Research of Website Community Identification Based on Node2vec

DOI

10.2991/ncce-18.2018.99How to use a DOI?

Keywords

Website community; Graph theory; Affinity measurement; node2vec

Abstract

In recent years, the world has witnessed massive growth in the field of information technology and intelligent device, giving rise to exponentially expansion of internet websites in terms of quantity as well as complexity. Meanwhile, the public has also enlarged demand for characteristic analysis of internet websites, since they become an indispensable element of everyone's daily life. One significant focus is website community identification, which is able to optimize user experience and resource allocation to a large extent. In this paper, we present a comprehensive solution featuring node2vec algorithm to identify website community, expressly discovered website relationship from vast user behaviors which has been ignored for long. The experiment credibly demonstrates availability and reliability of our solution, which is significative in practical application.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Xiao
AU  - Jun Liu
PY  - 2018/05
DA  - 2018/05
TI  - Research of Website Community Identification Based on Node2vec
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 609
EP  - 616
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.99
DO  - 10.2991/ncce-18.2018.99
ID  - Xiao2018/05
ER  -