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SNAP: A General Purpose Network Analysis and Graph Mining Library [article]

Jure Leskovec, Rok Sosic
2016 arXiv   pre-print
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

Jure Leskovec, Rok Sosič
2016 ACM Transactions on Intelligent Systems and Technology  
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

Eric S. McLamore, Shoumen Palit Austin Datta, Victoria Morgan, Nicholas Cavallaro, Greg Kiker, Daniel M. Jenkins, Yue Rong, Carmen Gomes, Jonathan Claussen, Diana Vanegas, Evangelyn C. Alocilja
2019 Sensors  
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

Thomas O. Main, Jeffrey W. Stempel, David McClure
2020 Social Science Research Network  
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

Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip Guo, Jiebo Luo
2015 Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)  
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

Sherif Abdelhamid, Maksudul Alam, Richard Alo, Shaikh Arifuzzaman, Pete Beckman, Tirtha Bhattacharjee, Hasanuzzaman Bhuiyan, Keith Bisset, Stephen Eubank, Albert C. Esterline, Edward A. Fox, Geoffrey C. Fox (+14 others)
2014 2014 IEEE 10th International Conference on e-Science  
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

Sherif Elmeligy Abdelhamid, Richard Alo, S. M. Arifuzzaman, Pete Beckman, Md Hasanuzzaman Bhuiyan, Keith Bisset, Edward A. Fox, Geoffrey C. Fox, Kevin Hall, S. M. Shamimul Hasan, Anurodh Joshi, Maleq Khan (+15 others)
2012 2012 IEEE 8th International Conference on E-Science  
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

Lamia Karim, Azedine Boulmakoul, Karine Zeitouni
2021 Procedia Computer Science  
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

Vaibhav V Prakash
2012 International Journal of Distributed and Parallel systems  
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

Miyuru Dayarathna, Charuwat Houngkaew, Hidefumi Ogata, Toyotaro Suzumura
2012 2012 19th International Conference on High Performance Computing  
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

Juan Gómez-Romero, Miguel Molina-Solana, Axel Oehmichen, Yike Guo
2018 Future generations computer systems  
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

Di Yang, Huamin Yang, Peng Wang, Songjiang Li
2017 Journal of Information Hiding and Multimedia Signal Processing  
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]

Dimitrios Michail and Joris Kinable and Barak Naveh and John V Sichi
2020 arXiv   pre-print
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

Alfredo Cuzzocrea, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang, Edoardo Fadda
2020 Procedia Computer Science  
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]

Mohammad Arab
2021 arXiv   pre-print
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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