Analysis of a reciprocal network using google+: Structural properties and evolution

Braulio Dumba; Golshan Golnari; Zhi Li Zhang

doi:10.1007/978-3-319-42345-6_2

Analysis of a reciprocal network using google+: Structural properties and evolution

Braulio Dumba, Golshan Golnari, Zhi Li Zhang

Computer Science and Engineering

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

3 Scopus citations

Abstract

Many online social networks such as Twitter, Google+, Flickr and Youtube are directed in nature, and have been shown to exhibit a nontrivial amount of reciprocity. Reciprocity is defined as the ratio of the number of reciprocal edges to the total number of edges in the network, and has been well studied in the literature. However, little attention is given to understand the connectivity or network form by the reciprocal edges themselves (reciprocal network), its structural properties, and how it evolves over time. In this paper, we bridge this gap by presenting a comprehensive measurement-based characterization of the connectivity among reciprocal edges in Google+ and their evolution over time, with the goal to gain insight into the structural properties of the reciprocal network. Our analysis shows that the reciprocal network of Google+ reveals some important user behavior patterns, which reflect how the social network was being adopted over time.

Original language	English (US)
Title of host publication	Computational Social Networks - 5th International Conference, CSoNet 2016, Proceedings
Editors	Hien T. Nguyen, Vaclav Snasel
Publisher	Springer Verlag
Pages	14-16
Number of pages	3
ISBN (Print)	9783319423449
DOIs	https://doi.org/10.1007/978-3-319-42345-6_2
State	Published - 2016
Event	5th International Conference on Computational Social Networks, CSoNet 2016 - Ho Chi Minh City, Viet Nam Duration: Aug 2 2016 → Aug 4 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9795
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Conference on Computational Social Networks, CSoNet 2016
Country/Territory	Viet Nam
City	Ho Chi Minh City
Period	8/2/16 → 8/4/16

Bibliographical note

Funding Information:
This research was supported in part by a Raytheon/NSF subcontract 9500012169/CNS-1346688, DTRA grants HDTRA1- 09-1-0050 and HDTRA1-14-1-0040, DoD ARO MURI Award W911NF-12-1-0385, and NSF grants CNS-1117536, CRI-1305237 and CNS-1411636. We thank the authors of [] for the datasets and the workshop reviewers for helpful comments.

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Evolution
Google+
Reciprocal network
Reciprocity

Publisher link

10.1007/978-3-319-42345-6_2

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Dumba, B., Golnari, G., & Zhang, Z. L. (2016). Analysis of a reciprocal network using google+: Structural properties and evolution. In H. T. Nguyen, & V. Snasel (Eds.), Computational Social Networks - 5th International Conference, CSoNet 2016, Proceedings (pp. 14-16). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9795). Springer Verlag. https://doi.org/10.1007/978-3-319-42345-6_2

Analysis of a reciprocal network using google+: Structural properties and evolution. / Dumba, Braulio; Golnari, Golshan; Zhang, Zhi Li.
Computational Social Networks - 5th International Conference, CSoNet 2016, Proceedings. ed. / Hien T. Nguyen; Vaclav Snasel. Springer Verlag, 2016. p. 14-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9795).

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

Dumba, B, Golnari, G & Zhang, ZL 2016, Analysis of a reciprocal network using google+: Structural properties and evolution. in HT Nguyen & V Snasel (eds), Computational Social Networks - 5th International Conference, CSoNet 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9795, Springer Verlag, pp. 14-16, 5th International Conference on Computational Social Networks, CSoNet 2016, Ho Chi Minh City, Viet Nam, 8/2/16. https://doi.org/10.1007/978-3-319-42345-6_2

Dumba B, Golnari G, Zhang ZL. Analysis of a reciprocal network using google+: Structural properties and evolution. In Nguyen HT, Snasel V, editors, Computational Social Networks - 5th International Conference, CSoNet 2016, Proceedings. Springer Verlag. 2016. p. 14-16. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-42345-6_2

Dumba, Braulio ; Golnari, Golshan ; Zhang, Zhi Li. / Analysis of a reciprocal network using google+ : Structural properties and evolution. Computational Social Networks - 5th International Conference, CSoNet 2016, Proceedings. editor / Hien T. Nguyen ; Vaclav Snasel. Springer Verlag, 2016. pp. 14-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Analysis of a reciprocal network using google+: Structural properties and evolution

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