OPINION DYNAMICS WITH LOCAL INTERACTIONS

Postgraduate Thesis uoadl:1326064 296 Read counter

Unit:
Κατεύθυνση Λογική και Θεωρία Αλγορίθμων και Υπολογισμού
Library of the School of Science
Deposit date:
2016-12-14
Year:
2016
Author:
SKOULAKIS EFSTRATIOS-PANTELEIMON
Supervisors info:
ΦΩΤΑΚΗΣ ΔΗΜΗΤΡΙΟΣ ΕΠ. ΚΑΘΗΓΗΤΗΣ ΕΜΠ
Original Title:
OPINION DYNAMICS WITH LOCAL INTERACTIONS
Languages:
English
Translated title:
OPINION DYNAMICS WITH LOCAL INTERACTIONS
Summary:
During the last century many researchers investigated the way individuals form their
opinions. The rapid growth of social networks in the recent years (Facebook,Twitter e.t.c)
has further intensified this interest. To this day, a lot of models, on how our opinions
evolve, have been proposed. In the huge majority of these models, each agent has to learn
a large amount of opinions of other agents in order to update her opinion. In this thesis,
we investigate the well studied Hegelsmann-Krause and Freidkin-Johson Model, under
the constraint that each agent can learn a small amount of opinions of other agents. We
propose three vatiations of these models, namely Network Hegelsmann-Krause, Random
Hegelsmann-Krause and Limited Information Friedkin-Johson Model and we investigate
their convergence properties.
Main subject category:
Science
Other subject categories:
Mathematics
Keywords:
Hegelsmann-Krause Model
Index:
No
Number of index pages:
0
Contains images:
No
Number of references:
27
Number of pages:
35
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