Bridging the Gap between Physical Location and Online Social Networks

UbiComp 2010, Sep 26-29, 2010, Copenhagen, Denmark

10 Pages Posted: 13 Nov 2012

See all articles by Justin Cranshaw

Justin Cranshaw

Microsoft Research

Eran Toch

Carnegie Mellon University

Jason I. Hong

Carnegie Mellon University - School of Computer Science

Aniket Kittur

Carnegie Mellon University - School of Computer Science

Norman Sadeh

Carnegie Mellon University - School of Computer Science

Date Written: 2010

Abstract

This paper examines the location traces of 489 users of a location sharing social network for relationships between the users’ mobility patterns and structural properties of their underlying social network. We introduce a novel set of location-based features for analyzing the social context of a geographic region, including location entropy, which measures the diversity of unique visitors of a location. Using these features, we provide a model for predicting friendship between two users by analyzing their location trails. Our model achieves significant gains over simpler models based only on direct properties of the co-location histories, such as the number of co-locations. We also show a positive relationship between the entropy of the locations the user visits and the number of social ties that user has in the network. We discuss how the offline mobility of users can have implications for both researchers and designers of online social networks.

Suggested Citation

Cranshaw, Justin and Toch, Eran and Hong, Jason I. and Kittur, Aniket and Sadeh, Norman, Bridging the Gap between Physical Location and Online Social Networks (2010). UbiComp 2010, Sep 26-29, 2010, Copenhagen, Denmark, Available at SSRN: https://ssrn.com/abstract=2175073

Justin Cranshaw (Contact Author)

Microsoft Research ( email )

Redmond, WA 98052
United States

Eran Toch

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

Jason I. Hong

Carnegie Mellon University - School of Computer Science ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213
United States

Aniket Kittur

Carnegie Mellon University - School of Computer Science ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213
United States

Norman Sadeh

Carnegie Mellon University - School of Computer Science ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
18
Abstract Views
357
PlumX Metrics