A computational model for dyadic relationships

Clio Maria Andris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pairs of agents, called dyads or ego-Alter pairs, meet, develop and dissolve within the confines and provisions of the built environment. Within the environment, dyads transfer and receive information from one another and the external world and use this information to (re)evaluate their inclination toward the relationship. Thus, any active dyadic relationship can be represented by three states: colocating (COL), telecommunicating (TEL), or evaluating the cost/benefit of sustaining the relationship, i.e. inclination (INC). At any given time, relationships can transition between states. These states/events are manifested within large datasets in the digital era. The numeric cost of colocating and telecommunicating can be computed easily with context from the geographic environment. Evaluating INC cost is more difficult, but relies on social network alternatives and personal values. When any costs change, agents reevaluate the cost and benefit of relinquishing some relationships for more attractive alternatives. We experiment with this framework using an example action script and collected data from 27 agents.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages565-573
Number of pages9
ISBN (Electronic)9781509032075
DOIs
StatePublished - Jan 1 2016
Event17th IEEE International Conference on Information Reuse and Integration, IRI 2016 - Pittsburgh, United States
Duration: Jul 28 2016Jul 30 2016

Other

Other17th IEEE International Conference on Information Reuse and Integration, IRI 2016
CountryUnited States
CityPittsburgh
Period7/28/167/30/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management

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    Andris, C. M. (2016). A computational model for dyadic relationships. In Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016 (pp. 565-573). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2016.83