Analysis of Network User Virtual Identity Based on Hadoop

He, Gang; Qiu, Wenlong; Yu, Dechen; Wu, Xiaochun

doi:10.1109/ihmsc.2015.153

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“…The massive data reaching PB even TB level contains huge information including users' accounts and behaviors, messages. In the previous study, they just do some simple and analysis on NUVIs [7] or users behaviors [8] or not accurate enough [5]. Our research aims to make full use of NUVIs, such as QQ, WeChat, E-mail, forum account etc.…”

Section: Introductionmentioning

confidence: 99%

Implement Of Network User Virtual Identity Merging Based on Spark

He¹,

Chen²

2017

Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

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With the rapid development of Internet, people show growing dependence on network communications. Each user has a lot of network virtual identities because of the explosive increase of network applications. Compared with previous work, our study proposes an algorithm to find virtual identities which belong to the same natural person. On the other hand, in view of massive data from users' access records, our study is based on a quick, general engine with ease of use for large-scale data processing platform and clustering system called Spark.

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Section: Introductionmentioning

confidence: 99%