- Title
- Who are convincing? An experience based opinion formation dynamics in online social networks
- Creator
- Das, Rajkumar; Kamruzzaman, Joarder; Karmakar, Gour
- Date
- 2016
- Type
- Text; Conference proceedings; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/156152
- Identifier
- vital:11383
- Identifier
- ISBN:978-9-07738195-3
- Abstract
- Online social network (OSN) is one of the major platforms where our opinions are formed now-a-days and increasing so. Opinion formation dynamics captures the ways public opinions are formed, mainly from two different sources, (i) neighbours' opinions, (ii) external opinions from sources other than the neighbours. In this paper, we formulate an opinion formation model by considering two very important factors, that were ignored or a very little explored in the literature. First, we model the convincing power of the opinions encountered from the two sources. Second, we incorporate the experience of users' previous interactions with the two opinion sources. The problem is formulated as an agent based model where each member of an OSN is represented with an agent and their relationships with a graph. Finally through simulation, we create various scenarios, and apply our model to observe the steady state outcomes of the dynamics. This helps us to study the nature of the public opinions under various influences of our model parameters.; European Simulation and Modelling Conference 2016, ESM 2016
- Publisher
- EUROSIS
- Relation
- 30th European Simulation and Modelling Conference, ESM 2016; Las Palmas, Spain; 26th-28th October 2016 p. 167-173
- Rights
- Copyright (c) EUROSIS-ETI Bvba
- Rights
- This metadata is freely available under a CCO license
- Subject
- Agent based model; Credibility of opinion sources; Online social networks; Opinion formation dynamics; Autonomous agents; Computational methods; Dynamics; Modal analysis; Online systems; Websites; Agent-based model; Model parameters; On-line social networks; Online social networks (OSN); Opinion formation; Opinion formation models; Public opinions; Steady state; Social networking (online)
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