The social brain of social media - a physiological boundary to the number of online relations
Bibliographic Data
| ID | 4615542 |
|---|---|
| Authors | Jens K Perret (0000-0003-3178-9529, CBS University of Applied Sciences, corresponding author) |
| Year | 2021 |
| Volume | 11 |
| Issue | 1 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-021-00762-y |
| OpenAlex | W3170936711 |
| Language | EN |
| Citations received | 2 |
| References cited | 47 |
Based on the research done by Dunbar and the resulting Social Brain Hypothesis, the present study introduced a mathematical model for the development of follower numbers and the number of followed accounts regarding users/influencers of Social Media platforms. Under very simple assumptions the mathematical model suggests that an universal upper bound to follower and followed numbers exists. The theoretical upper bound is then empirically validated by using a representative data set of 255 influencers on Instagram from the field of women's fashion. The follower numbers show convergence to a common boundary for the years 2018 to 2019 and stagnation for 2019 to 2020, while the number of followed accounts show stagnation for 2018 to 2019 and convergence for 2019 and 2020. The model in conjunction with its empirical validation therefore provides the mathematical background to establish the socio-biological Social Brain Hypothesis in the field of influencer marketing in regards to Social Media platforms
Econometrics · Economics · Influencer marketing · Social media · Upper and lower bounds · World Wide Web · Complex Network Analysis Techniques · Computer Science · Digital Marketing and Social Media · Mathematics · Opinion Dynamics and Social Influence
Disclosing sponsored Instagram posts
Robust Tests for Heteroscedasticity Based on Regression Quantiles
Regional convergence clusters across Europe
Do online social media cut through the constraints that limit the size of offline social networks?
Word of mouth and interpersonal communication
Networked Narratives
Everyone's an influencer
Social Media For Fashion Marketing
The structure of online social networks mirrors those in the offline world
The social brain hypothesis
Marketing through Instagram influencers
Una revisión crítica de la hipótesis del cerebro social de Dunbar
Convergence
Twin Peaks
Exploring variation in active network size
Social Network Sites
Neocortex size as a constraint on group size in primates
Self-branding, 'micro-celebrity' and the rise of Social Media Influencers
Social network size in humans
Identifying buzz in social media
The Strength of Weak Ties
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |