Arbeitspapier

Naïve Learning in Social Networks: Convergence, Influence and Wisdom of Crowds

We study learning and influence in a setting where agents communicate according to an arbitrary social network and naïvely update their beliefs by repeatedly taking weighted averages of their neighbors’ opinions. A focus is on conditions under which beliefs of all agents in large societies converge to the truth, despite their naïve updating. We show that this happens if and only if the influence of the most influential agent in the society is vanishing as the society grows. Using simple examples, we identify two main obstructions which can prevent this. By ruling out these obstructions, we provide general structural conditions on the social network that are sufficient for convergence to truth. In addition, we show how social influence changes when some agents redistribute their trust, and we provide a complete characterization of the social networks for which there is a convergence of beliefs. Finally, we survey some recent structural results on the speed of convergence and relate these to issues of segregation, polarization and propaganda.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 64.2007

Klassifikation
Wirtschaft
Network Formation and Analysis: Theory
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Sociology of Economics
Transactional Relationships; Contracts and Reputation; Networks
Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Thema
Social Networks
Learning
Diffusion
Bounded Rationality
Soziales Netzwerk
Lernprozess
Beschränkte Rationalität
Theorie

Ereignis
Geistige Schöpfung
(wer)
Jackson, Matthew O.
Golub, Benjamin
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2007

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Jackson, Matthew O.
  • Golub, Benjamin
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2007

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