2015 OntheFormationofCirclesinCoAuth

• (Chakraborty et al., 2015) ⇒ Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, and Animesh Mukherjee. (2015). “On the Formation of Circles in Co-authorship Networks.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783292

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222015%22+On+the+Formation+of+Circles+in+Co-authorship+Networks
• http://dl.acm.org/citation.cfm?id=2783258.2783292&preflayout=flat#citedby

Quotes

Author Keywords

• Circles; data mining; ego networks; graphs and networks; prediction

Abstract

The availability of an overwhelmingly large amount of bibliographic information including citation and co-authorship data makes it imperative to have a systematic approach that will enable an author to organize her own personal academic network profitably. An effective method could be to have one's co-authorship network arranged into a set of circle, which has been a recent practice for organizing relationships (e.g., friendship) in many online social networks. In this paper, we propose an unsupervised approach to automatically detect circles in an ego network such that each circle represents a densely knit community of researchers. Our model is an unsupervised method which combines a variety of node features and node similarity measures. The model is built from a rich co-authorship network data of more than 8 hundred thousand authors. In the first level of evaluation, our model achieves 13.33% improvement in terms of overlapping modularity compared to the best among four state-of-the-art community detection methods. Further, we conduct a task-based evaluation -- two basic frameworks for collaboration prediction are considered with the circle information (obtained from our model) included in the feature set. Experimental results show that including the circle information detected by our model improves the prediction performance by 9.87% and 15.25% on average in terms of AUC (Area under the ROC) and Prec@20 (Precision at Top 20) respectively compared to the case, where the circle information is not present.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 OntheFormationofCirclesinCoAuth	Tanmoy Chakraborty Animesh Mukherjee Sikhar Patranabis Pawan Goyal			On the Formation of Circles in Co-authorship Networks				10.1145/2783258.2783292		2015