BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Namur Institute For Complex Systems - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.naxys.be
X-WR-CALDESC:Events for Namur Institute For Complex Systems
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20201105T130000
DTEND;TZID=Europe/Paris:20201105T140000
DTSTAMP:20260429T071613
CREATED:20201028T170526Z
LAST-MODIFIED:20210101T153958Z
UID:819-1604581200-1604584800@www.naxys.be
SUMMARY:Joseph O'Brien (MACSI\, University of Limerick\, Ireland)
DESCRIPTION:Title: Branching Processes and their Application to Popularity Dynamics \nAbstract: Arising from a desire to understand the likelihood of a family name becoming extinct\, branching processes have a rich history and have been shown to be applicable to a wide range of domains. The simplest description of these processes is the case where a parent has a random number of children during their lifetime who themselves proceed to have a similarly distributed number of children. In this talk I demonstrate how the processes may be used to describe social spreading phenomena whereby the parents are now online pieces of information (tweets\, online threads\, …) while their children correspond to interactions with these pieces (retweets\, comments\,…) and as such may represent social contagion dynamics. Two specific examples will be considered in detail\, the first being a mathematical model of online spreading across multiple social media platforms and the effect said network structure has upon the dynamics [2]. Second\, I will demonstrate how a branching process approach can allow a unified understanding of the well-studied Hawkes process (which has itself been shown to accurately describe social spreading features [3]) and may in fact allow one to make predictions regarding future dynamics of such processes [4]. \n[1] K. B. Athreya and P. E. Ney\, Branching Processes (Springer Science + Business Media\, New York\, 2013). \n[2] J. D. O’Brien\, I. K. Dassios\, and J. P. Gleeson. Spreading of memes on multiplex networks. New Journal of Physics\, 21(2):025001\, 2019. \n[3] A. N. Medvedev\, R. Lambiotte\, and J.-C. Delvenne. The anatomy of Reddit: An overview of academic research. In Dynamics on and of Complex Networks\, pages 183–204. Springer\, 2017. \n[4] J. D. O’Brien\, A. Aleta\, Y. Moreno\, and J. P. Gleeson. Quantifying uncertainty in a predictive model for popularity dynamics. Physical Review E\, 101(6):62311\, 2020. \n  \nLink to the teams group “naXys Seminars” (unamur members) here \nLink to the seminar here \nFor any problem with the links\, write to riccardo.muolo@unamur.be
URL:https://www.naxys.be/event/joey-obrien-macsi-university-of-limerick-ireland/
LOCATION:Online Event
CATEGORIES:NAXYS Seminar
END:VEVENT
END:VCALENDAR