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DTSTAMP:20260202T201300Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251121T080000
DTEND;TZID=America/Chicago:20251121T120000
UID:submissions.supercomputing.org_SC25_sess620_post257@linklings.com
SUMMARY:Algorithms and Applications of Dynamic Network Analysis Using CAND
 Y
DESCRIPTION:Aashish Pandey (University of North Texas), Arindam Khanda and
  S.M. Shovan (Missouri University of Science and Technology), Ali Y. Khan 
 (University of North Texas), Boyana Norris (University of Oregon), Sajal K
 . Das (Missouri University of Science and Technology), and Sanjukta Bhowmi
 ck (University of North Texas)\n\nMany complex systems across diverse doma
 ins can be represented as dynamic networks, where entities are modeled as 
 time-varying nodes and interactions among these entities are modeled as ev
 olving edges. Analyzing such networks provides insights into the underlyin
 g temporal characteristics of the system and supports informed decision-ma
 king. However, timely and resource-efficient analysis of large, complex ne
 tworks is challenging without specialized approaches, as it requires conti
 nuous updates to graph properties. Previously, we presented CANDY (Cyberin
 frastructure for Accelerating Innovation in Network Dynamics), a scalable 
 platform for modeling, managing, and analyzing large dynamic networks.\n\n
 Here, we showcase real-world applications in transportation, social networ
 ks, and public safety, modeled as dynamic networks and analyzed using CAND
 Y.\n\nTag: Research & ACM SRC Posters\n\nRegistration Category: Technical 
 Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center for Computati
 onal Science (R-CCS)); Anja Gerbes (Georg-August-Universität Göttingen); a
 nd Chris Schlipalius (Pawsey Supercomputing Research Centre; Commonwealth 
 Scientific and Industrial Research Organisation (CSIRO), Australia)\n\n
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