RECENS proudly presents the video for our ERC funded project (acronym: EVILTONGUE, grant agreement No 648693). 
 

Workshop on Gossip, Reputation, and Honesty

17-18 May, 2018
Budapest, Hungary
http://recens.tk.mta.hu/en/gossip-workshop-2018

Anti-immigration discourses in Hungary during the ‘crisis’ year: the Orbán government’s ‘National Consultation’ campaign of 2015. (In Sociology 2018. 3. sz. Impact factor: 1.96)

Bullies and Victims in Primary Schools -

The Associations between Bullying, Victimization, and Students’ Ethnicity and Academic Achievement

This study examines the associations between four types of peer-reported bullying and peer-reported victimization (mocking, physical bullying, negative gossip, cyberbullying), and students’ ethnicity and academic achievement among sixth-grade Hungarian primary school students.

Please click to see more informations and download.

The paper of Szabolcs Számadó as a co-author with István Zachar, András Szilágyi and Eörs Szathmáry, "Farming the mitochondrial ancestor as a model of endosymbiotic establishment by natural selection" has been published by the Proceedings of the National Academy of Sciences of the United States of America (Impact Factor: 9.7)

The paper of Boróka Pápay as a co-author, "Content analysis of corruption coverage: Cross-national differences and commonalities" has been published by the European Journal of Communication (Impact Factor: 1.408)

The paper of Szabolcs Számadó, "When honesty and cheating pay off: the evolution of honest and dishonest equilibria in a conventional signalling game" has been published in BMC Evolutionary Biology (Impact Factor: 3.221)

The article of Ágnes Neulinger and Márta Radó "The Impact of Household Life-Cycle Stages on Subjective Well-Being: Considering the Effect of Household Expenditures in Hungary" has been accepted by International Journal of Consumer Studies  (Impact Factor: 1.51)

Srebrenka Letina has joined our research group. Her task will be to develop a new, triad-based statistical methodology under the sub-project "Triad Based Methodology" of the ERC-CoG-648693 project.

From 24th to 27th October 2017, the Advanced RSiena and Relational Event Models workshop was held as a continuation of the previous week's basic course. The leaders of the workshop were Christoph Stadtfeld, Timon Elmer and Zsófia Boda, all from ETH Zürich's researchers and James Hollway from Geneva University. The first half of the course was aimed to upgrade users of Stochastic Actor Oriented Models (SAOMs) with cutting-edge knowledge in the RSiena environment. Topics included but not exclusively focus on multilevel modeling of network dynamics using multilevel Siena, and Bayesian estimation using sienaBayes. It was expected that users bring their own dataset or alternatively, they could freely use the RECENS school network panel during the course.

The second half of the course offered an introduction to the statistical analysis of relational events. Course participants were among the first ones after the EUSN conference in Mainz to get to know the Goldfish package in R for estimating Dynamic Network Actor Models (DyNAM). The Goldfish package in R allows the study of time-stamped network data using a variety of models. In particular, it implements different types of Dynamic Network Actor Models (DyNAMs), a class of models that is tailored to the study of actor-oriented network processess through time. Goldfish also implements different versions of the tie-oriented Relational Event Model by Carter Butts.