Using Transactional Information to Predict Link Strength in Online Social Networks

Indika Kahanda; Jennifer Neville

doi:10.1609/icwsm.v3i1.13957

Using Transactional Information to Predict Link Strength in Online Social Networks

Purdue University

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009
Pages	74-81
Number of pages	8
ISBN (Electronic)	9781577354215
DOIs	https://doi.org/10.1609/icwsm.v3i1.13957
State	Published - May 20 2009
Externally published	Yes
Event	3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009 - San Jose, United States Duration: May 17 2009 → May 20 2009

Publication series

Name	Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009

Conference

Conference	3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009
Country/Territory	United States
City	San Jose
Period	5/17/09 → 5/20/09

ASJC Scopus Subject Areas

Computer Networks and Communications
Software

Access to Document

10.1609/icwsm.v3i1.13957

Cite this

Using Transactional Information to Predict Link Strength in Online Social Networks. / Kahanda, Indika; Neville, Jennifer.
Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009. 2009. p. 74-81 (Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009).

Research output: Chapter or Contribution to Book › Literary contribution

Kahanda, I & Neville, J 2009, Using Transactional Information to Predict Link Strength in Online Social Networks. in Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009. Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009, pp. 74-81, 3rd International AAAI Conference on Weblogs and Social Media, ICWSM 2009, San Jose, United States, 5/17/09. https://doi.org/10.1609/icwsm.v3i1.13957

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Using Transactional Information to Predict Link Strength in Online Social Networks

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this