Glad to see @RAbdolazimi's cool work is getting noticed! We show and prove that you can take any community detection method, add limited noise to the network before running it, and get better communities. Talk today, join if @ACMHT#acmht20 Paper: https://t.co/Pni1HuGqEq
Looking for a postdoc? You can do a 2yr @CIFellows postdoc with me on social media/networks/ML. Interested? email: [email protected]
Eligible? done with PhD/postdoc between 7/1/19-12/31/20. More https://t.co/VtO6mXgwn7 Pls spread the word! @EECSSyracuse@EngineeringSU@SyracuseU
[Today 1:30-4:00] Come see our demo "WebShapes" @WSDMSocial & Shengmin @jeff_jsm! Generate a 3D shape for any network. Shapes capture many graph properties and can help distinguish graphs. Max & Richard, two brilliant high school students helped develop this! @SUDataLab#wsdm2020
Congratulations to Computer and Information Science Ph.D. candidate Xinyi Zhou! She was selected as the first recipient of the Pramod K. and Anju Varshney Endowed Graduate Scholarship. #SyracuseU#Tech#ComputerScience#STEM
https://t.co/oDRXFsnW0F
Xinyi is doing a great job presenting our tutorial on fake news with @liuhuan on fake news at WSDM 2019 #wsdm2019#wsdm@SUDataLab want to know more? see here: https://t.co/jvF0go7NCr
We represent *any* network with a 3D shape. Shapes capture various network properties: isomorphic graphs = same shapes, different graphs (random graphs, dense graphs, etc.) have different shapes. Attend the talk/poster session! #icdm18#icdm2018@icdm2018
[Today,Session 9E: Pacific 1] Emotions in Social Networks https://t.co/IJHnMhRXhM Find how emotions vary across users, how they evolve, and how they are connected to social ties+the dual of structural balance (signed nodes instead of edges) #cikm2017#cikm17@jeff_jsm@SUDataLab