Multi-level dynamo and opinion spreading†. (6th May 2015)
- Record Type:
- Journal Article
- Title:
- Multi-level dynamo and opinion spreading†. (6th May 2015)
- Main Title:
- Multi-level dynamo and opinion spreading†
- Authors:
- BRUNETTI, SARA
CORDASCO, GENNARO
LODI, ELENA
GARGANO, LUISA
QUATTROCIOCCHI, WALTER - Abstract:
- Abstract : We consider the following multi-level opinion spreading model on networks. Initially, each node gets a weight, from the set {0, . . ., k – 1}, which measures the individual conviction of a new idea or product. Then, by proceeding in rounds, each node updates its weight according to those of its neighbours. We study k -dynamos that are initial assignments of weights leading each node to get the value k – 1 – e.g. unanimous maximum level of acceptance – within a given number of rounds; the goal is to minimize the sum of the initial weights of the nodes. We determine lower bounds on the sum of the initial weights under the irreversible simple majority rules, where a node increases its weight if and only if the majority of its neighbours have a weight that is higher than its own. We study the relations among 2-dynamos and k -dynamos, with and without a bound on the number of rounds needed to reach the desired all-( k – 1) configuration. Moreover, we provide constructive tight upper bounds for some classes of regular topologies: rings, tori and cliques.
- Is Part Of:
- Mathematical structures in computer science. Volume 27:Number 2(2017)
- Journal:
- Mathematical structures in computer science
- Issue:
- Volume 27:Number 2(2017)
- Issue Display:
- Volume 27, Issue 2 (2017)
- Year:
- 2017
- Volume:
- 27
- Issue:
- 2
- Issue Sort Value:
- 2017-0027-0002-0000
- Page Start:
- 234
- Page End:
- 256
- Publication Date:
- 2015-05-06
- Subjects:
- Computer science -- Mathematics -- Periodicals
004.015105 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=MSC ↗
- DOI:
- 10.1017/S0960129515000080 ↗
- Languages:
- English
- ISSNs:
- 0960-1295
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 1395.xml