Aggressive Monetization: Why the Pay for Currency Model is Dominating the iOS App Store Today

The Apple iOS App Store has only been around for 5 years, and yet it has completely changed the way that mobile software is distributed. In this brief period, the online marketplace has seen dramatic shifts in the most successful strategies used by iOS software developers and, more specifically, game developers to gain revenue. As of March 14th 2014 fifteen of the twenty top-grossing iOS apps feature some form of in-app currency that users may purchase with real money, eighteen are mobile video games, and all twenty of these apps are free to download. This paper explores a new business strategy, the pay for currency model, which has been highly successful in generating huge profits from App Store software distribution. This paper first builds on existing economic models for network externalities to include non-paying customers and provides an argument for how iOS games with in-app currencies can achieve a form of first-degree price discrimination

Parallel evolution of genes and languages in the Caucasus region

We analyzed 40 single nucleotide polymorphism and 19 short tandem repeat Y-chromosomal markers in a large sample of 1,525 indigenous individuals from 14 populations in the Caucasus and 254 additional individuals representing potential source populations. We also employed a lexicostatistical approach to reconstruct the history of the languages of the North Caucasian family spoken by the Caucasus populations. We found a different major haplogroup to be prevalent in each of four sets of populations that occupy distinct geographic regions and belong to different linguistic branches. The haplogroup frequencies correlated with geography and, even more strongly, with language. Within haplogroups, a number of haplotype clusters were shown to be specific to individual populations and languages. The data suggested a direct origin of Caucasus male lineages from the Near East, followed by high levels of isolation, differentiation, and genetic drift in situ. Comparison of genetic and linguistic reconstructions covering the last few millennia showed striking correspondences between the topology and dates of the respective gene and language trees and with documented historical events. Overall, in the Caucasus region, unmatched levels of gene–language coevolution occurred within geographically isolated populations, probably due to its mountainous terrain.Oleg Balanovsky, Khadizhat Dibirova, Anna Dybo, Oleg Mudrak, Svetlana Frolova, Elvira Pocheshkhova, Marc Haber, Daniel Platt, Theodore Schurr, Wolfgang Haak, Marina Kuznetsova, Magomed Radzhabov, Olga Balaganskaya, Alexey Romanov, Tatiana Zakharova, David F. Soria Hernanz, Pierre Zalloua, Sergey Koshel, Merritt Ruhlen, Colin Renfrew, R. Spencer Wells, Chris Tyler-Smith, Elena Balanovska and The Genographic Consortiu