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#NetSci

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Jason H. Moore, Ph.D.<p>Information content of note transitions in the music of J. S. Bach <a href="https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.013136" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.aps.org/prresearch/ab</span><span class="invisible">stract/10.1103/PhysRevResearch.6.013136</span></a> <a href="https://mastodon.online/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.online/tags/netsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netsci</span></a> <a href="https://mastodon.online/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>music</span></a></p>
Jason H. Moore, Ph.D.<p>Higher-order correlations reveal complex memory in temporal hypergraphs <a href="https://www.nature.com/articles/s41467-024-48578-6" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41467-024</span><span class="invisible">-48578-6</span></a><br> <a href="https://mastodon.online/tags/netsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netsci</span></a> <a href="https://mastodon.online/tags/complexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>complexity</span></a></p>
Brian C. Keegan, Ph.D.<p>Question for <a href="https://hci.social/tags/netsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netsci</span></a> folks since maybe I'm looking in the wrong places or using the wrong language.</p><p>Has there been any conversation or synthesis between the exponential random graph model statistical community and the graph embedding ML community?</p>
Jason H. Moore, Ph.D.<p>A new focus on tidygraph <a href="https://www.data-imaginist.com/2023/a-new-focus-on-tidygraph/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">data-imaginist.com/2023/a-new-</span><span class="invisible">focus-on-tidygraph/</span></a> <a href="https://mastodon.online/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.online/tags/netsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netsci</span></a> <a href="https://mastodon.online/tags/graphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphs</span></a> <a href="https://mastodon.online/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.online/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a></p>
Brian C. Keegan, Ph.D.chi meta
Alice Schwarze<p>Hey friends in <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/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://fediscience.org/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> - does someone have code for a configuration model for tree <a href="https://fediscience.org/tags/graphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphs</span></a>, tree <a href="https://fediscience.org/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networks</span></a>, or <a href="https://fediscience.org/tags/decisiontrees" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>decisiontrees</span></a>? I don't want to reinvent the wheel if it's already out there <a href="https://fediscience.org/tags/netsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netsci</span></a> <a href="https://fediscience.org/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ml</span></a></p>
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