Filters








58 Hits in 1.7 sec

NetworKit: A Tool Suite for Large-scale Complex Network Analysis [article]

Christian L. Staudt, Aleksejs Sazonovs, Henning Meyerhenke
<span title="2015-11-13">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks.  ...  NetworKit is implemented as a hybrid combining the kernels written in C++ with a Python front end, enabling integration into the Python ecosystem of tested tools for data analysis and scientific computing  ...  This work was partially supported by the project Parallel Analysis of Dynamic Networks -Algorithm Engineering of Efficient Combinatorial and Numerical Methods, which is funded by the Ministry of Science  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1403.3005v3">arXiv:1403.3005v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5kg5gfcm4jgj3mpghtl3cssoda">fatcat:5kg5gfcm4jgj3mpghtl3cssoda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826094312/https://arxiv.org/pdf/1403.3005v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b1/d5/b1d535205156ed9a0479d12f32a602a5bbd04fa9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1403.3005v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

NetworKit: A tool suite for large-scale complex network analysis

CHRISTIAN L. STAUDT, ALEKSEJS SAZONOVS, HENNING MEYERHENKE
<span title="">2016</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlvhfnkg55dizia4sebehhpaqa" style="color: black;">Network Science</a> </i> &nbsp;
We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks.  ...  NetworKit is implemented as a hybrid combining the kernels written in C++ with a Python frontend, enabling integration into the Python ecosystem of tested tools for data analysis and scientific computing  ...  Acknowledgments This work was partially supported by the project Parallel Analysis of Dynamic Networks-Algorithm Engineering of Efficient Combinatorial and Numerical Methods, which is funded by the Ministry  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2016.20">doi:10.1017/nws.2016.20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/46nozmdun5b3pd4p3ruf74lveq">fatcat:46nozmdun5b3pd4p3ruf74lveq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501165738/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/03DB673D73EDC84C0A143864FFA17831/S2050124216000205a.pdf/div-class-title-networkit-a-tool-suite-for-large-scale-complex-network-analysis-div.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0d/0a/0d0a23a27fe160f9829a4dc895ec2dbb92b1d49d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2016.20"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

GraphBreak: Tool for Network Community based Regulatory Medicine, Gene co-expression, Linkage Disequilibrium analysis, functional annotation and more [article]

Abhishek Narain Singh
<span title="2021-02-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
For this, we present GraphBreak, a suite of tools for community detection application, such as for gene co-expression, protein interaction, regulation network, etc.Although developed for use case of eQTLs  ...  Graph network science is becoming increasingly popular, notably in big-data perspective where understanding individual entities for individual functional roles is complex and time consuming.  ...  Acknowledgement The author acknowledges the makers of CONDOR as inspiration to develop and deploy graph network-based algorithms for biological purposes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.06145v1">arXiv:2103.06145v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sd52dd2vrzhptodb6hf4zijubq">fatcat:sd52dd2vrzhptodb6hf4zijubq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210315151221/https://arxiv.org/ftp/arxiv/papers/2103/2103.06145.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/d6/90d6d1fa47700b23711d32b696fd4f4677b80c48.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.06145v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

NWS volume 4 issue 4 Cover and Front matter

<span title="">2016</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlvhfnkg55dizia4sebehhpaqa" style="color: black;">Network Science</a> </i> &nbsp;
Network Science is a new journal for a new discipline -one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fi elds across  ...  Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals  ...  NETWORK SCIENCE NetworKit: A tool suite for large-scale complex network analysis christian l. staudt, aleksejs sazonovs and henning meyerhenke 508 Volume 4 Number 4 CONTENTS Articles Properties  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2016.29">doi:10.1017/nws.2016.29</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pzxmiuzp5jfwzd6es7zwhtb3ia">fatcat:pzxmiuzp5jfwzd6es7zwhtb3ia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504100938/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A7638EAB03FF57D6573EF9368DC35859/S2050124216000291a.pdf/div-class-title-nws-volume-4-issue-4-cover-and-front-matter-div.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a9/4f/a94f050cdf27b3baa88e912dcce23ae9aa449adc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2016.29"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

NWS volume 4 issue 4 Cover and Back matter

<span title="">2016</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlvhfnkg55dizia4sebehhpaqa" style="color: black;">Network Science</a> </i> &nbsp;
and services choujun zhan and chi k. tse 491 NetworKit: A tool suite for large-scale complex network analysis christian l. staudt, aleksejs sazonovs and henning meyerhenke 508 This is complemented by a  ...  centralization measure for two-mode data of prescribed sizes matjaž krnc, jean-sébastien sereni, riste škrekovski and zelealem b. yilma 474 A universal model for growth of user population of products  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2016.30">doi:10.1017/nws.2016.30</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ilnltlk3zrgl3ol5i4xjoke6wu">fatcat:ilnltlk3zrgl3ol5i4xjoke6wu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180729025139/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/E6065E8B164E43953B43A31541E043E2/S2050124216000308a.pdf/div-class-title-nws-volume-4-issue-4-cover-and-back-matter-div.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/53/2353fa07db4a8c426c96331f1292a3ba116b9f66.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2016.30"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

