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SNAP: A General Purpose Network Analysis and Graph Mining Library
[article]
2016
arXiv
pre-print
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Here, we describe Stanford Network Analysis Platform (SNAP), a general-purpose, high-performance system that provides easy to use, high-level operations for analysis and manipulation of large networks. ...
SNAP is provided as an open source library in C++ as well as a module in Python. ...
ACKNOWLEDGMENTS Many developers contributed to SNAP. Top 5 contributors to the repository, excluding the authors, are Nicholas Shelly, Sheila Ramaswamy, Jaewon Yang, Jason Jong, and Nikhil Khadke. ...
arXiv:1606.07550v1
fatcat:txyddzggvbambjotkyqum6xvye
SNAP
2016
ACM Transactions on Intelligent Systems and Technology
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Here, we describe Stanford Network Analysis Platform (SNAP), a general-purpose, highperformance system that provides easy to use, high-level operations for analysis and manipulation of large networks. ...
SNAP is provided as an open source library in C++ as well as a module in Python. ...
Acknowledgments Many developers contributed to SNAP. Top 5 contributors to the repository, excluding the authors, are Nicholas Shelly, Sheila Ramaswamy, Jaewon Yang, Jason Jong, and Nikhil Khadke. ...
doi:10.1145/2898361
pmid:28344853
pmcid:PMC5361061
fatcat:epuoyunv6jajhkz7zskzj3a2dq
SNAPS: Sensor Analytics Point Solutions for Detection and Decision Support Systems
2019
Sensors
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a service for general societal needs. ...
We introduce SNAPS, part of a platform approach to converge sensor data and analytics. ...
The authors also acknowledge NSF project 1805512 (Biosensing) and NSF project 1511953 (Nanobiosensing) for financial support.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s19224935
pmid:31766116
pmcid:PMC6891700
fatcat:tez3ctihrnd4thjgvjh7uawe5q
The Elastics of Snap Removal: An Empirical Case Study of Textualism
2020
Social Science Research Network
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In Section A, we discuss general findings about snap removal. These findings describe the phenomenon of snap removal generally, such as when and where it is happening, and what is published. ...
Snap Removal A line graph can effectively convey a crossover interaction, and Figure 34 , below, does not disappoint.
Figure 34. ...
CONCLUSION Permitting or rejecting snap removal under the current statute requires judges to make a choice between a strong brand of textualism and a strong brand of purposivism. ...
doi:10.2139/ssrn.3674042
fatcat:cz56iyjgendhtmdmgwsao2s25y
Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence
2015
Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)
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We conduct experiments on user interface design and retrieval performance, which validate the effectiveness and ease of use of the proposed system. ...
In this work, we try to improve visual search based mobile shopping experience by using machine and crowd intelligence. ...
Next, we run a superpixel segmentation algorithm on the image. We then use the superpixels as the graph nodes to build the graph for lazy snapping. ...
doi:10.1109/icosc.2015.7050803
dblp:conf/semco/YouYWGL15
fatcat:6jtj6gajcnhbbmomzl3fcmoyja
CINET 2.0: A CyberInfrastructure for Network Science
2014
2014 IEEE 10th International Conference on e-Science
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Analysis of structural properties and dynamics of networks is currently a central topic in many disciplines including Social Sciences, Biology and Business. ...
CINET, a cyberinfrastructure for such studies, introduced the concept of supporting network analysis as a service. ...
Fig. 6 : 6 Collection of networks and modules (network algorithms and generators) growing over time. SNAP [25] is a brand new addition to graph libraries. ...
doi:10.1109/escience.2014.21
dblp:conf/eScience/AbdelhamidAAABBBBEEFFHHKKMMMQRSSSVW14
fatcat:p3gcwvmzffbwhoakfap62hffuu
CINET: A cyberinfrastructure for network science
2012
2012 IEEE 8th International Conference on E-Science
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Analysis of structural properties and dynamics of networks is currently a central topic in many disciplines including Social Sciences, Biology and Business. ...
CINET, a cyberinfrastructure for such studies, introduced the concept of supporting network analysis as a service. ...
Fig. 6 : 6 Collection of networks and modules (network algorithms and generators) growing over time. SNAP [25] is a brand new addition to graph libraries. ...
doi:10.1109/escience.2012.6404422
dblp:conf/eScience/AbdelhamidAABBBFFHHJKKLLMMMQRSSSSTVZ12
fatcat:rozbgmukc5ey7hfad3mxepvrfi
From Raw Pedestrian Trajectories to Semantic Graph Structured Model—Towards an end-to-end spatiotemporal analytics framework
2021
Procedia Computer Science
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The abstract model provides a high semantic expressiveness through spatiotemporal queries and a high-level graph representation of the data. ...
