Hybrid Galam–Bass Model for Technology Innovation

This work proposes a hybrid model that combines the Galam model of opinion dynamics with the Bass diffusion model used in technology adoption on Barabasi-Albert complex networks. The main idea is to advance a version of the Bass model that can suitably describe an opinion formation context while introducing irreversible transitions from group <i>B</i> (opponents) to group <i>A</i> (supporters). Moreover, we extend the model to take into account the presence of a charismatic competitor, which fosters conversion back to the old technology. The approach is different from the introduction of a mean field due to the interactions driven by the network structure. Additionally, we introduce the Kolmogorov-Sinai entropy to quantify the system's unpredictability and information loss over time. The results show an increase in the regularity of the trajectories as the preferential attachment parameter increases.

Authors

Institutions

Publication Details

Journal
Entropy
Published
2025-07-25
DOI
https://doi.org/10.3390/e27080789
Citations
1
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
1.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Galam–Bass Model for Technology Innovation

Claudiu Herţeliu, Parmjit Kaur, Giulia Rotundo, Marcel Ausloos et al.
1 citations
Entropy
Opinion Dynamics and Social Influence
1.32
article

Hybrid Galam–Bass Model for Technology Innovation

Claudiu Herţeliu, Parmjit Kaur, Giulia Rotundo, Marcel Ausloos, Gurjeet Dhesi, Roy Cerqueti
article en
1 citations

Abstract

This work proposes a hybrid model that combines the Galam model of opinion dynamics with the Bass diffusion model used in technology adoption on Barabasi-Albert complex networks. The main idea is to advance a version of the Bass model that can suitably describe an opinion formation context while introducing irreversible transitions from group <i>B</i> (opponents) to group <i>A</i> (supporters). Moreover, we extend the model to take into account the presence of a charismatic competitor, which fosters conversion back to the old technology. The approach is different from the introduction of a mean field due to the interactions driven by the network structure. Additionally, we introduce the Kolmogorov-Sinai entropy to quantify the system's unpredictability and information loss over time. The results show an increase in the regularity of the trajectories as the preferential attachment parameter increases.

EntropyVol. 27(8)
London Metropolitan University (GB), University of Leicester (GB), Babeș-Bolyai University (RO), Laboratoire Angevin de Recherche en Mathématiques (FR), Applications Research (United States) (US), Université d'Angers (FR), Sapienza University of Rome (IT), Bucharest University of Economic Studies (RO)
Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Sapienza Università di Roma, Gruppo Nazionale per la Fisica Matematica
Openalex Percentile: Top 17%
Opinion Dynamics and Social Influence
1.32
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Hybrid Galam–Bass Model for Technology Innovation — Claudiu Herţeliu, Parmjit Kaur, et al. · Entropy (2025) | TGRS Research Map | TGRS