KPMCF: a learning model for measuring social relationship strength

Youliang Zhong; Xiaoming Zheng; Jian Yang; Mehmet A. Orgun; Yan Wang

doi:10.1007/978-3-642-41154-0_43

KPMCF

a learning model for measuring social relationship strength

Youliang Zhong, Xiaoming Zheng, Jian Yang, Mehmet A. Orgun, Yan Wang

Department of Computing

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

Abstract

We present the demonstration of the KPMCF model for measuring relationship strength, highlighting the concepts of the model, two experimental applications, and a comparison with other methods.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2013
Subtitle of host publication	14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part 2
Editors	Xuemin Lin, Yannis Manolopoulos, Divesh Srivastava, Guangyan Huang
Place of Publication	Heidelberg
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	519-522
Number of pages	4
ISBN (Electronic)	9783642411540
ISBN (Print)	9783642411533
DOIs	https://doi.org/10.1007/978-3-642-41154-0_43
Publication status	Published - 2013
Event	14th International Conference on Web Information Systems Engineering, WISE 2013 - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	8181
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Web Information Systems Engineering, WISE 2013
Country	China
City	Nanjing
Period	13/10/13 → 15/10/13

Access to Document

10.1007/978-3-642-41154-0_43

Link to publication in Scopus

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Zhong, Y., Zheng, X., Yang, J., Orgun, M. A., & Wang, Y. (2013). KPMCF: a learning model for measuring social relationship strength. In X. Lin, Y. Manolopoulos, D. Srivastava, & G. Huang (Eds.), Web Information Systems Engineering, WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part 2 (pp. 519-522). (Lecture Notes in Computer Science; Vol. 8181). Heidelberg: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1007/978-3-642-41154-0_43

Zhong, Youliang ; Zheng, Xiaoming ; Yang, Jian ; Orgun, Mehmet A. ; Wang, Yan. / KPMCF : a learning model for measuring social relationship strength. Web Information Systems Engineering, WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part 2. editor / Xuemin Lin ; Yannis Manolopoulos ; Divesh Srivastava ; Guangyan Huang. Heidelberg : Institute of Electrical and Electronics Engineers (IEEE), 2013. pp. 519-522 (Lecture Notes in Computer Science).

@inproceedings{36cc4641c383481cb9a0155ffcaeb22c,

title = "KPMCF: a learning model for measuring social relationship strength",

abstract = "We present the demonstration of the KPMCF model for measuring relationship strength, highlighting the concepts of the model, two experimental applications, and a comparison with other methods.",

author = "Youliang Zhong and Xiaoming Zheng and Jian Yang and Orgun, {Mehmet A.} and Yan Wang",

year = "2013",

doi = "10.1007/978-3-642-41154-0_43",

language = "English",

isbn = "9783642411533",

series = "Lecture Notes in Computer Science",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "519--522",

editor = "Xuemin Lin and Yannis Manolopoulos and Divesh Srivastava and Guangyan Huang",

booktitle = "Web Information Systems Engineering, WISE 2013",

address = "United States",

}

Zhong, Y, Zheng, X, Yang, J , Orgun, MA & Wang, Y 2013, KPMCF: a learning model for measuring social relationship strength. in X Lin, Y Manolopoulos, D Srivastava & G Huang (eds), Web Information Systems Engineering, WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part 2. Lecture Notes in Computer Science, vol. 8181, Institute of Electrical and Electronics Engineers (IEEE), Heidelberg, pp. 519-522, 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-41154-0_43

KPMCF : a learning model for measuring social relationship strength. / Zhong, Youliang; Zheng, Xiaoming; Yang, Jian ; Orgun, Mehmet A.; Wang, Yan.

Web Information Systems Engineering, WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part 2. ed. / Xuemin Lin; Yannis Manolopoulos; Divesh Srivastava; Guangyan Huang. Heidelberg : Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 519-522 (Lecture Notes in Computer Science; Vol. 8181).

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

TY - GEN

T1 - KPMCF

T2 - a learning model for measuring social relationship strength

AU - Zhong, Youliang

AU - Zheng, Xiaoming

AU - Yang, Jian

AU - Orgun, Mehmet A.

AU - Wang, Yan

PY - 2013

Y1 - 2013

N2 - We present the demonstration of the KPMCF model for measuring relationship strength, highlighting the concepts of the model, two experimental applications, and a comparison with other methods.

AB - We present the demonstration of the KPMCF model for measuring relationship strength, highlighting the concepts of the model, two experimental applications, and a comparison with other methods.

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DO - 10.1007/978-3-642-41154-0_43

M3 - Conference proceeding contribution

SN - 9783642411533

T3 - Lecture Notes in Computer Science

SP - 519

EP - 522

BT - Web Information Systems Engineering, WISE 2013

A2 - Lin, Xuemin

A2 - Manolopoulos, Yannis

A2 - Srivastava, Divesh

A2 - Huang, Guangyan

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Heidelberg

ER -

Zhong Y, Zheng X, Yang J , Orgun MA , Wang Y. KPMCF: a learning model for measuring social relationship strength. In Lin X, Manolopoulos Y, Srivastava D, Huang G, editors, Web Information Systems Engineering, WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part 2. Heidelberg: Institute of Electrical and Electronics Engineers (IEEE). 2013. p. 519-522. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-41154-0_43