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SUMMARY:Des Higham (University of Edinburgh)
DTSTART:20201111T150000Z
DTEND:20201111T160000Z
DTSTAMP:20260423T022920Z
UID:E-NLA/20
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/E-NLA/20/">C
 oncepts and Algorithms for Higher Order Networks: Beyond Pairwise Interact
 ions</a>\nby Des Higham (University of Edinburgh) as part of E-NLA - Onlin
 e seminar series on numerical linear algebra\n\n\nAbstract\nNetwork scient
 ists have shown that there is great value in studying pairwise interaction
 s between components in a system. From a linear algebra point of view\, th
 is involves defining and evaluating functions of the associated adjacency 
 matrix. Recently\, there has been increased interest in the idea of accoun
 ting directly for higher order features. Such features may be built from t
 he adjacency matrix---for example\, a triangle involving nodes i\, j and k
  arises when the three edges\, i<->j\, j<->k and k<->i are present. In oth
 er contexts\, higher order information appears explicitly---for example\, 
 in a coauthorship network\, a document involving three authors forms a nat
 ural triangle. I will discuss the use of tensor-based definitions and algo
 rithms to exploit such higher order information. The algorithms also incor
 porate nonlinearities that  increase flexibility. I will focus on spectral
  methods that extend classical concepts of node centrality and clustering 
 coefficients. The underlying object of study will be a constrained nonline
 ar eigenvalue problem associated with a tensor. Using recent results from 
 nonlinear Perron--Frobenius theory\, we can establish existence and unique
 ness under mild conditions\, and show that such spectral measures can be c
 omputed efficiently and robustly with a nonlinear power method.\n\nThe tal
 k is based on joint work with Francesca Arrigo (University of Strathclyde)
  and Francesco Tudisco (Gran Sasso Science Institute).\n
LOCATION:https://researchseminars.org/talk/E-NLA/20/
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