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Europe Says<p><a href="https://www.europesays.com/2228357/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/2228357/</span><span class="invisible"></span></a> Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks <a href="https://pubeurope.com/tags/Clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Clustering</span></a> <a href="https://pubeurope.com/tags/ComputationalBiologyAndBioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalBiologyAndBioinformatics</span></a> <a href="https://pubeurope.com/tags/ComputationalComplexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalComplexity</span></a> <a href="https://pubeurope.com/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://pubeurope.com/tags/engineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>engineering</span></a> <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanitiesAndSocialSciences</span></a> <a href="https://pubeurope.com/tags/LogisticRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LogisticRegression</span></a> <a href="https://pubeurope.com/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://pubeurope.com/tags/ModelSelection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelSelection</span></a> <a href="https://pubeurope.com/tags/Modularity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Modularity</span></a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multidisciplinary</span></a> <a href="https://pubeurope.com/tags/NetworkInference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkInference</span></a> <a href="https://pubeurope.com/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a> <a href="https://pubeurope.com/tags/RandomForest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RandomForest</span></a> <a href="https://pubeurope.com/tags/ScaleFreeNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScaleFreeNetworks</span></a> <a href="https://pubeurope.com/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a></p>
Andrei A. Klishin<p>re-<a href="https://fediscience.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a><br>Hi Fediscience! I am an Assistant Professor of Mechanical Engineering at University of Hawaiʻi at Mānoa (Honolulu). I got here starting from Physics training with many scientific detours into data-driven models, complex systems, nanomaterial self-assembly, human learning of complex networks, naval ships, and design problems.<br>I grew up in Belarus and have *opinions* on that region of the world. I've been on Fediverse since late 2022 when *something* happened to our previous cybersocial infrastructure, but the previous server I was on is sunsetting. Please come say hi and recommend cool people to follow here.<br>I have a blog with longer thoughts on science-adjacent topics.<br><a href="https://www.aklishin.science/blog/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">aklishin.science/blog/</span><span class="invisible"></span></a><br><a href="https://fediscience.org/tags/ComplexSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComplexSystems</span></a> <a href="https://fediscience.org/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a> <a href="https://fediscience.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fediscience.org/tags/DynamicalSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DynamicalSystems</span></a> <a href="https://fediscience.org/tags/CollectiveBehavior" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CollectiveBehavior</span></a> <a href="https://fediscience.org/tags/StatisticalPhysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StatisticalPhysics</span></a></p>
Valdis Krebs<p>Using <a href="https://mastodon.social/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> and contact-tracing to map and understand and stop the spread of airborne contagion … “transmission network analysis”<br><a href="http://orgnet.com/Transmission_Network_Analysis_CDC_OrgnetLLC.pdf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">orgnet.com/Transmission_Networ</span><span class="invisible">k_Analysis_CDC_OrgnetLLC.pdf</span></a><br><a href="https://mastodon.social/@Daojoan/114584079585184478" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/@Daojoan/11458</span><span class="invisible">4079585184478</span></a></p>
NERDS<p>We have several open positions, both <a href="https://datasci.social/tags/phd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>phd</span></a> &amp; <a href="https://datasci.social/tags/postdoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>postdoc</span></a>: <a href="https://nerds.itu.dk/positions/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">nerds.itu.dk/positions/</span><span class="invisible"></span></a></p><p>On the topics <a href="https://datasci.social/tags/epidemiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>epidemiology</span></a> <a href="https://datasci.social/tags/epidemic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>epidemic</span></a> preparedness and <a href="https://datasci.social/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> &amp; <a href="https://datasci.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> &amp; <a href="https://datasci.social/tags/ScienceOfScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScienceOfScience</span></a> <br>Deadlines in April and May!</p>
Fedi.Garden 🌱<p>Datasci.social is a Mastodon server for nice and diverse people who are researching human-centric data science and adjacent topics such as human-centric network science, social data science, urban/geospatial data science, computational social science.</p><p>:Fediverse: <a href="https://datasci.social" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">datasci.social</span><span class="invisible"></span></a></p><p>You can find out more at <a href="https://datasci.social/about" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">datasci.social/about</span><span class="invisible"></span></a> or contact the admin <span class="h-card" translate="no"><a href="https://datasci.social/@mszll" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mszll</span></a></span> </p><p><a href="https://social.growyourown.services/tags/FeaturedServer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FeaturedServer</span></a> <a href="https://social.growyourown.services/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://social.growyourown.services/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a> <a href="https://social.growyourown.services/tags/Geospatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Geospatial</span></a> <a href="https://social.growyourown.services/tags/SocialScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SocialScience</span></a> <a href="https://social.growyourown.services/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://social.growyourown.services/tags/Mastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mastodon</span></a> <a href="https://social.growyourown.services/tags/Fediverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fediverse</span></a> <a href="https://social.growyourown.services/tags/FreeFediverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeFediverse</span></a></p>
