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Minimum weight dynamo and fast opinion spreading

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TLDR
Lower bounds are determined on the sum of the initial weights of the nodes under the irreversible simple majority rules, where a node increases its weight if and only if the majority of its neighbors have a weight that is higher than its own one.
Abstract
We consider the following multi---level opinion spreading model on networks. Initially, each node gets a weight from the set {0,…,k−1}, where such a weight stands for the individuals conviction of a new idea or product. Then, by proceeding to rounds, each node updates its weight according to the weights of its neighbors. We are interested in the initial assignments of weights leading each node to get the value k−1 ---e.g. unanimous maximum level acceptance--- within a given number of rounds. We determine lower bounds on the sum of the initial weights of the nodes under the irreversible simple majority rules, where a node increases its weight if and only if the majority of its neighbors have a weight that is higher than its own one. Moreover, we provide constructive tight upper bounds for some class of regular topologies: rings, tori, and cliques.

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Journal ArticleDOI

Opinion dynamics on interacting networks: media competition and social influence

TL;DR: This work introduces a sophisticated computational model of opinion dynamics which accounts for the coexistence of media and gossip as separated mechanisms and for their feedback loops and shows that plurality and competition within information sources lead to stable configurations where several and distant cultures coexist.

Opinion dynamics on interacting networks: media competition and social

TL;DR: In this article, the authors investigate how main stream media signed interaction might shape the opinion space and how different size (in the number of media) and interaction patterns of the information system may affect collective debates and thus the opinions distribution.
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Latency-bounded target set selection in social networks ☆

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Book ChapterDOI

Latency-Bounded Target Set Selection in Social Networks

TL;DR: In this paper, the problem of finding a minimum cardinality target set that eventually activates the whole graph G is hard to approximate to a factor better than O(2^{log √ log √ 1- √ √ ϵ + ϵ − 1 − 1}.
References
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Economic Action and Social Structure: The Problem of Embeddedness

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Maximizing the spread of influence through a social network

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Proceedings ArticleDOI

Mining the network value of customers

TL;DR: It is proposed to model also the customer's network value: the expected profit from sales to other customers she may influence to buy, the customers those may influence, and so on recursively, taking advantage of the availability of large relevant databases.
Book

Networks, Crowds, and Markets: Reasoning about a Highly Connected World

TL;DR: In this article, an introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior, addressing fundamental questions about how the social, economic, and technological worlds are connected.
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