Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Social network influence maximization method based on local and global influences

A social network and influence technology, applied in the field of social network, can solve problems such as low efficiency, achieve the effect of improving accuracy, solving the problem of maximizing social network influence, and designing reasonable

Pending Publication Date: 2020-06-12
SHANDONG UNIV OF SCI & TECH
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this algorithm pursues the accuracy of results too much, which makes it very inefficient
All in all, all four algorithms are overly focused on either efficiency or accuracy without making a proper compromise between the two

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Social network influence maximization method based on local and global influences
  • Social network influence maximization method based on local and global influences
  • Social network influence maximization method based on local and global influences

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] 1. Dataset and Experimental Setup

[0059] In this example, six public datasets of different sizes from SNAP (http: / / snap.stanford.edu / data) are used: CA-GrQc dataset, Wiki-Vote dataset, NetHEPT dataset, CA-CondMat datasets, p2p-Gnutella31 dataset and soc-Epinions1 dataset. The NetHEPT data set is a co-authored relationship network of papers in the "High Energy Physics-Theory" part from 1991 to 2003; the Wiki-Vote data set is the "referendum" network in Wikipedia; the CA-GrQc data set is extracted from "Generalized Relativity and Quantum Cosmology" part of the collaborative network; CA-CondMat dataset is a collaborative network of Arxiv condensed matter matter; p2p-Gnutella31 dataset is a peer-to-peer network of Gnutella since August 31, 2002; soc-Epinions1 dataset It's Epinions.com's Who Trusts Who Network. The static structural feature statistics of these four datasets are shown in Table 1.

[0060] Table 1: Statistics of static structural features of experimental ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a social network influence maximization method based on local and global influences, belongs to the field of social networks, and provides a two-stage filtering strategy of candidate vertexes, which comprises the following steps: firstly, selecting a certain number of source vertexes according to the local influence of the vertexes; then, searching ancestor vertexes of thesource vertexes, and screening a certain number of candidate vertexes according to the expected influence of the ancestor vertexes on the source vertexes; and finally, selecting the seed vertex from the candidate vertexes selected by the two-stage filtering strategy by utilizing the marginal income of the expected influence of the candidate vertexes on the source vertex. By means of the method, the problem of low time efficiency is solved, the accuracy of the influence range is improved, and the problem of social network influence maximization is effectively solved.

Description

technical field [0001] The invention belongs to the field of social networks, and in particular relates to a method for maximizing social network influence based on local and global influences. Background technique [0002] With the development and popularization of Internet technology, more and more people establish contact with others through social networks. As an important communication medium, social network plays an increasingly important role in public opinion control, information dissemination and public services. [0003] In marketing, budgets or resources are often limited. In this case, how to maximize the scope of information dissemination is a very important content. In order to solve this problem, we need to select a small number of influential people under the constraints of budget or resources to maximize the final spread of information, which is to maximize influence. However, the problem turns out to be an NP-hard problem. Since the problem of influence ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/00G06F30/20
CPCG06Q50/01
Inventor 仇丽青田相波
Owner SHANDONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com