2k citations · 5.5k across the 53 of their papers we have counts for
25 papers · 1 filter
Far-reaching consequences of trait preferences for animal social network structure and function
Josefine Bohr Brask, Andreas Koher, Darren P. Croft +1
Social network structures play an important role in the lives of animals by affecting individual fitness and the spread of disease and information. Nevertheless, we still lack a go…
The effect of co-location on human communication networks
Daniel Carmody, Martina Mazzarello, Paolo Santi +5
The ability to rewire ties in communication networks is vital for large-scale human cooperation and the spread of new ideas. We show that lack of researcher co-location during the…
The Scales of Human Mobility
Laura Alessandretti, Ulf Aslak, Sune Lehmann
There is a contradiction at the heart of our current understanding of individual and collective mobility patterns. On one hand, a highly influential stream of literature on human m…
Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study
Jonathan F. Donges, Jakob H. Lochner, Niklas H. Kitzmann +4
Spreading dynamics and complex contagion processes on networks are important mechanisms underlying the emergence of critical transitions, tipping points and other nonlinear phenome…
The switching mechanisms of social network densification
Teruyoshi Kobayashi, Mathieu Génois
Densification and sparsification of temporal networks are attributed to two fundamental mechanisms: a change in the population in the system and/or a change in the chances that nod…
Self-interested behaviour as a social norm
Kamilla Haworth Buchter, Bjarke Mønsted, Sune Lehmann
Language can exert a strong influence on human behaviour. In experimental studies, it is for example well-known that the framing of an experiment or priming at the beginning of an…
Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
Jonas L. Juul, Kaare Græsbøll, Lasse Engbo Christiansen +1
Across the world, scholars are racing to predict the spread of the novel coronavirus, COVID-19. Such predictions are often pursued by numerically simulating epidemics with a large…
Fundamental Structures in Dynamic Communication Networks
Sune Lehmann
In this paper I introduce a framework for modeling temporal communication networks and dynamical processes unfolding on such networks. The framework originates from the realization…
The Chaperone Effect in Scientific Publishing
Vedran Sekara, Pierre Deville, Sebastian Ahnert +3
Experience plays a critical role in crafting high impact scientific work. This is particularly evident in top multidisciplinary journals, where a scientist is unlikely to appear as…
Spreading in Social Systems: Reflections
Sune Lehmann, Yong-Yeol Ahn
In this final chapter, we consider the state-of-the-art for spreading in social systems and discuss the future of the field. As part of this reflection, we identify a set of key ch…
Understanding the interplay between social and spatial behaviour
Laura Alessandretti, Sune Lehmann, Andrea Baronchelli
According to personality psychology, personality traits determine many aspects of human behaviour. However, validating this insight in large groups has been challenging so far, due…
Constrained information flows in temporal networks reveal intermittent communities
Ulf Aslak, Martin Rosvall, Sune Lehmann
Many real-world networks represent dynamic systems with interactions that change over time, often in uncoordinated ways and at irregular intervals. For example, university students…
Social Network Differences of Chronotypes Identified from Mobile Phone Data
Talayeh Aledavood, Sune Lehmann, Jari Saramäki
Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the e…
Evidence of Complex Contagion of Information in Social Media: An Experiment Using Twitter Bots
Bjarke Mønsted, Piotr Sapieżyński, Emilio Ferrara +1
It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with mi…
Multi-scale spatio-temporal analysis of human mobility
Laura Alessandretti, Piotr Sapiezynski, Sune Lehmann +1
The recent availability of digital traces generated by phone calls and online logins has significantly increased the scientific understanding of human mobility. Until now, however,…
Evidence for a Conserved Quantity in Human Mobility
Laura Alessandretti, Piotr Sapiezynski, Vedran Sekara +2
Recent seminal works on human mobility have shown that individuals constantly exploit a small set of repeatedly visited locations. A concurrent literature has emphasized the explor…
Vaccination and Complex Social Dynamics
Enys Mones, Arkadiusz Stopczynski, Alex Pentland +2
Vaccination and outbreak monitoring are essential tools for preventing and minimizing outbreaks of infectious diseases. Targeted strategies, where the individuals most important fo…
Physical Proximity and Spreading in Dynamic Social Networks
Arkadiusz Stopczynski, Alex Sandy Pentland, Sune Lehmann
Most infectious diseases spread on a dynamic network of human interactions. Recent studies of social dynamics have provided evidence that spreading patterns may depend strongly on…
Temporal Fidelity in Dynamic Social Networks
Arkadiusz Stopczynski, Piotr Sapiezynski, Alex 'Sandy' Pentland +1
It has recently become possible to record detailed social interactions in large social systems with high resolution. As we study these datasets, human social interactions display p…
On the Digital Daily Cycles of Individuals
Talayeh Aledavood, Sune Lehmann, Jari Saramäki
Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycl…
Fundamental structures of dynamic social networks
Vedran Sekara, Arkadiusz Stopczynski, Sune Lehmann
Social systems are in a constant state of flux with dynamics spanning from minute-by-minute changes to patterns present on the timescale of years. Accurate models of social dynamic…
The Strength of Friendship Ties in Proximity Sensor Data
Vedran Sekara, Sune Lehmann
Understanding how people interact and socialize is important in many contexts from disease control to urban planning. Datasets that capture this specific aspect of human life have…
Robustness and modular structure in networks
James P. Bagrow, Sune Lehmann, Yong-Yeol Ahn
Complex networks have recently attracted much interest due to their prevalence in nature and our daily lives [1, 2]. A critical property of a network is its resilience to random br…
Link communities reveal multiscale complexity in networks
Yong-Yeol Ahn, James P. Bagrow, Sune Lehmann
Networks have become a key approach to understanding systems of interacting objects, unifying the study of diverse phenomena including biological organisms and human society. One c…