The Fellowship Program of the Network Science Society recognizes researchers who have made outstanding and significant contributions to network science research and to the community of network scientists. Elected nominees are named Fellows of the Network Science Society.

Criteria and Eligibility. The Fellowship will be awarded each year to up to 7 members of the community on the basis of their exceptional life-long individual contributions to any area of network science research and to the community of network scientists (locally and globally). All members of the community are eligible for nomination and election to the Fellowship. Selection from the pool of nominees will be conducted by the Fellowship Committee, to be appointed by the Network Science Society board and composed of a minimum of 4 prominent researchers active in the area of network science.

Award Ceremony. New Fellows will be honored at the banquet of the NetSci International School and Conference on Network Science of the corresponding year, where each Fellow will receive a personalized diploma with a citation. Attendance to the award ceremony is encouraged but not binding for fellowship election. Participation in the ceremony will be coordinated by the Network Science Society.

Nomination and Nomination Materials. Each nomination must be submitted by one guarantor, who will provide one single nomination letter co-signed by two additional sponsors. Self-candidatures will not be considered. Guarantors and sponsors are expected to be researchers active in the area of network science who are well-acquainted with the contributions of the nominee. For consideration, the guarantor is required to submit a nomination package consisting of the following:

  • Nomination letter for the candidate signed by the guarantor and two co-sponsors, which should include a proposed citation of no more than 30 words.

  • Curriculum vitae of the nominee, including full list of publications in the area of network science.

  • List of 10 most significant research publications in the area of network science.

  • Brief description of the nominee’s involvement with the network science community (both locally and globally).

All materials must be in English and the complete nomination package should be submitted via email to This email address is being protected from spambots. You need JavaScript enabled to view it.. The files should be in PDF (preferred) or Word format. Separate recommendation letters and other items not listed above will not be considered. New nominations not selected in a given year will be automatically considered for one subsequent year.

Deadline and Decisions. The 2019 Call for the Fellowship Program of the Network Science Society will be published in early 2019.



List of Fellows of the Network Science Society.

Class of 2018:


    • Réka Albert
      For her seminal contributions to the discovery of scale-free networks and the modeling of biological networks.


    • Mark Granovetter
      For foundational contributions to network science that changed the scientific understanding of economic behavior, social influence, and mobilization.


    • Yoshiki Kuramoto
      For outstanding contributions to the study of coupled oscillator networks, including pioneering work on the model now known as the Kuramoto model and the discovery of chimera states in network dynamics.


    • Mark E. J. Newman
      For foundational contributions to the mathematics of networks, including community structure, percolation processes, and ​the statistical underpinnings of ​random graph models and power-law distributions in real networks.


    • Steven H. Strogatz
      For seminal work on small-world networks, chimera states, and synchronization phenomena in networks.


    • Alessandro Vespignani
      For seminal work on the statistical physics of complex networks and foundational contributions in network epidemiology, including the realistic modeling of large-scale outbreaks.


    • Duncan J. Watts
      For foundational theoretical and empirical work on small-world networks as well as search and influence in social networks.