BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MapCDPerNets - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://mapcdpernets.es
X-WR-CALDESC:Events for MapCDPerNets
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250602T000000
DTEND;TZID=UTC:20250606T235959
DTSTAMP:20260430T021708
CREATED:20250326T113848Z
LAST-MODIFIED:20250326T113942Z
UID:291-1748822400-1749254399@mapcdpernets.es
SUMMARY:Showing the equilibrium dynamics in human social networks @NetSci 2025 (Maastricht)
DESCRIPTION:Miguel-A. will present collaborative work (An exploration of equilibrium dynamics in social structures) at the international conference NetSci 2025 in Maastricht: \n\nAbstract: The dynamics of personal relationships remain largely unexplored due to the inherent difficulties of the longitudinal data collection process. In this paper\, we analyze a dataset tracking the temporal evolution of a network of personal relationships among 900 people over the course of four years. We search for evidence that the network is in equilibrium\, meaning that all macroscopic properties remain constant\, fluctuating around stable values\, while the internal microscopic dynamics are active. We find that the probabilities governing the network dynamics are stationary over time and that the degree distributions\, as well as edge and triangle abundances match the theoretical equilibrium distributions expected under these dynamics (see Fig. 1). Furthermore\, we verify that the system satisfies the detailed balance condition\, with only minor point deviations\, confirming that it is indeed in equilibrium. Remarkably\, this equilibrium persists despite a high turnover in network composition\, suggesting that it is an inherent characteristic of human social interactions rather than a trait of the individuals themselves. We argue that this equilibrium may be a general feature of human social networks arising from the competition between different dynamical mechanisms and also from the cognitive and material resources management of individuals. From a practical perspective\, the fact that networks are in equilibrium could simplify data collection processes\, validate the use of cross-sectional data-based methods like Exponential Random Graph Models\, and inform the design of interventions. Our findings advance the understanding of collective human behavior predictability and our ability to describe it using simple mathematical models.\n\n\n\n\nAuthors: Miguel A. González-Casado\, Andreia Sofia Teixeira and Angel Sánchez\n\n\n\nCome and join this talk in Maastricht at NetSci 2025
URL:https://mapcdpernets.es/event/showing-the-equilibrium-dynamics-in-human-social-networks-netsci-2025-maastricht/
LOCATION:Maastricht University\, Minderbroedersberg 4-6\, 6211 LH Maastricht\, Netherlands\, Maastricht\, 6211 LK\, Netherlands
END:VEVENT
END:VCALENDAR