Understanding the interplay between social and spatial behaviour

@article{Alessandretti2018UnderstandingTI,
  title={Understanding the interplay between social and spatial behaviour},
  author={Laura Alessandretti and Sune Lehmann and Andrea Baronchelli},
  journal={EPJ Data Science},
  year={2018},
  volume={7},
  pages={1-17}
}
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 to the scarcity of multi-channel data. Here, we focus on the relationship between mobility and social behaviour by analysing trajectories and mobile phone interactions of ∼1000 individuals from two high-resolution longitudinal datasets. We identify a connection between the way in which individuals explore new… 
View on Springer
[PDF] Semantic Reader
25 Citations
Background Citations
6

25 Citations

Big Five personality traits predict daily spatial behavior: Evidence from smartphone data

Strategies and limitations in app usage and human mobility

It is shown that the capacity of applications predicts mobility capacity and vice-versa and the behaviour of keepers and explorers may considerably vary across the two domains, which provides an intriguing picture linking human behaviour in the physical and digital worlds.

Individual differences in adolescent and young adult daily mobility patterns and their relationships to big five personality traits: a behavioral genetic analysis.

Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds

It is shown that the capacity of applications predicts mobility capacity and vice-versa and the behaviour of keepers and explorers may considerably vary across the two domains, which provides an intriguing picture linking human behaviour in the physical and digital worlds.

Identifying relationships between personal social networks and spatial mobility: A study using smartphone tracing and related surveys

Does the returners and explorers dichotomy in urban human mobility depend on the observation duration? An empirical study in Guangzhou, China

Predicting personality from patterns of behavior collected with smartphones

Cross-validated results reveal that specific patterns in behaviors in the domains of 1) communication and social behavior, 2) music consumption, 3) app usage, 4) mobility, 5) overall phone activity, and 6) day- and night-time activity are distinctively predictive of the Big Five personality traits.

On the Dual Nature of Adoption Processes in Complex Networks

This work proposes to look at adoption processes in socio-technological systems as two complementary aspects of the same adoption process: on the one hand, items spreading over a social network of individuals influencing each other, and on the other hand, individuals explore a network of similarities among items to adopt.

The Topodiverse City: Urban Form for Subjective Well-Being

Research is now better than ever able to unveil how urban inhabitants’ movement, behavior and experiences relate to the urban forms in which they take place. Consequently, urban form might…

Integration in emerging social networks explains academic failure and success

It is demonstrated how the dynamic social networks that informally evolve between students can affect their academic performance and underline the importance of understanding social network dynamics in educational settings.

References

SHOWING 1-10 OF 108 REFERENCES

Personality traits and ego-network dynamics

This study focuses on how personality traits of individuals affect this picture, using mobile phone calls records and survey data from the Mobile Territorial Lab (MTL) study, and shows that personality traits clearly affect the ways in which individuals maintain their personal networks.

Personality and location-based social networks

Correlations between human mobility and social interaction reveal general activity patterns

This work analyzes the interplay between different activity types, namely communication, motion, and physical proximity by analyzing data collected from smartphones distributed among 638 individuals to suggest that a simple linear description might be sufficient to explain a wide range of actions.

Human mobility, social ties, and link prediction

It is shown that mobility measures alone yield surprising predictive power, comparable to traditional network-based measures, and the prediction accuracy can be significantly improved by learning a supervised classifier based on combined mobility and network measures.

Relationships and the social brain: integrating psychological and evolutionary perspectives.

This paper draws on both social and evolutionary psychology to argue that relationships at different layers serve different functions and have different cost-benefit profiles, and suggests that these trade-offs are related to the level of trust in a relationship, and that this is itself a function of the time invested in the relationship.

Coupling human mobility and social ties

It is found that the composition of a user's ego network in terms of the type of contacts they keep is correlated with mobility behaviour, and a popular mobility model is extended to include movement choices based on social contacts and compared with two additional models of mobility.

Returners and explorers dichotomy in human mobility

It is shown that returners and explorers play a distinct quantifiable role in spreading phenomena and that a correlation exists between their mobility patterns and social interactions.

Persistence of social signatures in human communication

A unique 18-mo dataset that combines mobile phone calls and survey data to track changes in the ego networks and communication patterns of students making the transition from school to university or work reveals that individuals display a distinctive and robust social signature, captured by how interactions are distributed across different alters.

When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour

Abstract Many studies model the effects of the built environment on travel behaviour. Usually, results are controlled for socio‐economic differences and sometimes socio‐psychological differences…

Psychological Aspects of Social Communities

This work aims at identifying how individual differences in psychological traits affect the community structure of social networks by confronting the personality traits of the subjects to metrics obtained after applying the C3 community detection algorithm to the social neighborhood of the Subjects.
...