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234136
20260403T135751Z
DTSTART;TZID=America/New_York:20260407T140000
DTEND;TZID=America/New_York:2
 0260407T145000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/depar
 tment-mathematical-sciences-discrete-math-seminar-sandra-kingan-brooklyn-c
 ollege-and-graduate
Department of Mathematical Sciences Discrete Math Seminar: Sandra Kingan, B
 rooklyn College and the Graduate Center, CUNY
\n\n\n      \n      \n\n\n\nDepartment of Mathematical Sciences\nSandra Kingan, Brooklyn College and the Graduate Center, CUNY\nTuesday, April 7th, 2026\n2:
 00PM-2:50PM\nStratton Hall 311\n\nSpeaker: Sandra Kingan, Brooklyn College
  and the Graduate Center, CUNY\nTitle: Centrality Measures in Biological N
 etworks\nAbstract: Centrality measures quantify the importance of vertices
  in a network. In this talk, I will discuss two biological settings in whi
 ch centrality plays a useful role. The first comes from epidemic modeling,
  where the spectral properties of a contact network help predict whether a
 n infection will die out or persist. The largest eigenvalue of the adjacen
 cy matrix governs threshold behavior for disease spread, motivating a new 
 centrality measure that we call spread centrality. It captures the effect 
 of removing a vertex on the network’s capacity to sustain an epidemic. T
 he second comes from the analysis of bipartite gene-entity networks arisin
 g in studies of Alzheimer’s disease, where classical measures such as de
 gree, closeness, and betweenness rankings help identify prominent pathways
 . Together, these projects illustrate how graph-theoretic centrality provi
 des a useful mathematical lens for understanding biological systems at ver
 y different scales. This is joint work with my undergraduate research stud
 ents Vadym Cherniavskyi, Lea Choe, Gabriel Dennis, Ben Khal, Ravi Kingan, 
 and Alana Marzigliano.\n
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