Inferring friendship network structure by using mobile phone data

@article{Eagle2009InferringFN,
  title={Inferring friendship network structure by using mobile phone data},
  author={Nathan Eagle and Alex 'Sandy' Pentland and David Lazer},
  journal={Proceedings of the National Academy of Sciences},
  year={2009},
  volume={106},
  pages={15274 - 15278}
}
Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standard self-report survey data. We find that the information from these two data sources is overlapping but distinct. For example, self-reports of physical proximity deviate from mobile phone records depending on the recency and salience of the interactions. We also demonstrate that it is possible to accurately… 

Figures and Tables from this paper

Distant friends, close strangers? Inferring friendships from behavior

  • J. Adams
  • Psychology
    Proceedings of the National Academy of Sciences
  • 2010
TLDR
Eagle et al. (1) make an important contribution to this literature by using mobile phone data to infer friendship network structure, as a method overcoming some of these limitations in self-report data.

Offline Behaviors of Online Friends

TLDR
This study attempts to reconstruct the Facebook friendship graph, Facebook interaction network, as well as call and SMS networks from longitudinal records of person-to-person offline proximity, and shows that the signal of friendship is strong enough to stand out from the noise of random and schedule-driven offline interactions between familiar strangers.

Prediction of Social Ties Based on Bluetooth Proximity Time Series Data

TLDR
This research work uses proximity data taken from the Bluetooth detection of mobile devices to show that from the analysis of physical proximity, social relationships can be accurately inferred considering time and order of encounters and substantiates the claim that it is able to infer social structure with high accuracy exploiting proximity clues.

Close Relationships: A Study of Mobile Communication Records

TLDR
This work introduces a control parameter pmax based on the statistics of communication with the first and second “ best friend” and uses it to filter the data and finds that when pmax is decreased the identification of the “best friend’ becomes less ambiguous and the earlier observed effects get stronger, thus corroborating them.

Collecting Social Network Data from Mobile Phone SIM Cards

TLDR
I used a subscriber identity module card reader to copy the lists of saved contacts from 170 mobile phones in Fiji, finding that copying phone contacts avoids recall biases associated with survey-based name generators and obviates the need to obtain calling records from network service providers.

Weaving the Web into Personal Communication Networks: A Mobile Phone Based Study of Smartphone Users

TLDR
Descriptive analysis of data collected from an Android smartphone application that records e-mail, phone, and SMS log events, and responses to an onscreen survey inquiring about social media use and supportive exchange with particular contacts shows that users generally overestimate the frequency of mediated communication in self-report.

Exploring the potential of phone call data to characterize the relationship between social network and travel behavior

TLDR
The paper analyzes the nature of co-location events and frequent locations shared by social network contacts, aiming not only to provide understanding on why users share certain locations, but also to quantify the degree in which the different types of locations are shared.

Interaction data from the Copenhagen Networks Study

TLDR
This work describes the multi-layer temporal network which connects a population of more than 700 university students over a period of four weeks, and expects that reuse of this dataset will allow researchers to make progress on the analysis and modeling of human social networks.

On Temporal Regularity in Social Interactions: Predicting Mobile Phone Calls

TLDR
The results show that users' historic calling patterns can predict future calls with reasonable accuracy, and an anonymized mobile phone usage dataset collected specifically for analyzing temporal patterns in mobile phone communication is tested.
...

References

SHOWING 1-10 OF 21 REFERENCES

Structure and tie strengths in mobile communication networks

TLDR
It is found that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective, and this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities.

Informant Accuracy in Social Network Data

This paper examines the problem of informant accuracy in the production of social network data, through the use of a self-monitoring network. This allows a comparison between cognitive network data

INFORMANT ACCURACY IN SOCIAL NETWORK DATA II

TLDR
The conclusion again appears that people do not know, with any accuracy, those with whom they communicate.

NETWORK DATA AND MEASUREMENT

TLDR
Continued research on data quality is needed; beyond improved samples and further investigation of the informant accuracy/reliability issue, this should cover common indices of network structure, address the consequences of sampling portions of a network, and examine the robustness of indicators ofnetwork structure and position to both random and nonrandom errors of measurement.

Reality mining: sensing complex social systems

TLDR
The ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms is demonstrated.

Empirical Analysis of an Evolving Social Network

TLDR
This work analyzed a dynamic social network comprising 43,553 students, faculty, and staff at a large university, in which interactions between individuals are inferred from time-stamped e-mail headers recorded over one academic year and are matched with affiliations and attributes.

Social Network Analysis: Methods and Applications

TLDR
This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of dyadic and triadic interaction models, which provide insights into the structure and dynamics of relationships between actors and groups.

Filling in the Blanks: A Theory of Cognitive Categories and the Structure of Social Affiliation

This paper shows that people are aware of who is affiliated with whom in their immediate social world. Their perceptions of the patterning oh affiliation, however, do not correspond to the patterning

Assessing the political landscape: Structure, cognition, and power in organizations.

David Krackhardt Comell University This paper argues that an accurate cognition of informal networks can itself be a base of power, above and beyond power attributable to informal and formal

Scale-free topology of e-mail networks.

TLDR
The resulting network exhibits a scale-free link distribution and pronounced small-world behavior, as observed in other social networks, implying that the spreading of e-mail viruses is greatly facilitated in real e- mail networks compared to random architectures.