Examining the limits of predictability of human mobility
We challenge the upper bound of human-mobility predictability that is widely used to
corroborate the accuracy of mobility prediction models. We observe that extensions of …
corroborate the accuracy of mobility prediction models. We observe that extensions of …
Generative models for simulating mobility trajectories
Mobility datasets are fundamental for evaluating algorithms pertaining to geographic
information systems and facilitating experimental reproducibility. But privacy implications …
information systems and facilitating experimental reproducibility. But privacy implications …
Web routineness and limits of predictability: Investigating demographic and behavioral differences using web tracking data
Understanding human activities and movements on the Web is not only important for
computational social scientists but can also offer valuable guidance for the design of online …
computational social scientists but can also offer valuable guidance for the design of online …
Multiplex decomposition of non-Markovian dynamics and the hidden layer reconstruction problem
Elements composing complex systems usually interact in several different ways, and as
such, the interaction architecture is well modeled by a network with multiple layers—a …
such, the interaction architecture is well modeled by a network with multiple layers—a …
Daily human mobility: A reproduction model and insights from the energy concept
Human movements have raised broad attention, and many models have been developed to
reproduce them. However, most studies focus on reproducing the statistical properties of …
reproduce them. However, most studies focus on reproducing the statistical properties of …
Emoticon-based ambivalent expression: A hidden indicator for unusual behaviors in weibo
Recent decades have witnessed online social media being a big-data window for testifying
conventional social theories quantitatively and exploring much detailed human behavioral …
conventional social theories quantitatively and exploring much detailed human behavioral …
Effects of individual popularity on information spreading in complex networks
In real world, human activities often exhibit preferential selection mechanism based on the
popularity of individuals. However, this mechanism is seldom taken into account by previous …
popularity of individuals. However, this mechanism is seldom taken into account by previous …
On the inability of Markov models to capture criticality in human mobility
We examine the non-Markovian nature of human mobility by exposing the inability of Markov
models to capture criticality in human mobility. In particular, the assumed Markovian nature …
models to capture criticality in human mobility. In particular, the assumed Markovian nature …
Simulating two-phase taxi service process by random walk theory
City taxi service systems have been empirically studied by a number of data-driven methods.
However, their underlying mechanisms are hard to understand because the present …
However, their underlying mechanisms are hard to understand because the present …
Uncovering spatiotemporal characteristics of human online behaviors during extreme events
In response to an extreme event, individuals on social media demonstrate interesting
behaviors depending on their backgrounds. By making use of the large-scale datasets of …
behaviors depending on their backgrounds. By making use of the large-scale datasets of …