Priya Govindan
Priya Govindan
Verified email at cs.rutgers.edu - Homepage
Title
Cited by
Cited by
Year
The impact of network structure on breaking ties in online social networks: unfollowing on twitter
F Kivran-Swaine, P Govindan, M Naaman
Proceedings of the SIGCHI conference on human factors in computing systems …, 2011
932011
KINALYZER, a computer program for reconstructing sibling groups
MV Ashley, IC Caballero, W Chaovalitwongse, B Dasgupta, P Govindan, ...
Molecular Ecology Resources 9 (4), 1127-1131, 2009
592009
The k-peak decomposition: Mapping the global structure of graphs
P Govindan, C Wang, C Xu, H Duan, S Soundarajan
Proceedings of the 26th International Conference on World Wide Web, 1441-1450, 2017
122017
Nimblecore: A space-efficient external memory algorithm for estimating core numbers
P Govindan, S Soundarajan, T Eliassi-Rad, C Faloutsos
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
92016
Local Structural Features Threaten Privacy across Social Networks
P Govindan, J Xu, S Hill, T Eliassi-Rad, C Volinsky
The 5th Workshop on Information in Networks, 2013
72013
Finding the most appropriate auxiliary data for social graph deanonymization
P Govindan, S Soundarajan, T Eliassi-Rad
1st KDD Workshop on Data Ethics, 2014
42014
About Kinalyzer
MV Ashley, IC Caballero, W Chaovalitwongse, B DasGupta, P Govindan, ...
Bioinformatics 23, 13, 0
2
Streaming algorithms for measuring H-impact
P Govindan, M Monemizadeh, S Muthukrishnan
Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2017
12017
A scalable solution for group feature selection
P Govindan, R Chen, K Scheinberg, S Srinivasan
2015 IEEE International Conference on Big Data (Big Data), 2846-2848, 2015
12015
Threatening Privacy across Social Graphs: A Structural Features Approach
P Govindan, T Eliassi-Rad, J Xu, S Hill, C Volinsky
2014 IEEE International Conference on Data Mining Workshop, 554-561, 2014
12014
Core structure and influence in social networks
P Govindan
Rutgers University-School of Graduate Studies, 2018
2018
Inferring Network Structure Using Maximum Likelihood Approach
P Govindan
University of Illinois at Chicago, 2009
2009
K-cores in Time-evolving Co-authorship Graphs: A Case Study on DBLP
P Govindan, S Soundarajan, T Eliassi-Rad, C Faloutsos
Our Publications Journals
MV Ashley, IC Caballero, W Chaovalitwongse, B DasGupta, P Govindan, ...
Bioinformatics 23, 13, 0
Learning to Predict the Presence of Nodes in Anonymized Graphs
P Govindan, T Eliassi-Rad, SB Roy
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Articles 1–15