A model for estimating the out-degree of nodes in associated semantic network from semantic feature view-Reference-Cited by-同舟云学术

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A model for estimating the out-degree of nodes in associated semantic network from semantic feature view

Published:2016-03-22 Issue:15 Volume:28 Page:4177-4193
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Zhang Shunxiang¹,Wang Yin¹,Liu Weidong²,Yin Xiaobo¹²

Affiliation:

1. Anhui University of Science and Technology; China

2. School of Computer Engineering and Science; Shanghai University; China

Funder

Natural Science Foundation of Anhui Province University

Natural Science Foundation of Anhui Province

National Science Foundation of China

Opening Project of Shanghai Key Laboratory of Integrate Administration Technologies for Information Security

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3819/fullpdf

Reference35 articles.

1. Diameter of the world-wide Web;Albert;Nature,1999

2. On power-law relationships of the internet topology;Faloutsos;Comp. Comm. Rev.,1999

3. Kovács I Mizsei R Csermely P A unified data representation theory for network visualization, ordering and coarse-graining 2015

4. Barzel B Liu Y-Y Barabási A-L Constructing minimal models for complex system dynamics 2015

5. Exploring complex networks;Strogatz;Nature,2001

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The automatic estimating method of the in-degree of nodes in associated semantic network oriented to big data;Cluster Computing;2016-10-01

2. Building associated semantic representation model for the ultra-short microblog text jumping in big data;Cluster Computing;2016-07-18

3. Big data-related technologies and applications;Concurrency and Computation: Practice and Experience;2016-04-06

4. Research of Dependent Tasks Scheduling Algorithm in Cloud Computing Environments;ITM Web of Conferences;2016

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