and 12.2 % compared to other methods.

Digital financial inclusion and quality of economic growth

Recently, digital financial inclusion has experienced rapid growth, introducing transformative changes to the finance industry. Its attributes of low cost, extensive coverage, and efficient cross-temporal and spatial information dissemination have had a significant impact on both economic growth and social development. This study, using China's provincial panel data, measures the quality of economic growth based on technological innovation, coordinated development, environmental protection, opening to the outside world, and people's livelihood. It verifies the impact of digital financial inclusion on the quality of economic growth by utilizing the panel fixed effect model, mediation effect model, panel threshold model, and spatial Durbin model. Digital financial inclusion has a positive impact on the quality of economic growth, particularly in the eastern region and regions with high marketization. It can effectively promote the quality of economic growth by stimulating entrepreneurial vitality, and has had a positive and increasing non-linear effect on the quality of economic growth over the past few years. Moreover, digital financial inclusion can promote the quality of economic growth in neighboring regions. Therefore, the quality of economic growth can be significantly improved by expanding the coverage breadth and usage depth of digital financial inclusion.

Cloud-Edge Collaboration Dynamics Information Dissemination Model for Social Internet of Things

Studying the mechanism of information dissemination in Social Internet of Things (SIoT) has practical significance for real-time information control and scientific management decision-making in real world. Aiming at the problem of how to realize the information interaction between people, people and things, and things and things in SIoT, we propose a cloud-edge collaborative dynamic information dissemination model (CCDIDM) for SIoT. Firstly, considering the interactive influence of information dissemination between individual users, between IoT devices, and between users and devices, the coupling relationship between nodes is established. Based on the theory of dissemination dynamics, the information propagation process between coupled nodes of SIoT is analyzed, and the efficient interactive dissemination of information is simulated. Theoretical analysis of the model is carried out, and the information dissemination threshold and the stability of the equilibrium point are deduced. Simulation results are consistent with the theoretical analysis, demonstrating that CCDIDM can describe information dissemination. Simultaneously, it was found that, stronger the perception awareness of individual users, smaller the scale of information dissemination. In addition, the influence of various parameters on the scale of information dissemination is verified. Adjusting the size of such parameters can promote or inhibit the dissemination of information.

How do urban socio-economic characteristics shape a city's social recovery? An empirical study of COVID-19 shocks in China

The COVID-19 pandemic outbreak significantly challenged the cities' abilities to recover from shocks, and cities' responses have widely differed. Understanding these disparate responses has been insufficient, especially from a social recovery perspective. In this study, we propose the concept of social recovery and develop a comprehensive perspective on how a city's socioeconomic characteristics affect it. The analytical framework is applied to 296 prefecture-level cities in China, with social recovery measured by the changes in intercity intensity between the pre-pandemic baseline (2019 Q1 and Q2) and the period in which the pandemic slightly abated (2020 Q1 and Q2) through anonymized location-based big data. The results indicate that the social recovery of Chinese cities during the COVID-19 pandemic are significantly spatially correlated. Cities with larger populations, a higher proportion of GDP in the secondary industry, higher road density or more adequate medical resources tend to recover socially better. Moreover, these municipal characteristics have significant spatial spillover effects. Specifically, city size, government intervention and industrial structure show negative spillover effects on neighboring areas while information dissemination efficiency, road density, and the number of community health services per capita have positive spillover. This study fills the knowledge gap regarding the different performances of cities when they face pandemic shocks. The assessment of a city's social recovery is an insight into the theoretical framework of vulnerability that aids in translating it into urban resilience. Hence our findings provide practice implications for China and beyond as the interest in urban-resilience development surges around the post-pandemic world.

Market Demand Optimization Model Based on Information Perception Control

The development of Internet technology and the rise of social networks have expanded the means of product information dissemination. Nowadays, consumers can obtain not only product quality information through real life contacts, but can also obtain product cognitive information through virtual networks, which constitute consumers’ information perception together. However, information in the market can be controlled, and companies can change the perceptions of their consumer base towards their products by enhancing the dissemination of information on the Internet, thus achieving higher corporate revenue. This article aims to study the evolution process of market demand under the control of consumers’ information perception, and a two-layer network model consisting of a cognitive information layer and a quality information layer were constructed. In order to improve product information dissemination efficiency, the opinion leaders who are more active in responding to mentions of the product across social networks are selected, and these opinion leaders are influenced in a stepwise manner using the maximum influence model, thus investigating the relationship between resources and corporate revenue. Using scale-free networks for simulation analysis, there are three main conclusions. First, the cognitive information and quality information of the product could affect market demand. Second, product demand and company profits would increase significantly if key individuals were added to the cognitive information layer. Third, the incremental marginal effect of key individuals decreases as their number increases.

