Analysis of link formation, persistence and dissolution in NetSense data

Ashwin Bahulkar; Boleslaw K. Szymanski; Omar Lizardo; Yuxiao Dong; Yang Yang; Nitesh V. Chawla

doi:10.1109/ASONAM.2016.7752391

Analysis of link formation, persistence and dissolution in NetSense data

Ashwin Bahulkar, Boleslaw K. Szymanski, Omar Lizardo, Yuxiao Dong, Yang Yang, Nitesh V. Chawla

Management and Organizations

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

5 Scopus citations

Abstract

We study a unique behavioral network data set (based on periodic surveys and on electronic logs of dyadic contact via smartphones) collected at the University of Notre Dame. The participants are a sample of members of the entering class of freshmen in the fall of 2011 whose opinions on a wide variety of political and social issues and activities on campus were regularly recorded - at the beginning and end of each semester - for the first three years of their residence on campus. We create a communication activity network implied by call and text data, and a friendship network based on surveys. Both networks are limited to students participating in the NetSense surveys. We aim at finding student traits and activities on which agreements correlate well with formation and persistence of links while disagreements is highly correlated with non-existence or dissolution of links in the two social networks that we created. Using statistical analysis and machine learning, we observe several traits and activities displaying such correlations, thus being of potential use to predict social network evolution.

Original language	English (US)
Title of host publication	Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Editors	Ravi Kumar, James Caverlee, Hanghang Tong
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1197-1204
Number of pages	8
ISBN (Electronic)	9781509028467
DOIs	https://doi.org/10.1109/ASONAM.2016.7752391
Publication status	Published - Nov 21 2016
Event	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 - San Francisco, United States Duration: Aug 18 2016 → Aug 21 2016

Publication series

Name	Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016

Other

Other	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Country	United States
City	San Francisco
Period	8/18/16 → 8/21/16

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Keywords

NetSense
evolving networks
link persistence
link prediction
social networks

ASJC Scopus subject areas

Computer Networks and Communications
Sociology and Political Science
Communication

Cite this

Bahulkar, A., Szymanski, B. K., Lizardo, O., Dong, Y., Yang, Y., & Chawla, N. V. (2016). Analysis of link formation, persistence and dissolution in NetSense data. In R. Kumar, J. Caverlee, & H. Tong (Eds.), Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 (pp. 1197-1204). [7752391] (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2016.7752391

Bahulkar, Ashwin ; Szymanski, Boleslaw K. ; Lizardo, Omar ; Dong, Yuxiao ; Yang, Yang ; Chawla, Nitesh V. / Analysis of link formation, persistence and dissolution in NetSense data. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. editor / Ravi Kumar ; James Caverlee ; Hanghang Tong. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1197-1204 (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

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Bahulkar, A, Szymanski, BK, Lizardo, O, Dong, Y, Yang, Y & Chawla, NV 2016, Analysis of link formation, persistence and dissolution in NetSense data. in R Kumar, J Caverlee & H Tong (eds), Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016., 7752391, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1197-1204, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, United States, 8/18/16. https://doi.org/10.1109/ASONAM.2016.7752391

Analysis of link formation, persistence and dissolution in NetSense data. / Bahulkar, Ashwin; Szymanski, Boleslaw K.; Lizardo, Omar; Dong, Yuxiao; Yang, Yang; Chawla, Nitesh V.

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. ed. / Ravi Kumar; James Caverlee; Hanghang Tong. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1197-1204 7752391 (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

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

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AU - Lizardo, Omar

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AU - Chawla, Nitesh V.

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Bahulkar A, Szymanski BK, Lizardo O, Dong Y, Yang Y, Chawla NV. Analysis of link formation, persistence and dissolution in NetSense data. In Kumar R, Caverlee J, Tong H, editors, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1197-1204. 7752391. (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016). https://doi.org/10.1109/ASONAM.2016.7752391

Access to Document

10.1109/ASONAM.2016.7752391