Top Tweets for #communityDetection
🎉CDlib v0.4.0 is out 🎉
This release comes with:
📌Novel #CommunityDetection algorithms
📌Additional #ClusteringSimilarity measures
📌Support for #CommunityEvents analysis/validation and visualization
Check it out: https://t.co/qGK7bJWiMk
>> pip install cdlib==0.4.0
#netsci
Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning
https://t.co/vGBXAsnjZ1
#Bike-Sharing #CommunityDetection #Short-TermPrediction #LSTM #COVID-19
#ApplyNow @isidore_eu #SocialSciences
Design #CommunitySurveillance activities #HumanHealth #AnimalHealth
@aighd @institutpasteur
Develop plans for #CommunityDetection of #EpidemicOutbreaks #PublicHealth #RiskIdentification facilitate #CommunityEngagement
https://t.co/tfN8EldYwy
Our recent paper “Tight Sampling in Unbounded Networks” W/
@deutranium, Meher Chaitanya, @ts_triansh @AbhijeethSingam @NidhigoyalGoyal & @UlrikBrandes (@sn_ethz)
Paper: https://t.co/npdEdfdHeP #SocialNetworks #sampling #CommunityDetection #Twitter
Findings🧵👇
Read #NewPaper "Density-Based Entropy Centrality for Community Detection in Complex Networks" from Krista Rizman Žalik and Mitja Žalik. https://t.co/MtqS7Llsg7
#networks
#undirectedgraphs
#communitydetection
#nodecentrality
#labelpropagation
📢 The Bayan Python package for #CommunityDetection has been downloaded over 4100 times in the past 70 days!
We are very excited to see our little software package is making new computations possible for other researchers.
>>>pip install bayanpy
More info:
https://t.co/QJ5fApTUwl
Are you at @IC2S2 and tied of randomly picking a #CommunityDetection algorithm and eyeballing the results on a network visualization? Join my #IC2S2 talk on July 20th at 12:15 at Room E where I'll present a comparison of 30 algorithms on standard LFR and ABCD benchmarks.
@RenaudLambiotte @vincentblondel 👏👏 Louvain was 10 years ahead of its time. It led to many other methodological advances and is still not easy to beat. If you're interested in a comparison of 30 #CommunityDetection algorithms on standard benchmarks, please feel free to check out this🧵
https://t.co/wzis3xwM12
Are you at @IC2S2 and tied of randomly picking a #CommunityDetection algorithm and eyeballing the results on a network visualization? Join my #IC2S2 talk on July 20th at 12:15 at Room E where I'll present a comparison of 30 algorithms on standard LFR and ABCD benchmarks.
Are you at @IC2S2 and tied of randomly picking a #CommunityDetection algorithm and eyeballing the results on a network visualization? Join my #IC2S2 talk on July 20th at 12:15 at Room E where I'll present a comparison of 30 algorithms on standard LFR and ABCD benchmarks.
Betweenness centrality measures the extent to which a node or edge lies on paths between nodes, and it's very valuable when it comes to community detection.
Check out our blog post on community detection.
https://t.co/wjn4YfE0qO
#memgraph #communitydetection #python #networkx
My recent paper with Weiqi Zhang and Hongyu Zhang "Deterrence or Coercion: Analyzing DPRK’s Nuclear Intentions with Its Propaganda Texts." #dprk #northkorea #textanalysis #communitydetection #clustering #networkanalysis #nuclearweapons
The Girvan-Newman algorithm relies on the iterative elimination of edges with the highest number of shortest paths between nodes passing through them.
Read more about it 👇
https://t.co/wjn4YfE0qO
#memgraph #communitydetection #python #networkx
#mdpientropy #topcitedpaper: "LPA-MNI: An Improved Label Propagation Algorithm Based on Modularity and Node Importance for Community Detection", by Huan Li et al.
See more details at: https://t.co/jDuOBVBRQn.
#communitydetection #randomness #labelpropagation #modularity
Conference paper from July 2022 with authors Jui-Yen Huang, Hui-Chen Lu @IUB_PNS & co-authors from @iu_pti IU’s Research Technologies, Abhinav Bajpai, James McCombs and M. Esen Tuna. #neuronalclustering #analysispipeline #communitydetection #highperformancecomputingm #IUImpact
#Communitydetection is a powerful tool for graph analysis. From terrorist detection to healthcare initiatives, these algorithms have found their place in many areas.
Take a look at how #NetworkX and #Memgraph work together.
https://t.co/wjn4YfE0qO
#python
#Communitydetection is a powerful tool for graph analysis. From terrorist detection to healthcare initiatives, these algorithms have found their place in many areas.
Take a look at how #NetworkX and #Memgraph work together.
https://t.co/wjn4Yfmp2e
#python
Betweenness centrality measures the extent to which a node or edge lies on paths between nodes, and it's very valuable when it comes to community detection.
Check out our blog post on community detection.
https://t.co/wjn4YfE0qO
#memgraph #communitydetection #python #networkx
The Girvan-Newman algorithm relies on the iterative elimination of edges with the highest number of shortest paths between nodes passing through them.
Read more about it 👇
https://t.co/wjn4YfE0qO
#memgraph #communitydetection #python #networkx
Hriday Chheda, my first @UofT student, presenting an algorithm for #CommunityDetection in networks and catching terrorists!
𝗕𝗮𝘆𝗮𝗻 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 will soon be freely accessible in Python🐍 through @_CDlib_
@UofTDSI @uoftmie
More info:
https://t.co/i3GTlcrk3B
@CarnegiePlanets’ Bob Hazen: #communitydetection on the co-occurrence #network of all #igneousrocks demonstrated 4 distinct groups. Paper out soon in #AmMin @carnegiescience @MinSocAm
#Fraud vs. #GDS🥊Learn how to leverage #clustering and #communitydetection for fraud detection in real life. https://t.co/D9RIAei9EJ
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