Estimating Reachability Set Sizes in Dynamic Graphs
Graphs are a commonly used abstraction for diverse kinds of interactions, e.g., on Twitter and Facebook. Different kinds of topological properties of such graphs are computed for gaining insights into their structure. Computing properties of large real networks is computationally very challenging. F...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-492622020-09-29T05:40:31Z Estimating Reachability Set Sizes in Dynamic Graphs Aji, Sudarshan Mandayam Computer Science Vullikanti, Anil Kumar S. Marathe, Madhav Vishnu Bisset, Keith R. Algorithm Dynamic graphs Giraph Graph framework Graphs are a commonly used abstraction for diverse kinds of interactions, e.g., on Twitter and Facebook. Different kinds of topological properties of such graphs are computed for gaining insights into their structure. Computing properties of large real networks is computationally very challenging. Further, most real world networks are dynamic, i.e., they change over time. Therefore there is a need for efficient dynamic algorithms that offer good space-time trade-offs. In this thesis we study the problem of computing the reachability set size of a vertex, which is a fundamental problem, with applications in databases and social networks. We develop the first Giraph based algorithms for different dynamic versions of these problems, which scale to graphs with millions of edges. Master of Science 2014-07-02T08:01:01Z 2014-07-02T08:01:01Z 2014-07-01 Thesis vt_gsexam:3077 http://hdl.handle.net/10919/49262 In Copyright http://rightsstatements.org/vocab/InC/1.0/ ETD application/pdf Virginia Tech |
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Algorithm Dynamic graphs Giraph Graph framework |
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Algorithm Dynamic graphs Giraph Graph framework Aji, Sudarshan Mandayam Estimating Reachability Set Sizes in Dynamic Graphs |
description |
Graphs are a commonly used abstraction for diverse kinds of interactions, e.g., on Twitter and Facebook. Different kinds of topological properties of such graphs are computed for gaining insights into their structure. Computing properties of large real networks is computationally very challenging. Further, most real world networks are dynamic, i.e., they change over time. Therefore there is a need for efficient dynamic algorithms that offer good space-time trade-offs. In this thesis we study the problem of computing the reachability set size of a vertex, which is a fundamental problem, with applications in databases and social networks. We develop the first Giraph based algorithms for different dynamic versions of these problems, which scale to graphs with millions of edges. === Master of Science |
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Computer Science |
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Computer Science Aji, Sudarshan Mandayam |
author |
Aji, Sudarshan Mandayam |
author_sort |
Aji, Sudarshan Mandayam |
title |
Estimating Reachability Set Sizes in Dynamic Graphs |
title_short |
Estimating Reachability Set Sizes in Dynamic Graphs |
title_full |
Estimating Reachability Set Sizes in Dynamic Graphs |
title_fullStr |
Estimating Reachability Set Sizes in Dynamic Graphs |
title_full_unstemmed |
Estimating Reachability Set Sizes in Dynamic Graphs |
title_sort |
estimating reachability set sizes in dynamic graphs |
publisher |
Virginia Tech |
publishDate |
2014 |
url |
http://hdl.handle.net/10919/49262 |
work_keys_str_mv |
AT ajisudarshanmandayam estimatingreachabilitysetsizesindynamicgraphs |
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1719344911018360832 |