PTE: Enumerate Trillion Triangles On Distributed Systems

Ha-Myung Park, Sung-Hyon Myaeng, and U Kang

Overview

How can we enumerate triangles from an enormous graph with billions of vertices and edges? Triangle enumeration is an important task for graph data analysis with many applications including identifying suspicious users in social networks, detecting web spams, finding communities, etc. However, recent networks are so large that most of the previous algorithms fail to process them. Recently, several MapReduce algorithms have been proposed to address such large networks; however, they suffer from the massive shuffled data resulting in a very long processing time.

In this paper, we propose PTE (Pre-partitioned Triangle Enumeration), a new distributed algorithm for enumerating triangles in enormous graphs by resolving the structural inefficiency of the previous MapReduce algorithms. PTE enumerates trillions of triangles in a billion scale graph by decreasing three factors: the amount of shuffled data, total work, and network read. Experimental results show that PTE provides up to 47 times faster performance than recent distributed algorithms on real world graphs, and succeeds in enumerating more than 3 trillion triangles on the ClueWeb12 graph with 6.3 billion vertices and 72 billion edges, which any previous triangle computation algorithm fail to process.

The running time of proposed methods (PTESC, PTECD, PTEBASE) and competitors (CTTP, MGT, GraphLab) on real world datasets (log scale). GraphX is not shown since it failed to process any of the datasets. Missing methods for some datasets mean they failed to run on the datasets. PTESC shows the best performances outperforming CTTP and MGT by up to 47 times and 17 times, respectively. Only the proposed algorithms succeed in processing the ClueWeb12 graph containing 6.3 billion vertices and 72 billion edges.


Paper

Our proposed method is described in the following paper.
@inproceedings{conf/kdd/ParkMK16, author = {Ha{-}Myung Park and Sung{-}Hyon Myaeng and U. Kang}, title = {{PTE:} Enumerating Trillion Triangles On Distributed Systems}, booktitle = {KDD}, pages = {1115--1124}, year = {2016} }

Code

PTE for Hadoop: pte-1.0.tar.gz [download]
PTE for Spark: pte-spark-1.0.tar.gz [download]

Datasets

Name #Nodes #Edges #Triangles Description Source
Twitter 42M 1.2B 34824916864 Who-follows-whom in Twitter Kwak10www - Twitter
SubDomain 0.1B 1.9B 417761664336 Links among subdomains on the Web WDC - Subdomain/Host Graph
YahooWeb 1.4B 6.6B 85782928684 Page level hyperlink network on the Web Yahoo-webscope
ClueWeb09 4.8B 7.9B 31013037486 Page level hyperlink network on the Web ClueWeb09 Wiki
ClueWeb12 6.3B 72B 3065789223401 Page level hyperlink network on the Web ClueWeb12 Web Graph

People