The abstract model provides a high semantic expressiveness through spatiotemporal queries and a high-level graph representation of the data. ...
Stanford Network Analysis Platform (SNAP) is a general-purpose network analysis and graph mining library. ...
doi:10.1016/j.procs.2021.03.018
fatcat:f5fina36vzcrpljqgoyfbta4be
Implementation of Network Community Profile using Local Spectral algorithm and its application in Community Networking
2012
International Journal of Distributed and Parallel systems
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Five communities have been compared using the same heuristics of the established functions in the entitled paper and an inference is drawn based on the graph generated by the same. ...
Michael W Mahoney"wherein we look at the characteristics and specific properties of various social networks used in the public and private domain. ...
Stanford Network Analysis Package(SNAP)[12] is a general purpose network analysis and graph mining library that is easily scales to massive networks, is efficient and easily extendible. ...
doi:10.5121/ijdps.2012.3607
fatcat:prczzopjvractbmvt4hyfs5vki
Scalable performance of ScaleGraph for large scale graph analysis
2012
2012 19th International Conference on High Performance Computing
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Scalable analysis of massive graphs has become a challenging issue in high performance computing environments. ScaleGraph is an X10 library aimed for large scale graph analysis scenarios. ...
We make scalability evaluation by analyzing a synthetic Kronecker graph with 40.3 million edges (for all the three algorithms), and a real social network with 69 million edges (for degree distribution ...
ACKNOWLEDGMENT This research was supported by the Japan Science and Technology Agency's CREST project titled "Development of System Software Technologies for post-Peta Scale High Performance Computing" ...
doi:10.1109/hipc.2012.6507498
dblp:conf/hipc/DayarathnaHOS12
fatcat:bgptnzn26bae7m3mzdrisdnggm
Visualizing large knowledge graphs: A performance analysis
2018
Future generations computer systems
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Knowledge graphs are an increasingly important source of data and context information in Data Science. A first step in data analysis is data exploration, in which visualization plays a key role. ...
To do so, we have implemented a graph processing pipeline in the Apache Spark framework and carried out several experiments with real-world and synthetic graphs. ...
Jung (the Java Universal Network/Graph Framework) is a Java library that provides optimized implementations of algorithms from graph theory, data mining and social network analysis [54] ; e.g. ...
doi:10.1016/j.future.2018.06.015
fatcat:722ah2osgrcqbhitja45wqfuei
Design and Implement of Large-scale Social Network Analysis Platform Based on Hadoop
2017
Journal of Information Hiding and Multimedia Signal Processing
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Aiming at the convenience of analyzing big data of social network, this paper designs a Hadoop based large-scale social network analysis platform (HNAP) for processing and analyzing large-scale data sets ...
Our design is fully applicable to large-scale social network analysis, and takes full account of expandability in the future. ...
The authors would like to thank all the editors and all the referees for their useful comments and contributions for the improvement of this paper.This research work was supported by the Key Program for ...
dblp:journals/jihmsp/YangYWL17
fatcat:g4twndclvrg2bh62x37eyfwdci
JGraphT – A Java library for graph data structures and algorithms
[article]
2020
arXiv
pre-print
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One such package is JGraphT, a programming library which contains very efficient and generic graph data-structures along with a large collection of state-of-the-art algorithms. ...
and biological networks. ...
the library. ...
arXiv:1904.08355v2
fatcat:vzv6n26i4fcohga7r5ww7exgay
A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction
2020
Procedia Computer Science
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In this paper, a teleport probability τ from the page rank domain is integrated into the graph convolution network model for further enhance the performance of such an approach. ...
In this paper, a teleport probability τ from the page rank domain is integrated into the graph convolution network model for further enhance the performance of such an approach. ...
This project is partially supported by NSERC (Canada) and University of Manitoba. ...
doi:10.1016/j.procs.2020.10.025
fatcat:hpukbkxor5eadic6rwlpvsmifq
Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method
[article]
2021
arXiv
pre-print
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For this purpose, a graph-based social network analysis framework was used for community detection in the Stanford Network Analysis Platform (SNAP). ...
The purpose of this study is to predict the quality of customers of large e-commerce social networks by big data algorithms and unsupervised learning. ...
SNAP has a very large library and database, including millions of nodes and edges, to extract graphs from popular social networks such as Facebook and Twitter. The SNAP library is based on C ++. ...
arXiv:2109.02080v1
fatcat:hpdfnmuudvevbovpz3asnzv5fy
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