Social resistance

Michael P. Friedlander, Nathan Krislock, Ting Kei Pong

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Can we measure how close two people in a social network are just by knowing who is friends with whom? Can we infer the closeness of two people's research areas just by observing coauthor relations? Can we predict the importance of new roads just by looking at a current traffic network? In this case study, the authors investigate an approach to these questions and the algorithms behind the computations.
Original languageEnglish
Article number7426285
Pages (from-to)98-103
Number of pages6
JournalComputing in Science and Engineering
Issue number2
Publication statusPublished - 1 Mar 2016


  • Education
  • Networks
  • Rank-one Cholesky update
  • Resistance distance
  • Scientific computing

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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