Abstract
In the context of today’s network era, rich social networks and convenient network communication make different individuals and groups interact and transmit information in more diversified ways, which also bring new dissemination in information of crowd-sourcing tasks. The paper analyzes mobile behavior characteristics of users from different perspectives, such as spatial activity behavior and location type preference, and constructs a user space mobile behavior model based on the physical world. At the same time, it analyzes the social influence of users in social networks and mode of information transmission. In the paper, real data sets are adopted, mathematical modeling and computer simulation are combined to build an information communication model around the social influence of users in social networks, and the rules of information communication in new environment of social networks are depicted in combination with users’ spatial movement.
Highlights
With the development of mobile communication technology, social network has changed a lot
The progress of the Internet has promoted the rapid development of social network services (SNS) [1]
Crowd-sourcing is widely regarded as emerging human-powered sensing power [2] and plays crucial role in different areas, such as indoor, sharing urban environment data [3], participant recruitment [4], automatically measuring organizational behavior [5], collaborative crowd density estimation with mobile phones [6], use of Bluetooth for analyzing of human movement [7], quantification of the level of crowdedness for pedestrian movements [8], localization [9], Pollen onsets detection [10], and relative research [11, 12]. e world has ushered in the era of the Internet. e cost of communication between people is getting lower and lower
Summary
College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China. In the context of today’s network era, rich social networks and convenient network communication make different individuals and groups interact and transmit information in more diversified ways, which bring new dissemination in information of crowd-sourcing tasks. E paper analyzes mobile behavior characteristics of users from different perspectives, such as spatial activity behavior and location type preference, and constructs a user space mobile behavior model based on the physical world. It analyzes the social influence of users in social networks and mode of information transmission. Real data sets are adopted, mathematical modeling and computer simulation are combined to build an information communication model around the social influence of users in social networks, and the rules of information communication in new environment of social networks are depicted in combination with users’ spatial movement
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