Structure-Preserving Sparsification of Social Networks [article]

Gerd Lindner, Christian L. Staudt, Michael Hamann, Henning Meyerhenke, Dorothea Wagner
<span title="2015-05-04">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Experiments with our implementations of the sparsification methods (using the open-source network analysis tool suite NetworKit) show that many network properties can be preserved down to about 20% of  ...  Our Local Degree method is fast enough for large-scale networks and performs well across a wider range of properties than previously proposed methods.  ...  We implemented the algorithms in Net-worKit [7] , an interactive tool suite for scalable network analysis. It provides a large set of graph algorithm implementations we used for our experiments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1505.00564v1">arXiv:1505.00564v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gbjjb6axjreereppmbtkfylluy">fatcat:gbjjb6axjreereppmbtkfylluy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200911114156/https://arxiv.org/pdf/1505.00564v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/6f/856fcd4e4a102016fec2d61fabde8136a4e8e45b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1505.00564v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Generating realistic scaled complex networks [article]

Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro,, Henning Meyerhenke
<span title="2017-03-23">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We argue that ReCoN is a scalable and effective tool for modeling a given network while preserving important properties at both micro- and macroscopic scales, and for scaling the exemplar data by orders  ...  During the last two decades, a variety of models has been proposed with an ultimate goal of achieving comprehensive realism for the generated networks.  ...  Computational Experiments Our implementations of ReCoN and the various fitting methods are based on NetworKit [66] , a tool suite for scalable network analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.02121v2">arXiv:1609.02121v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zeecu4dr45bh5go24g5kjcojre">fatcat:zeecu4dr45bh5go24g5kjcojre</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928130510/https://arxiv.org/pdf/1609.02121v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f9/4a/f94aa6d421ca32400032603c286df8d505c771a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.02121v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Generating realistic scaled complex networks

Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro, Henning Meyerhenke
<span title="2017-10-13">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j7jxtbkpgnastjy3xdfamy6f7u" style="color: black;">Applied Network Science</a> </i> &nbsp;
We argue that ReCoN is a scalable and effective tool for modeling a given network while preserving important properties at both micro- and macroscopic scales, and for scaling the exemplar data by orders  ...  During the last two decades, a variety of models has been proposed with an ultimate goal of achieving comprehensive realism for the generated networks.  ...  A preliminary version of the paper was presented at the 5th International Workshop on Complex Networks and their Applications .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41109-017-0054-z">doi:10.1007/s41109-017-0054-z</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30533515">pmid:30533515</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6225971/">pmcid:PMC6225971</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2rdb2j6q4bgifepkgeoxz5dx2e">fatcat:2rdb2j6q4bgifepkgeoxz5dx2e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722015832/https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0054-z" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/7f/a77ffa5074050845a40ad148ce4a10ee563e0e0e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41109-017-0054-z"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225971" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A new tool for network analysis on team sports the ultimate performance analysis tool

Frutuoso G. M. Silva, Abel J. P. Gomes, Quoc Trong Nguyen, Fernando M. L. Martins, Filipe M. Clemente
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rrkj6umntfagnhgqmxi5qjwqsa" style="color: black;">2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)</a> </i> &nbsp;
The user may use a single application to work in the visualization and analysis of the match only considering the network that emerges from the game.  ...  Network analysis has been used to classify the interactions between teammates in team sports.  ...  NetworKit is other tool that is more oriented for large-scale network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ice.2017.8279918">doi:10.1109/ice.2017.8279918</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ice-itmc/SilvaGNMC17.html">dblp:conf/ice-itmc/SilvaGNMC17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jvcwfnhz2bg6dozu2czw3wqq2m">fatcat:jvcwfnhz2bg6dozu2czw3wqq2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307013803/https://ubibliorum.ubi.pt/bitstream/10400.6/7484/1/Silva2017.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1b/1b/1b1b889aa8598d1e5b90fc7bbc09901cd700bb92.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ice.2017.8279918"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Scalable graph analysis tools for the connectomics community [article]

Jordan K. Matelsky, Erik C. Johnson, Brock Wester, William Gray-Roncal
<span title="2022-06-02">2022</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Existing community tools can perform such queries and analysis on smaller scale datasets, which can fit locally in memory, but the path to scaling remains unclear.  ...  This software suite includes visualization tools, a web portal, a connectivity and annotation query engine, and the ability to interface with a variety of data sources and community tools from the neuroscience  ...  Contributions In this work, we present a suite of tools for cloud-scale connectome analysis and graph queries.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2022.06.01.494307">doi:10.1101/2022.06.01.494307</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/366mxffddra6ji46v6qrudp67m">fatcat:366mxffddra6ji46v6qrudp67m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220609080022/https://www.biorxiv.org/content/biorxiv/early/2022/06/02/2022.06.01.494307.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/dc/b8dc3d816dbfef9fb68145f4b8c583c7a49f9cae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2022.06.01.494307"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/idqeix2ukbd5fbgjjdkjmaj3ka" style="color: black;">Future generations computer systems</a> </i> &nbsp;
Key analysis practices include social network analysis, sentiment analysis, trend analysis and collaborative recommendation.  ...  Extracting intelligence from such data has becoming a quickly widening multidisciplinary area that demands the synergy of scientific tools and expertise.  ...  n tool; like Photoshop but for graph data" "Simple Network Analysis for social media" "A high performanc e large scale Network Analysis" "An integrated set of tools for the visualization  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2016.10.019">doi:10.1016/j.future.2016.10.019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cqlp423pv5heplujb63qo7c6yq">fatcat:cqlp423pv5heplujb63qo7c6yq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709203416/https://ruomo.lib.uom.gr/bitstream/7000/475/1/KPsannis%20%20Social%20Networking%20Data%20Analysis%20Tools%20%26%20Challenges%20pdf.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/2c/242ca1b0b3ecb129ed7c496872a9eb30bbfce460.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2016.10.019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

