User location acquisition method under the node location core edge revenue algorithm

Abstract

The invention discloses a user position acquisition method under the node position core edge income algorithm, comprising the following steps: S1, processing the captured data set; S2, weighted directed graph; S3, using the algorithm to obtain the seed node set; S4, using the seed The node set simulates information dissemination under the regulation of the dissemination model; S5, draws the final number of affected users, the present invention has a scientific and reasonable structure, and is safe and convenient to use. The research results of check-in information can more comprehensively reflect the influence of a node in the social network, and prepare for the final proposal of this paper to solve the location-based influence maximization problem algorithm in the social network. When the location access probability function and After the node location kernel edge income factor, this paper proposes a location kernel edge income algorithm, which can relatively well overcome the problem of overlapping node areas, and has higher accuracy than other heuristic algorithms.

Description

technical field [0001] The invention relates to the technical field of position acquisition, in particular to a method for acquiring user positions under a node position core-edge revenue algorithm. Background technique [0002] Nowadays, social network has become an indispensable place for online communication in people's daily life. The huge number of users makes social network a good product marketing platform for merchants. In order to maximize the business interests of merchants, "how to use the smallest cost to achieve the largest possible publicity effect in the huge social network user base" has gradually become a hot topic for researchers. Inspired by the "word-of-mouth effect" and "viral communication strategy" in the marketing field, scholars have studied a large number of information dissemination models and solving algorithms for the problem. Simulation tests have proved that these propagation models and solving algorithms are efficient and feasible. However, w...

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Problems solved by technology

Simulation tests have proved that these propagation models and solving algorithms are efficient and feasible. However, with the advancement of GPS technology and the reduction of hardware costs, the need for accurate user location is becoming more and more prominent. However, the influence of traditional social networks is maximized. The problem algorithm does not consider the dimension of user location, so a new research point emerges as the times require

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