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.
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
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.
Between 13th and 17th October 2017 , the course "Network Analysis with RSiena" organized by our Research Group was held under the Training Program of Centre for Social Sciences . The purpose of the basic course was to provide insights into the static and dynamic analysis methods of social networks and their practical application in the R statistical environment, and to enable participants to use the analytical methods presented during their own work. The introductory week was a basis for the next week's advanced RSiena analysis methods course. Besides the theoretical introduction of Károly Takács, Anikó Havelda, Dorottya Kisfalusi and Samu Flóra were attending classes for the participants.
Tanja Sliskovic, researcher from the University of Zagreb, joined us for three months as a visitor scholar. On November 7th, she will be presenting in our regular seminar series about "Sharing Values Matters - The Role of Value Homophily in Asking for Advice Among Employees"
2nd Networks, Complexity, and Economic Development workshop takes place on HAS Centre for Social Sciences on June 8-9, 2017 organizing by former member of our research group, László Lőrincz.
For more information please follow this link: http://econ.core.hu/networks_complexity_development_program.html
Recent papers and publications
The paper of Károly Takács as a co-author with Giangiacomo Bravo and Flaminio Squazzoni "Referrals and Information Flow in Networks Increase Discrimination: A Laboratory Experiment" has been published by Social Networks. (Impact factor: 2.462)
The paper of Szabolcs Számadó as a co-author with József Garay, Villő Csiszár, Tamás F. Móri, András Szilágyi and Zoltán Varga "Juvenile honest food soliciation and parental investment as a life history strategy" has been published by PLOS One (Impact Factor: 2.806)
The paper of Szabolcs Számadó as a co-author with Dustin J. Penn "Does the handicap principle explain the evolution of dimorphic ornaments?" has been published by Animal Behaviour (Impact Factor: 2.869)
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.