DFG Priority Programme SPP 1736: Algorithms for Big Data

Mahyar Behdju, Ulrich Meyer
<span title="2017-12-12">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dlce7tvip5e5rlsv2ty3chnfpu" style="color: black;">Künstliche Intelligenz</a> </i> &nbsp;
In this article we give a short overview on the research topics represented within this priority programme.  ...  In order to tackle those challenges, the German Research Foundation established in 2013 the priority programme SPP 1736: Algorithms for Big Data.  ...  However, today's cryptographic schemes do not scale well, and thus are not suited for the increasingly large sets of data they are used on.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13218-017-0518-4">doi:10.1007/s13218-017-0518-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6vk5y3servb4bnos4lglbhziki">fatcat:6vk5y3servb4bnos4lglbhziki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030113752/https://link.springer.com/content/pdf/10.1007%2Fs13218-017-0518-4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8d/5f/8d5f82eab5c69fc14a308cf7e78777334f2a94de.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13218-017-0518-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Generating Scaled Replicas of Real-World Complex Networks [chapter]

Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke
<span title="2016-11-30">2016</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oqt3yqhkxvcubnonwg57er4tdq" style="color: black;">Studies in Computational Intelligence</a> </i> &nbsp;
Our design yields a scalable and effective tool for replicating a given network while preserving important properties at both microand macroscopic scales and (optionally) scaling the replica by orders  ...  We recommend ReCoN as a general practical method for creating realistic test data for the engineering of computational methods on networks, verification, and simulation studies.  ...  Acknowledgements This work is partially supported by the DFG under grants ME 3619/3-1 and WA 654/22-1 within the Priority Programme 1736 Algorithms for Big Data, and by the NSF awards #1522751 and #1647361  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-50901-3_2">doi:10.1007/978-3-319-50901-3_2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v7nqxl4o55c6bifoxr2aa4hpzm">fatcat:v7nqxl4o55c6bifoxr2aa4hpzm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190220025039/http://pdfs.semanticscholar.org/1e93/5a08e9fd464b5dd577e9dbf9facc0deb2ee7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/93/1e935a08e9fd464b5dd577e9dbf9facc0deb2ee7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-50901-3_2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Structure-Preserving Sparsification Methods for Social Networks [article]

Michael Hamann, Gerd Lindner, Henning Meyerhenke, Christian L. Staudt, Dorothea Wagner
<span title="2016-01-03">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Experiments with our implementations of the sparsification methods (included in the open-source network analysis tool suite NetworKit) show that many network properties can be preserved down to about 20%  ...  of the original set of edges for sparse graphs with a reasonable density.  ...  This work is partially supported by the German Research Foundation (DFG) under grants ME 3619/3-1 and WA 654/22-1 within the Priority Programme 1736 Algorithms for Big Data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1601.00286v1">arXiv:1601.00286v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/75wfoc4i6zbn7kybdz3fnnfhky">fatcat:75wfoc4i6zbn7kybdz3fnnfhky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191025004746/https://arxiv.org/pdf/1601.00286v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/e1/fae1d4f74a26d37d74b0beb4cfec0cd1d347f88f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1601.00286v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Engineering Parallel Algorithms for Community Detection in Massive Networks

Christian L. Staudt, Henning Meyerhenke
<span title="2016-01-01">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ll6bfs5o6bahfinh3u5z2cnyoy" style="color: black;">IEEE Transactions on Parallel and Distributed Systems</a> </i> &nbsp;
Within this framework we design and implement efficient parallel community detection heuristics: A parallel label propagation scheme; the first large-scale parallelization of the well-known Louvain method  ...  Despite extensive research on heuristic solvers for this task, only few parallel codes exist, although parallelism will be necessary to scale to the data volume of real-world applications.  ...  His research focuses on developing efficient algorithms and software for the analysis of large complex networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpds.2015.2390633">doi:10.1109/tpds.2015.2390633</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b24piu4j2fc7bk4hknq4wo4lny">fatcat:b24piu4j2fc7bk4hknq4wo4lny</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811011203/http://parco.iti.kit.edu/staudt/attachments/publications/TPDS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a0/cf/a0cfac59affac38968f2fa653dadf40205a3af25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpds.2015.2390633"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 58 results