Social influence and the Matthew mechanism: The case of an artificial cultural market

Bask, Miia; Bask, Mikael

doi:10.1016/j.physa.2014.06.039

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…Although the discussion in this paper is centered on people’s life courses and inequality in society, our measure of the Matthew mechanism may find empirical applications in other areas of the social sciences (see [ 19 ] for one such example).…”

Section: What Is the Value Added By Measuring λ ?mentioning

confidence: 99%

Cumulative (Dis)Advantage and the Matthew Effect in Life-Course Analysis

Bask

2015

PLoS ONE

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To foster a deeper understanding of the mechanisms behind inequality in society, it is crucial to work with well-defined concepts associated with such mechanisms. The aim of this paper is to define cumulative (dis)advantage and the Matthew effect. We argue that cumulative (dis)advantage is an intra-individual micro-level phenomenon, that the Matthew effect is an inter-individual macro-level phenomenon and that an appropriate measure of the Matthew effect focuses on the mechanism or dynamic process that generates inequality. The Matthew mechanism is, therefore, a better name for the phenomenon, where we provide a novel measure of the mechanism, including a proof-of-principle analysis using disposable personal income data. Finally, because socio-economic theory should be able to explain cumulative (dis)advantage and the Matthew mechanism when they are detected in data, we discuss the types of models that may explain the phenomena. We argue that interactions-based models in the literature traditions of analytical sociology and statistical mechanics serve this purpose.

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Section: What Is the Value Added By Measuring λ ?mentioning

confidence: 99%

Cumulative (Dis)Advantage and the Matthew Effect in Life-Course Analysis

Bask

2015

PLoS ONE

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“…Inequality in the network comes from the polarized allocation of factors by network structures 14 and from the unequal gravity between nodes and factors 13 . This is mainly related to two research fields: first, exploring the optimization direction of network structure from the perspective of improving the efficiency or fairness of network configuration; and second, finding a reference from research on the relationship between factor mobility and economic growth.…”

Section: Introductionmentioning

confidence: 99%

Factor mobility, transportation network and green economic growth of the urban agglomeration

Yang

2022

Sci Rep

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Understanding the externalities of transportation networks in the process of the agglomeration and diffusion of production factors has theoretical and practical significance for the coordinated development of China's economic growth in urban agglomerations. Therefore, the social network analysis method is introduced in this paper with the case of the Pan Pearl River Delta Urban Agglomeration to analyze the characteristics of the traffic connection network of the production factor flow within this urban agglomeration, and subsequently, an econometric panel model is adopted to quantitatively analyze the effect of the connection network on the economic growth of the urban agglomeration. The results show that (1) the traffic connection of the Pan Pearl River Delta Urban Agglomeration has network characteristics typical of a “small world”. Although the connections between cities are gradually strengthening, the regional differences are obvious, showing a core–edge pattern of eastern agglomeration and western sparseness. (2) Among the network nodes, Guangzhou, Shenzhen and other cities have obvious agglomeration and diffusion effects, stabilizing economic growth while driving the development of surrounding cities. The "polarization effect" in Chongqing and Chengdu has significantly increased, and the accumulation of factors mainly meets their own economic development but has not yet spread. (3) The Pan Pearl River Delta Urban Agglomeration's transportation network influences the region’s economic growth through the structural effect, as it strengthens the economic ties between cities, and through the action of resource factors, as the network represents the aggregation and diffusion path of factor flow. (4) Due to the different traffic connections and industrial structures across the Pan Pearl River Delta Urban Agglomeration, the factor flow of each suburban agglomeration has a differentiated impact on the regional economic growth under the traffic connection network. Therefore, to realize the coordinated economic development of the Pan Pearl River Delta Urban Agglomeration, it is necessary to "adjust measures to local conditions" and formulate accurate and precise policies.

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Skill, status and the Matthew effect: a theoretical framework

Bask

2024

J Comput Soc Sc

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To gain a deeper understanding of the Matthew effect in academic recognition among researchers, three social influence models of status hierarchies in the form of agent-based models are presented, where the positivity of the Lyapunov characteristic exponent is the quantitative operationalization of the Matthew effect. We find that the Matthew effect in status attribution is a generic property of the social influence model where skills depend on status (28.1% of all examined parameterizations) twice as often as in the model with constant skills (14.1%) and that the Matthew effect is a generic property of the model where skills depend on previous skills (43.0%) trice as often as in the model with constant skills. Hence, if one argues in favor of a meritocratic system in which research grants are awarded based on researchers’ skills rather than their status in the scientific community, and if grant-providing bodies also adhere to this principle, there is a higher probability of observing the Matthew effect in academic recognition among researchers. Employing the Lyapunov characteristic exponent to investigate the presence of the Matthew effect in a theoretical model is novel in the literature.

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Social influence and the Matthew mechanism: The case of an artificial cultural market

Cited by 7 publications

References 16 publications

Cumulative (Dis)Advantage and the Matthew Effect in Life-Course Analysis

Cumulative (Dis)Advantage and the Matthew Effect in Life-Course Analysis

Factor mobility, transportation network and green economic growth of the urban agglomeration

Skill, status and the Matthew effect: a theoretical framework

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