Jan van der Laan<p><a href="https://datasci.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> Hi! I am Jan. I work as a methodologist/data scientist/scientific programmer at Statistics Netherlands, working among other things on <a href="https://datasci.social/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a>. I am the author of a bunch of <a href="https://datasci.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> packages. </p><p>In my spare time I like to programme, play <a href="https://datasci.social/tags/dnd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dnd</span></a> and build stuff: electronics, dioramas, 3d-printing, book binding...</p>
Michael Szell<p>The recently disproven bunkbed conjecture is fascinating - very topical for nowaday's hype in <a href="https://datasci.social/tags/multilayer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multilayer</span></a> <a href="https://datasci.social/tags/higherorder" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>higherorder</span></a> <a href="https://datasci.social/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> <br>Not very useful with the 10^(-4331) result, but interesting: <a href="https://arxiv.org/abs/2410.02545" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2410.02545</span><span class="invisible"></span></a><br>Here a nice explainer: <a href="https://www.youtube.com/watch?v=aDU-oTiHnCs" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=aDU-oTiHnC</span><span class="invisible">s</span></a></p>
Michael Szell<p>Please help - <a href="https://datasci.social/tags/networkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkScience</span></a> question: I need to extract the set of face cycles <a href="https://en.wikipedia.org/wiki/Cycle_basis#Face_cycles" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Cycle_ba</span><span class="invisible">sis#Face_cycles</span></a> from a <a href="https://datasci.social/tags/planar" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>planar</span></a> graph, preferrably via Python (<a href="https://datasci.social/tags/networkx" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkx</span></a>, <a href="https://datasci.social/tags/igraph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>igraph</span></a>, etc :networkx: :igraph:). I used networkx' minimum_cycle_basis() method so far, but I realized the minimum cycle basis is generally not the same as the face cycles. Does anybody know if there is a function for that in one of the common libraries? I want to avoid writing it myself if it's already out there.</p>
Mason Porter<p>Our 95-page mega-review article is out on arXiv!</p><p>"Structural Robustness and Vulnerability of Networks" (by Alice C. Schwarze, Jessica Jiang, Jonny Wray, Mason A. Porter): <a href="https://arxiv.org/abs/2409.07498" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2409.07498</span><span class="invisible"></span></a></p><p>This is a very ambitious article, which was led superbly by Alice. Hopefully, our article will guide research on this topic for a decade or more.</p><p><a href="https://mastodon.social/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a> <a href="https://mastodon.social/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networks</span></a> <a href="https://mastodon.social/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> <a href="https://mastodon.social/tags/complexsystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>complexsystems</span></a></p>
Valdis Krebs<p>Funny how things change...</p><p>The <a href="https://mastodon.social/tags/network" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>network</span></a> graph on the left below is how JD Vance's book "Hillbilly Elegy" was read mostly by the folks on the left political spectrum in 2017.</p><p>Whereas today, seven years later, the *very same book* is embedded in the readers that are on the right in the political spectrum.</p><p>The data is from Amazon (Kindle) showing people who read "Hillbilly Elegy" also read the certain other books in each graph.</p><p><a href="https://mastodon.social/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a></p>
Brian C. Keegan, Ph.D.<p>New karate club just dropped. <a href="https://hci.social/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> <a href="https://social.skewed.de/@netzschleuder/112201040200911893" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">social.skewed.de/@netzschleude</span><span class="invisible">r/112201040200911893</span></a></p>
Brian C. Keegan, Ph.D.<p>Here’s a teaser slide from my guest lecture “Sports + Analytics + Surveillance” for CU’s “Professor Prime” class. </p><p><a href="https://www.washingtonpost.com/sports/2024/02/15/deion-sanders-college-course/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">washingtonpost.com/sports/2024</span><span class="invisible">/02/15/deion-sanders-college-course/</span></a></p><p><a href="https://hci.social/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> <a href="https://hci.social/tags/sts" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sts</span></a></p>
Netzschleuder<p>sp_office: Workplace contacts (2013)</p><p>A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.</p><p>This network has 92 nodes and 9827 edges.</p><p>Tags: Social, Offline, Weighted, Temporal, Metadata<br><a href="https://networks.skewed.de/net/sp_office" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">networks.skewed.de/net/sp_offi</span><span class="invisible">ce</span></a></p><p><a href="https://social.skewed.de/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networks</span></a> <a href="https://social.skewed.de/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://social.skewed.de/tags/networkscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networkscience</span></a> <a href="https://social.skewed.de/tags/netzschleuder" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netzschleuder</span></a></p>
Valdis Krebs<p><span class="h-card" translate="no"><a href="https://mastodon.social/@jarango" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>jarango</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@hrheingold" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>hrheingold</span></a></span> what is really interesting about “connected notes” are the clusters they create, and the clusters that intersect. <a href="https://mastodon.social/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a></p>
Dr. Verónica Espinoza<p>🥰16 Network visualization tools. In this 2nd version of my poster, I updated some networks, added more tools, and wrote a Medium Story.<br>👉Read my Medium Story here: <a href="https://medium.com/@vespinozag/16-network-visualization-tools-that-you-should-know-2c26957b707e" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@vespinozag/16-netw</span><span class="invisible">ork-visualization-tools-that-you-should-know-2c26957b707e</span></a></p><p><a href="https://mastodon.social/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkScience</span></a> <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.social/tags/postdoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>postdoc</span></a> <a href="https://mastodon.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/Bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bioinformatics</span></a></p>

