No abstract

Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, nonequilibrium social organizations, such as collectives or collaborating teams. It consists of four steps: (i) delimitation, i.e., narrowing down the target systems, (ii) conceptualization, i.e., identifying how to approach social organizations, (iii) formal representation using a combination of agent-based and network models, (iv) operationalization, i.e. specifying measures and demonstrating how they enter the calculation of resilience. Our framework quantifies two dimensions of resilience, the robustness of social organizations and their adaptivity, and combines them in a novel resilience measure. It allows monitoring resilience instantaneously using longitudinal data instead of an ex-post evaluation.

Are offline political relations and endorsements established or maintained with online interactions?We examine the external validity of data on political behavior exhibited online and compare it to offline behavior. We overlay two data sets on political support among members of the Swiss parliament to estimate the explanatory power of online endorsements on offline cosponsorship signatures among members, using a gHypEG network regression model.Whereas offline support behavior is driven by a broad range of factors, such as network and homophily effects, online endorsement is less diverse.Our findings show that online endorsement is predominantly driven by partisanship, calling into question the use of online political behavior data to study real-world politics.

Do politicians carry on their interpersonal relations online? We examine how online political support compares to offline support. We overlay two data sets on political support among members of the Swiss National Council to estimate the explanatory power of online endorsements on offline cosponsorship signatures among members, using a gHypEG network regression model. Whereas offline support behavior is driven by a broad range of factors, such as network and homophily effects, endorsement is less diverse. Our findings show that online endorsement is predominantly driven by partisanship and does not mirror the richness found in offline support behavior. Zusammenfassung Inwiefern führen Politiker:innen ihre zwischenmenschlichen Beziehungen online weiter? Wir untersuchen, wie sich politische Unterstützung online mit offline Unterstützung vergleicht. Hierzu überlagern wir zwei Datensätze über Bekundungen politischen Beistandes zwischen Mitgliedern des Schweizer Nationalrats. Anschliessend schätzen wir die Erklärungskraft, die online Unterstützung über offline Miträgerschaft in der Form von Unterschriften auf politischen Vorstössen (sog. Cosponsorship) hat. Die quantitative Schätzung führen wir mithilfe eines gHypEG Netzwerkregressionsmodels durch. Wobei das Unterstützungsverhalten offline durch