The Simmel effect and babies’ names

Krawczyk, Małgorzata J.; Dydejczyk, A.; Kułakowski, K.

doi:10.1016/j.physa.2013.10.018

Cited by 14 publications

(16 citation statements)

References 28 publications

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“…Accordingly, the data on the intensity of internal migration shows a jump in the 40's [26]. Accepting that the richness of the datasets of baby names increases because of these migrations, this could throw some light also on the change in trend of the fragmentation index of the baby names (termed as inequality in [5]), observed shortly after 1940 [3,5]. On the other hand, the time dependence of the modularity Q shows also a maximum near 1940.…”

Section: Discussionmentioning

confidence: 99%

“…The time dependence of the parameter α has been found to show a weak and wide maximum in the early 50's, slightly more visible for boys' names. In [3], the data has been analysed in terms of the theory of fashion [4]. Two conclusions have been highlighted in [3]: (i) for many names, the rise of popularity is more abrupt than its fall; (ii) the time interval in which a name is popular is shorter when the set of selected names is richer.…”

Section: Introductionmentioning

confidence: 99%

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Inferring cultural regions from correlation networks of given baby names

Pomorski

Krawczyk

Kułakowski

et al. 2016

Physica A: Statistical Mechanics and its Applications

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We report investigations on the statistical characteristics of the baby names given between 1910 and 2010 in the United States of America. For each year, the 100 most frequent names in the USA are sorted out. For these names, the correlations between the names profiles are calculated for all pairs of states (minus Hawaii and Alaska). The correlations are used to form a weighted network which is found to vary mildly in time. In fact, the structure of communities in the network remains quite stable till about 1980. The goal is that the calculated structure approximately reproduces the usually accepted geopolitical regions: the North East, the South, and the "Midwest + West" as the third one. Furthermore, the dataset reveals that the name distribution satisfies the Zipf law, separately for each state and each year, i.e. the name frequency f ∝ r −α , where r is the name rank. Between 1920 and 1980, the exponent α is the largest one for the set of states classified as 'the South', but the smallest one for the set of states classified as "Midwest + West". Our interpretation is that the pool of selected names was quite narrow in the Southern states. The data is compared with some related statistics of names in Belgium, a country also with different regions, but having quite a different scale than the USA. There, the Zipf exponent is low for young people and for the Brussels citizens.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inferring cultural regions from correlation networks of given baby names

Pomorski

Krawczyk

Kułakowski

et al. 2016

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

show abstract

“…1c again) should be treated with special care, as the related increase should be at least partially attributed to the wave of immigrants [11], together with Robert, John, Mary and James. While the time dependences of the absolute numbers related to these names reveal almost the same pattern [3], the related percentages do not show any increase [12].…”

Section: Data On the Names Of Presidentsmentioning

confidence: 99%

“…Tracing the fashion of names, one can learn about emotional reactions to popular personalities in a social scale. Contrary to previous research [2][3][4][5], which dealt with statistical averages, here we are going to concentrate on case studies. Namely, we intend to trace the popularity of names of U.S. presidents in the 20th century and to compare the results with those on the names of selected celebrities.…”

Section: Introductionmentioning

confidence: 99%

Naming Boys after U.S. Presidents in 20th Century

et al. 2016

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This paper deals with the popularity of given names in the United States, for the period 1885-2009. Based on the data obtained from the website of U.S. Social Security Administration, it was demonstrated that the fashion of naming babies after the incumbent American president passed away in the '60s. At the same time, however, examples were given, mainly concerning celebrities, after whom babies are still named. The above theses were strengthened with the aid of quantitative data analysis by constructing an index dedicated to the specifics of the task under investigation. The obtained results were discussed in the terms of the rally effect and of the Simmel theory of fashion.

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“…For example, an interesting preference model, in which individuals are described by traits and preferences, has been introduced in [12] as an alternative to status models [6, 9] or the neutral model [13]. Nevertheless, Simmel’s theory can be applied to understand many fashion cycles [12, 14, 15] and is particularly interesting from the modeling point of view, due to its simplicity.…”

Section: Introductionmentioning

confidence: 99%

The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles

et al. 2016

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We study a simple agent-based model of the recurring fashion cycles in the society that consists of two interacting communities: “snobs” and “followers” (or “opinion hunters”, hence the name of the model). Followers conform to all other individuals, whereas snobs conform only to their own group and anticonform to the other. The model allows to examine the role of the social structure, i.e. the influence of the number of inter-links between the two communities, as well as the role of the stability of links. The latter is accomplished by considering two versions of the same model—quenched (parameterized by fraction L of fixed inter-links) and annealed (parameterized by probability p that a given inter-link exists). Using Monte Carlo simulations and analytical treatment (the latter only for the annealed model), we show that there is a critical fraction of inter-links, above which recurring cycles occur. For p ≤ 0.5 we derive a relation between parameters L and p that allows to compare both models and show that the critical value of inter-connections, p*, is the same for both versions of the model (annealed and quenched) but the period of a fashion cycle is shorter for the quenched model. Near the critical point, the cycles are irregular and a change of fashion is difficult to predict. For the annealed model we also provide a deeper theoretical analysis. We conjecture on topological grounds that the so-called saddle node heteroclinic bifurcation appears at p*. For p ≥ 0.5 we show analytically the existence of the second critical value of p, for which the system undergoes Hopf’s bifurcation.

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The Simmel effect and babies’ names

Cited by 14 publications

References 28 publications

Inferring cultural regions from correlation networks of given baby names

Inferring cultural regions from correlation networks of given baby names

Naming Boys after U.S. Presidents in 20th Century

The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles

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