Design of feasibility analysis platform for college physical education based on mobile social network

In order to promote the development of sports distance network education, a college sports teaching feasibility analysis platform based on mobile social network is designed. The key technologies such as Ajax, database and XML, Java Web containers applied to mobile social networks provide a technical basis for the platform design of this paper. Design the feasibility analysis platform framework using MVC mode, three platform functional modules were designed. Among it, the member function module is responsible for the registration and modification of the platform personal information of members; The feasibility analysis interactive discussion module is based on the cloud database storage and analysis platform user discussion records; The feasibility evaluation module of mobile social network is based on mobile social network, builds the hierarchical model of feasibility analysis and completes the design of feasibility analysis of distance teaching in universities. Experimental performance tested the platform, with an average response time of 2.3 ms and an analysis time of 18 ms. The feasibility analysis results of the platform have high reliability and effectiveness to meet the practical application requirements.

Autonomy-oriented proximity mobile social network modeling in smart city for emergency rescue

Nearest neighbor mobile social network means that movers approaching in position communicate through their social sensors, which is called Proximity Mobile Social Network. Proximity Mobile Social Network can provide more social and business opportunities for users. To carry out disaster relief work in post-disaster environment, we need to collect incident information during the search process and report to the sink in time. Proximity Mobile Social Network provides flexible systems for emergency handling and disaster relief. Therefore, how to find a better data forwarding and routing strategy is the key problem of post-disaster rescue, and the research of user mobility model is the basis of the above problems. This article presents an Autonomy-Oriented Proximity Mobile Social Network modeling for emergency rescue in smart city, which simulates the network operating environment. First, we verify the performance of Autonomy-Oriented Proximity Mobile Social Network model in terms of self-organization, scale-free, aggregation, and community structure. Then, the rescue efficiency is discussed through the coverage of mobile sensors. Finally, performance of the routing strategy based on Autonomy-Oriented Proximity Mobile Social Network model is analyzed, and the effectiveness of the method is proved.

Factors affecting the diffusion of mobile social network services in an aging society: value of informative, hedonic and ubiquitous services

Purpose This paper aims to identify factors affecting the continued intention to use mobile social network services (m-SNS) among middle-aged and older adults in Korea, based on the focal characteristics of mobile services and SNS. Design/methodology/approach Data were collected through an online questionnaire to understand m-SNS usage from 358 people aged over 40 years in Korea. Findings Results show that middle-aged and older users of m-SNS are strongly motivated to seek information; they prefer to use m-SNS on a habitual basis because of the ubiquitous connectivity of mobile services. Furthermore, they perceive the usefulness of m-SNS in expanding their social networks. These results can be used to identify factors that affect continued use of m-SNS by the middle-aged and older generation in Korea. Originality/value This paper expands the literature on SNS acceptance among middle-aged and older adults, the population that, in future, is expected to constitute the majority of m-SNS users. This paper can also help understand factors that affect mature consumers’ continued use of m-SNS.

UNDERSTANDING IMPACT OF MEDIA ENGAGEMENT ON ADVERTISING ACCEPTANCE AND VALUE WITHIN MOBILE SOCIAL NETWORK IN INDIAN MILLENNIALS

Social Networking sites have changed the face of advertising and media consumption massively. Even within them, Mobile Social Network or MSN’s are the latest mode of Social Media consumption that is taking over the social media sites. This study takes a conceptual model developed earlier by Linwan Wu, 2016 and applies it to the millennial populace of India. The target group was selected because they are among the highest users of MSNs in the world. The model aims to check the antecedents of MSN engagement and test the relationship between MSN engagement and advertising effectiveness. The relevant data was collected using an online survey and the results showed a significant difference from the prior study. Though Utilitarian motivation still shows a significant effect on Media Engagement, the other antecedents seemed to have stopped having an effect altogether. Additionaly, the study also shows that in the target group, the engagement with media has no effect in advertising acceptance nor on the value gained from advertising. However, perceived value of advertisement and its acceptance still hold a close relation which presents an opportunity for future researches into the reason, ie, what other factors affect engagement, acceptance and ultimately, the perceived value of ads on mobile social networks.

User tag weight assessment based on fuzzy theory in mobile social networks

Mobile social network supports mobile communication and asynchronous social networking. For enterprises, how to provide better services and create greater business value through the data and information provided by users is crucial. For example, enterprises need to build user profiles to achieve personalized recommendation and precision marketing. In view of the data modeling stage of user profile, we propose a method to evaluate user tag weight, which includes two steps. Specifically, we introduce fuzzy theory to get the initial weight interval. Then, genetic algorithm with single point crossover is used to optimize user tag weight. Experiment results show that the proposed method has better performance than other three methods applied to recommendation system.