Short presentation

Central goals of my research can be summarised as:

  • Integrating psychological research and social networks research to better understand both, psychology and social network processes
  • Using network theory and methods to broaden and readjust the way in which many psychological phenomena have been studied

I am working on two lines of research: social networks and psychological networks. I use network data collected in different kinds of organizations to improve understanding of social behavior, by employing cutting-edge statistical methods that also consider individual attributes of actors who make the network. This is a part of the on-going project that uses different methodological approaches, to uncover the role of gossiping in different social contexts. On the other hand, I work on typical psychological data and atypical (e.g. register-based) data related to psychological concepts, by employing theories and methods developed in network science. Currently, I am focused on reframing and understanding the relationship between different psychological concepts and on a better understanding of comorbidity of mental disorders. In both lines of research, I am interested in utilizing computationally advanced methods (agent-based modeling).

I earned my Ph.D. in psychology at the University of Zagreb. I was a researcher at the Institute for social sciences in Zagreb, and a visiting scholar at the University of Melbourne (School of Psychological science, Social Networks Lab, as a recipient of Endeavour fellowship). Recently, I enrolled at the PhD program in Network Science at the Central European University in Budapest, Department of Network and Data Science. As a PhD student of network science, I was a research visitor at the University of Amsterdam, Psychological Methods Lab. During my studies, I joined the Research Center for Educational and Network Studies at the Hungarian Academy of Sciences, where I started to work on the ERC research project “Eviltongue” (PI: Karoly Takacs), that continues here at the IAS. Currently I am finishing my network science thesis which is centered on the intersection of psychology and network science.

To find out more, please visit my personal webpage.

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Maya Jariego, Isidro; Letina, Srebrenka; Gonzalez Tinoco, Elena (in press, Network Science). Personal networks and psychological attributes: exploring individual differences in personality and sense of community and their relationship to the structure of personal networks.

Letina, Srebrenka; Blanken, Tessa; Deserno, Marie; Borsboom, Denny (2019). Expanding network analysis tools in psychological networks: Minimal spanning trees, participation coefficients, and motif analysis applied to a network of 26 psychological attributes. Complexity Journal, Volume 2019, Article ID 9424605, 27 pages.

Letina, Srebrenka (2016). Network and actor attribute effects on performance of researchers in two fields of social science in a small peripheral community. Journal of Informetrics, 10 (2), pp. 571–595.

Letina, Srebrenka; Robins, Garry; Maslic Sersic, Darja (2016). Reaching Out from a Small Scientific Community: The Social Influence Models of Collaboration across National and Disciplinary Boundaries for Scientists in Three Fields of Social Sciences. Revija za Sociologiju, 46 (2), pp. 103-139.

Lewis, Jenny; Letina, Srebrenka; Woelert, Paul (2016). Understanding the structures and effects of research collaboration. Melbourne School of Government – Incubator Research Project Grants.