Probabilistic Flooding Performance Analysis Exploiting Graph Spectra Properties

Probabilistic flooding is an efficient information dissemination policy capable of spreading information to the network nodes by sending <i>information messages</i> according to a fixed <i>forwarding probability</i> in a per-hop manner starting from an <i>initiator</i> node. It is a suitable approach, especially in topologies where the number of information messages sent under traditional approaches is significantly increased. The analysis presented in this paper considers graph spectra properties such as the <i>largest eigenvalue</i> <inline-formula> <tex-math notation="LaTeX">$\lambda_1$</tex-math> </inline-formula> of the adjacency matrix, and the <i>eigenvector centrality</i>. Both are analytically investigated and <inline-formula> <tex-math notation="LaTeX">$\frac{4}{\lambda_1}$</tex-math> </inline-formula> is derived as a <i>lower bound</i> of the forwarding probability that allows for <i>global coverage</i>, i.e., all network nodes receive the information message, under certain conditions also investigated here (e.g., the condition of the binomial approximation). It is shown that for any value of the forwarding probability equal to or larger than <inline-formula> <tex-math notation="LaTeX">$\frac{4}{\lambda_1}$</tex-math> </inline-formula>: (i) coverage is proportional to the initiator node&#x2019;s eigenvector centrality; (ii) the probability a node receives the information message is proportional to the node&#x2019;s eigenvector centrality; (iii) <i>termination time</i> decreases as the initiator node&#x2019;s eigenvector centrality increases. If knowledge of <inline-formula> <tex-math notation="LaTeX">$\lambda_1$</tex-math> </inline-formula> is not available, then the <i>average node degree</i> <inline-formula> <tex-math notation="LaTeX">$\bar{d}$</tex-math> </inline-formula> can be used for ensuring global coverage. If knowledge of both <inline-formula> <tex-math notation="LaTeX">$\lambda_1$</tex-math> </inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\bar{d}$</tex-math> </inline-formula> is not available, a dissemination policy is proposed that forwards messages to <inline-formula> <tex-math notation="LaTeX">$m$</tex-math> </inline-formula> (randomly selected) neighbor nodes. It is analytically shown that any value of <inline-formula> <tex-math notation="LaTeX">$m \geq 4$</tex-math> </inline-formula> allows for global coverage. Simulation results demonstrate the effectiveness of the considered analytical approach and the introduced policy.

Information Dissemination Prediction of College Students’ Learning Requirements Based on Mobile Social Network

Starting point of this research is the information dissemination and fluctuation of the learning requirements of college students between the student individuals and the mobile learning platforms, to solve this problem, it’s of certain practical value to explore the information dissemination efficiency of college students’ learning requirements under different conditions and study the prediction accuracy optimization method. However, existing studies generally focus on the feasibility of applying existing methods to the prediction of college students’ learning requirements, but the research on such prediction is neither sufficient nor deep enough. This paper constructed a model of college students’ mobile social network based on the actual data of college students’ mobile social behaviors, and innovatively proposed a novel algorithm for predicting college students’ requirements for mobile learning. At last, experimental results verified the effectiveness of the constructed model and the proposed algorithm.

Research on employment psychological guidance of college students under the background of new media

With the rapid progress of our society, people have paid more attention to the development of university education. Career guidance is one of the important tasks in college education, especially in the current situation of college students' employment pressure, whether the employment guidance work can be carried out well will have a direct impact on the employment situation of college students. Under the development of information technology, a series of technical means led by new media have emerged one after another, which has greatly improved the efficiency of information dissemination and has a very good auxiliary role in the development of university employment guidance, and the psychological guidance of college students' employment has become inevitable.

An Analysis of Crisis Public Relations Strategies for Food Safety in the New Media Era: The Haitian Soy Sauce Controversy as an Example

With the rapid development of new media, China's traditional media is facing new challenges, and enterprises are also facing greater crisis management pressure. 2022, China's Haitian Taste, a seasoning enterprise, was caught in a serious crisis because of the "food additives" issue, and its three public statements failed to solve the problem properly, which led to a huge loss for the enterprise. The purpose of this study was to analyze the reason for the failure of digital anti-crisis public relations due to the problem with Haitian Taste food additives in 2022. The authors adopt the case analysis method to conduct a horizontal analysis an example of the crisis PR practice of Haitian Taste. Accordingly, the authors discussed the reasons for the failure of digital anti-crisis public relations. A proposal was made on how to implement effective digital crisis management and digital public relations response, as well as other related strategies, in order to learn lessons for future enterprises. By analyzing the food additive crisis of Haitian Taste in 2022, we discuss the reasons for the failure of its crisis public relations, and at the same time propose how to carry out effective crisis management and public relations response and other related strategies, to provide lessons for future enterprises. This incident fully demonstrates that, in today's increasingly efficient information dissemination, enterprises must update their crisis response strategies, meet public needs promptly, and regain users' trust through openness and sincerity to minimize losses. In addition, food companies should improve crisis anticipation, pay attention to user ex-perience, and focus on food safety issues to cope with the increasing social norms. The data obtained by the authors can be useful not only for food industry enterprises, but also for all those involved in digital crisis management, marketing communications, and in particular, public relations.