46,019 research outputs found
Conventions spreading in open-ended systems
We introduce a simple open-ended model that describes the emergence of a
shared vocabulary. The ordering transition toward consensus is generated only
by an agreement mechanism. This interaction defines a finite and small number
of states, despite each individual having the ability to invent an unlimited
number of new words. The existence of a phase transition is studied by
analyzing the convergence times, the cognitive efforts of the agents and the
scaling behavior in memory and timeComment: 11 pages, 5 figure
Dynamical organization towards consensus in the Axelrod model on complex networks
We analyze the dynamics toward cultural consensus in the Axelrod model on
scale-free networks. By looking at the microscopic dynamics of the model, we
are able to show how culture traits spread across different cultural features.
We compare the diffusion at the level of cultural features to the growth of
cultural consensus at the global level, finding important differences between
these two processes. In particular, we show that even when most of the cultural
features have reached macroscopic consensus, there are still no signals of
globalization. Finally, we analyze the topology of consensus clusters both for
global culture and at the feature level of representation.Comment: 8 pages, 7 figures. Final version published in Physical Review
Finite-time Convergent Gossiping
Gossip algorithms are widely used in modern distributed systems, with
applications ranging from sensor networks and peer-to-peer networks to mobile
vehicle networks and social networks. A tremendous research effort has been
devoted to analyzing and improving the asymptotic rate of convergence for
gossip algorithms. In this work we study finite-time convergence of
deterministic gossiping. We show that there exists a symmetric gossip algorithm
that converges in finite time if and only if the number of network nodes is a
power of two, while there always exists an asymmetric gossip algorithm with
finite-time convergence, independent of the number of nodes. For nodes,
we prove that a fastest convergence can be reached in node
updates via symmetric gossiping. On the other hand, under asymmetric gossip
among nodes with , it takes at least node
updates for achieving finite-time convergence. It is also shown that the
existence of finite-time convergent gossiping often imposes strong structural
requirements on the underlying interaction graph. Finally, we apply our results
to gossip algorithms in quantum networks, where the goal is to control the
state of a quantum system via pairwise interactions. We show that finite-time
convergence is never possible for such systems.Comment: IEEE/ACM Transactions on Networking, In Pres
Values in Exchange: Ambiguous Ownership, Collective Action, and Changing Notions of Worth in Romanian Mutual Fund Industry
This paper analyzes the political disputes and legal contentions occasioned by the process of regulatory reform undergone by Romanian mutual fund industry. Stirred by Romania’s accession into the European Union in 2007 and prompted by the numerous financial scandals affecting the market right from its creation in 1994, the reform is meant as a reconfiguration of the investment philosophy characterizing the capital market. My claim is that the uneasy reception of the new institutional arrangement is related to the shifting premises for the formation of value and the deeper changes in the prevalent conceptions of worth associated with Romania’s economic transition
Incorporating stakeholders’ knowledge in group decision-making
International audienc
- …