Vedran Sekara

Vedran Sekara


I am a PhD student at the department of Informatics at the Technical University of Denmark.

My interests are in understanding complex networks. Originally a physicist by training I have shifted towards a multidisciplinary field that consists of elements from physics, sociology, anthropology, and computer science.

I have previously worked with biological network, but my current recently focuses on highly complex social networks. More specifically I am trying to understand how information stored in our links can be used to predict human behavior. The research is performed as a part of the High Resolution Social Networks project under the guidance of Prof. Sune Lehmann.


Academic grades

M.S. in Physics


Danish, English, Yugoslav (Serbian)

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  • P L o S One

    ISSNs: 1932-6203

    Public Library of Science, United States

    BFI (2018): BFI-level 1, Scopus rating (2016): CiteScore 3.11 SJR 1.201 SNIP 1.092, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Indexed in DOAJ

    Central database


  • National Academy of Sciences. Proceedings

    ISSNs: 0027-8424

    Additional searchable ISSN (Electronic): 1091-6490

    National Academy of Sciences, United States

    BFI (2018): BFI-level 2, Scopus rating (2016): CiteScore 8.56 SJR 6.321 SNIP 2.629, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


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ID: 7758081