Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

Cluster analysis finds groups in data automatically. Most methods have been heuristic and
leave open such central questions as: how many clusters are there? Which method should I …

Smart contracts are decentrally anchored scripts on blockchains or similar infrastructures
that allow the transparent execution of predefined processes. Using smart contracts …

Global sustainability governance is marked by a highly fragmented system of distinct
clusters of international organizations, along with states and other actors. Enhancing inter …

The dark side of customer behavior has been receiving increasing attention in the business
and management literature in recent years. Scholars have used various terminologies to …

Blockchain technology provides an immutable ledger for secure value transactions in a
network. This base layer technology has the potential to boost the efficiency of various …

The COVID-19 pandemic has caused dramatic changes on a global scale. According to the
United Nations World Tourism Organization (2020), the restricted movement that has arisen …