CINET is an open-access, web-based tool for analyzing networks that represent interactions in large-scale complex systems. CINET was developed at Virginia Tech and was partially funded by NSF. It provides a large set of networks and algorithms to analyze them. Users can also add their own networks and have them analyzed by the algorithms supported by CINET. The web-based interface has been designed to simplify analysis of complex networks for users who are not necessarily computer scientists.
This workshop will allow faculty, postdocs, graduate and undergraduate students from various disciplines to obtain hands-on experience with the CINET system. This is the second of two workshops on CINET; the first was held at Virginia Tech on July 10, 2015.
Important note: Attendees who want to complete the CINET exercises will need a laptop computer to use the CINET system.
Workshop Schedule (All times are EDT):
8:30 – 9:15 AM Registration, Breakfast and setting up CINET accounts
9:15 – 9:30 AM Opening remarks and speaker introduction
9:30 – 10:30 AM Keynote address by Professor Boleslaw K. Szymanski (Rensselaer Polytechnic Institute)
Title: Dynamics of Spread of Opinions in Social Networks
10:30 – 11:00 AM Coffee break
11:00 – 11:20 AM CINET Overview
11:20 – 12:20 PM How to use CINET along with Exercise I
12:20 – 12:30 PM Initial discussion on CINET with participants
12:30 – 1:30 PM Lunch
1:30 – 2:00 PM Use of CINET in Education and Research
2:00 – 3:00 PM Exercise II for the participants
3:00 – 3:20 PM Coffee break
3:20 - 4:00 PM Introduction to Edison along with Exercise I on Edison
4:00 – 4:15 PM User survey by the participants
4:15 – 4:30 PM Final discussion on CINET with participants
4:30 PM Brief closing remarks
For more information, please visit CINET. Registration is open and travel support is available.
Organizers: Keith Bisset (NDSSL, Virginia Tech), Maleq Khan (NDSSL, Virginia Tech), Chris Kuhlman (NDSSL, Virginia Tech), Maureen Lawrence-Kuether (NDSSL, Virginia Tech), Madhav Marathe (NDSSL, Virginia Tech), Kristine Moore (UAlbany) and S. S. Ravi (UAlbany).