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What and Who
Title:Efficiently Estimationg Primitive Graph Properties
Speaker:Arpit Merchant
coming from:International Institute of Information Technology Hyderabad - India
Speakers Bio:Master student
Event Type:PhD Application Talk
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Monday, 19 June 2017
Time:10:00
Duration:90 Minutes
Location:Saarbr├╝cken
Building:E1 4
Room:0.24
Abstract
The ubiquity and popularity of online social networks in recent years has given rise to an increasing need to analyze their properties and learn more about their underlying structures. While it would be computationally expensive to traverse entire networks, their public interfaces allow random sampling of users. In this talk, I present a versatile, yet simple algorithm (that relies on such public APIs only) and a novel estimator for approximating the degree distribution, along with theoretical arguments explaining its correctness. I also describe experiments of our algorithm performed over a wide range of real-world data which show that it, to the best of our knowledge, significantly outperforms current methods in terms of accuracy, using storage less than 0.1% of the original network size. And lastly, I show simple variants of our algorithm that efficiently estimate related properties such as degree-wise clustering coefficients and average degree.
Contact
Name(s):imprs office team
Phone:+49 681 - 93 25 1800
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created:
Caroline Brill/MPI-INF, 06/14/2017 01:30 PM
Last modified:
halma/MPII/DE, 03/21/2019 12:00 AM
  • Caroline Brill, 06/14/2017 01:37 PM -- Created document.