A different kind of Congressional polarization: U.S. House staff co-employment, 2011Q1–2022Q4.

Two nodes are connected if the same U.S. House member employed them. Nodes are colored by both party affiliation (blue for Democrats, red for Republicans, purple for both) and gender (darker for male reps, lighter for female reps).

Data from U.S. House Disbursements: house.gov/the-house-explained/

#DataViz #NetworkScience cc @zpneal @Valdis

Personal: I am very happy to announce that I have accepted a tenure-track Assistant Professor position at the University of Groningen. Looking forward to further collaborations, and am glad to continue working within the Information Systems Group at the Bernoulli Institute.

@academicchatter get in touch if you are working on #networkscience, #datascience, #misinformation, #polarization, #privacy, #crowdsourcing #SocialComputing #complexsystems @academicsunite

We have reached 100 members on datasci.social! 🥳

Since opening registrations in Jan with 50 members we have doubled in size, following a nice pace of growth. We are now also steadily posting over 100 new posts/week.

With ample capacity to grow, we encourage everyone interested in #DataScience, #NetworkScience, #ComputationalSocialScience, and related fields to join us, or to spread the word about our place. #MastoAdmin

community.datasci.social/blog/

Update after 1 week of open registrations at datasci.social: We had 24 new signups, growing to 64 active members. This is a nice pace - everything running smoothly. We have capacity for much more 😎 #mastoadmin #serverinfo

datasci.social is probably the only Mastodon instance dedicated to #dataScience or #networkScience - if you are active in these topics and want to be part in / build a place with like-minded people, join us here: datasci.social/auth/sign_up