***** To join INSNA, visit http://www.insna.org ***** Dear SocNet readers, we would like to draw your attention to our call for papers for a session on “Agent-based models: Linking complex social phenomena to social network dynamics” at next EUSN Conference, 9-12 September, 2019 in Zurich, Switzerland. https://urldefense.proofpoint.com/v2/url?u=https-3A__www.eusn2019.ethz.ch_-3Fpage-5Fid-3D182&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=C5DZrjTsoGJ3tPb9l9eTzb4Q2EdnWuxzLIcyhN64-qg&s=Fahgm0IMCEh6Vu5n1mL7ZqDhwvsdouybGl7aLsxvQWg&e= Session organizers: Andreas Flache (University of Groningen, The Netherlands); Federico Bianchi (University of Brescia, Italy); Károly Takács (Hungarian Academy of Sciences, Hungary). Computational agent-based modelling (ABM) has established itself as an approach to elaborate and analyze the complex interplay between micro-behavior and macro-structure that occurs in the emergence of social networks from individual relational decisions. ABM construes agents as autonomous, yet interdependent decision makers, driven by rules that span from simple heuristics to more or less sophisticated boundedly rational decision making or cognitive processes. Increasingly, the ABM literature addresses the dynamics of social networks as crucial elements in processes that bring about complex macro-level phenomena like opinion polarization, social and residential segregation, cooperation and conflict in organizations, gossip and reputation structures, social inequality, or status dynamics. Papers are invited that propose explanations of complex macro-level phenomena in terms of ABMs linking macro-outcomes with social network dynamics. Particularly – but not exclusively — welcome are contributions bridging theoretical ABM, empirical data and statistical models of network-generating processes (e.g., ERGM, SAOM). Please submit your abstract (not exceeding 500 words) for an oral presentation. Deadline: 12 April, 2019 Submission link: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.eusn2019.ethz.ch_-3Fpage-5Fid-3D173&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=C5DZrjTsoGJ3tPb9l9eTzb4Q2EdnWuxzLIcyhN64-qg&s=O1XN8IlZB-pwX9aJVgttyXHrL0P0xzlqOjOIO37OyNo&e= <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.eusn2019.ethz.ch_-3Fpage-5Fid-3D173&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=C5DZrjTsoGJ3tPb9l9eTzb4Q2EdnWuxzLIcyhN64-qg&s=O1XN8IlZB-pwX9aJVgttyXHrL0P0xzlqOjOIO37OyNo&e=> We look forward to your submissions! Andreas Flache Federico Bianchi Károly Takács _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.