the emergence of collective memories sungmin lee verónica ramenzoni petter holme
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THE EMERGENCE OF COLLECTIVE MEMORIES
Sungmin LeeVerónica RamenzoniPetter Holme
http://www.tp.umu.se/~holme/
Petter@DPG
I became interested in a science career
discrete mathematics
(my collaborator) Fredrik Liljeros decided to come here
complex network boom of early 00’s
(my office mate) MartinRosvall was invited
Narrative network / memory web
What is the topology of real narrative networks?How can we model the evolution of narrative networks / memory webs?How (much) can communication stabilize collective memories?What are the conditions for groups to form?How does the observations behave as a function of population size?
Outline
Empirical memory webSource material
Bearman, Moody, Faris, 2003. “Networks and History” Complexity 8:61–71.
Empirical memory webIndividual memory web 1
Bearman, Moody, Faris, 2003. “Networks and History” Complexity 8:61–71.
Empirical memory webIndividual memory web 2
Bearman, Moody, Faris, 2003. “Networks and History” Complexity 8:61–71.
Empirical memory webAggregate memory web
Bearman, Moody, Faris, 2003. “Networks and History” Complexity 8:61–71.
Empirical memory webDegree distribution
Empirical memory webCommunity structure
N agents with individual memory webs connected by a coevolving social networkAgents can learn about history from experience or communication.Closer friends are more likely to communicate & people who communicate often are closer friends.
Events / associative arcs remembered more strongly are more frequently discussed, and vice versa.
Events / associative arcs not talked about are gradually forgotten.
Model ingredients
Communication modelLearning dynamics
Example outputMemory overlap, Jaccard index of associative arcs
Model community structureNumber of groups
Model community structureMemories and social ties
15
Model community structureSize- & communication-rate scaling of the number of communities
Model community structureSize-scaling of the diversity regime
Model community structureSize-scaling of the number of groups
Narrative networks represent memory webs.Network modeling can be helpful to understand these quantitatively.An empirical narrative network shows skewed (in- and out-) degree distribution.Propose a communication model that shows the emergence of collective memories… and the formation of communities with strong internal connections and similar memory websThe number of communities is limited as a function of N
Summary
Petter
Vielen Dank!to all of you … from
Sungmin Verónica
http://www.tp.umu.se/~holme/
Empirical memory webClustering coefficient vs. degree
Empirical memory webDegree correlations
Communication modelCommunity structure
Communication modelErrors & misinterpretations
Model community structureWhy a peak in g?
Model community structureSize-scaling of the diversity regime
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