An incremental method to detect communities in dynamic evolving social networks-Reference-Cited by-同舟云学术

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An incremental method to detect communities in dynamic evolving social networks

Published:2019-01 Issue: Volume:163 Page:404-415
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhao Zhongying,Li Chao,Zhang Xuejian,Chiclana Francisco,Viedma Enrique Herrera

Funder

National Natural Science Foundation of China

Ministry of Education in China Foundation for Humanities and Social Sciences

Natural Science Foundation of Shandong Province

Innovative Research Foundation of Qingdao

Key R&D Plan of Shandong Province

Scientific Research Foundation of SDUST for Innovative Team

Key Project of Industrial Transformation and Upgrading of China

FEDER

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference27 articles.

1. Improving performance of tensor-based context-aware recommenders using bias tensor factorization with context feature auto-encoding;Wu;Knowl.-Based Syst.,2017

2. Identifying and analyzing popular phrases multi-dimensionally in social media data;Zhao;Int. J. Data Warehouse. Min.,2015

3. A system to manage and mine microblogging data;Zhao;J. Intell. Fuzzy Syst.,2017

4. Identifying advisor-advisee relationships from co-author networks via a novel deep model;Zhao;Inform. Sci.,2018

5. Topic oriented community detection through social objects and link analysis in social networks;Zhao;Knowl.-Based Syst.,2012

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