Analysing human mobility patterns of hiking activities through complex network theory

Analysing human mobility patterns of hiking activities through complex network theory

The exploitation of high volume of geolocalized data from social sport tracking applications of outdoor activities can be useful for natural resource planning and to understand the human mobility patterns during leisure activities. This geolocalized data represents the selection of hike activities according to subjective and objective factors such as personal goals, personal abilities, trail co...

The Symbiosis of Human and Semantic Technology Through the Lens of Actor-Network Theory

Background:  Semantic technologies (STs) have made machine reasoning possible by providing intelligent data management methods. This capability has created new forms of interaction between humans and STs, which is called "semantic interaction."  The increasing spread of this form of interaction in daily life reveals the need to identify the factors affecting it and introduce the requirements of...

Analysing and Diagramming Complex Heterogeneous Activities

We increasingly live in heterogeneous ever-changing webs of activities where human actions are intertwined with events created by automatic machines. In order to make such webs understandable to its human participants, their structure should be represented by displays emphasizing their action aspect. The paper suggests thematic roles as a semantics for actions, argues that a selection of well-k...

Analysing Human Movement Patterns Second edition

Periodic patterns in human mobility

The recent rise of services and networks that rely on human mobility has prompted the need for tools that detect our patterns of visits to locations and encounters with other individuals. The widespread popularity of locationand encounter-aware mobile phones has given us a wealth of empirical mobility data and enabled many novel applications that benefit from automated detection of an individua...