Predicting sensitive relationships from email corpus

Hanhe Lin

doi:10.1109/ICGEC.2010.72

Predicting sensitive relationships from email corpus

Hanhe Lin

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper, we focus on the problem of predicting sensitive relationships from Email corpus. We refer to the problem of predicting sensitive relationships from a social network as link re-identification. We propose a predicting sensitive relationships method which has two steps. First step is counting mutual privacy communication. Second step is evaluation cluster factor. Experimental results on Enron email corpus are presented to support our analysis.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	4th International Conference on Genetic and Evolutionary Computing
Publisher	IEEE
Pages	264-267
Number of pages	4
ISBN (Electronic)	978-0-7695-4281-2
ISBN (Print)	978-1-4244-8891-9
DOIs	https://doi.org/10.1109/ICGEC.2010.72
Publication status	Published - 2010
Event	4th International Conference on Genetic and Evolutionary Computing - Shenzhen, China Duration: 13 Dec 2010 → 15 Dec 2010

Conference

Conference	4th International Conference on Genetic and Evolutionary Computing
Abbreviated title	ICGEC 2010
Country/Territory	China
City	Shenzhen
Period	13/12/10 → 15/12/10

Keywords

Email corpus
Predict
Sensitive relationships
Social network

ASJC Scopus subject areas

Computational Theory and Mathematics
Theoretical Computer Science

Access to Document

10.1109/ICGEC.2010.72

Cite this

@inproceedings{82c71ab1dc9643f8a288cd963c996b8d,

title = "Predicting sensitive relationships from email corpus",

abstract = "In this paper, we focus on the problem of predicting sensitive relationships from Email corpus. We refer to the problem of predicting sensitive relationships from a social network as link re-identification. We propose a predicting sensitive relationships method which has two steps. First step is counting mutual privacy communication. Second step is evaluation cluster factor. Experimental results on Enron email corpus are presented to support our analysis.",

keywords = "Email corpus, Predict, Sensitive relationships, Social network",

author = "Hanhe Lin",

note = " {\textcopyright} 2010 IEEE; 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 ; Conference date: 13-12-2010 Through 15-12-2010",

year = "2010",

doi = "10.1109/ICGEC.2010.72",

language = "English",

isbn = "978-1-4244-8891-9",

pages = "264--267",

booktitle = "Proceedings",

publisher = "IEEE",

}

TY - GEN

T1 - Predicting sensitive relationships from email corpus

AU - Lin, Hanhe

PY - 2010

Y1 - 2010

N2 - In this paper, we focus on the problem of predicting sensitive relationships from Email corpus. We refer to the problem of predicting sensitive relationships from a social network as link re-identification. We propose a predicting sensitive relationships method which has two steps. First step is counting mutual privacy communication. Second step is evaluation cluster factor. Experimental results on Enron email corpus are presented to support our analysis.

AB - In this paper, we focus on the problem of predicting sensitive relationships from Email corpus. We refer to the problem of predicting sensitive relationships from a social network as link re-identification. We propose a predicting sensitive relationships method which has two steps. First step is counting mutual privacy communication. Second step is evaluation cluster factor. Experimental results on Enron email corpus are presented to support our analysis.

KW - Email corpus

KW - Predict

KW - Sensitive relationships

KW - Social network

UR - http://www.scopus.com/inward/record.url?scp=79952566075&partnerID=8YFLogxK

U2 - 10.1109/ICGEC.2010.72

DO - 10.1109/ICGEC.2010.72

M3 - Conference contribution

AN - SCOPUS:79952566075

SN - 978-1-4244-8891-9

SP - 264

EP - 267

BT - Proceedings

PB - IEEE

T2 - 4th International Conference on Genetic and Evolutionary Computing

Y2 - 13 December 2010 through 15 December 2010

ER -

Predicting sensitive relationships from email corpus

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this