Download - Sádovská, P: Real-Time Monitoring of the Movement of Young People Using the Location-Based Social Network

This presentation is co-financed by the European Social Fund and the state budget of the Czech Republic

Real-Time Monitoring of the Movement of Young People Using the Location-Based

Social Network

Petra SÁDOVSKÁ

First InDOG Doctoral Conference, 29th October - 1st November 2012, Olomouc

Program

Location-Based Services Location-Based Social Network Mobile Social Network Foursquare Data Collection Results


Location-Based Service

Location-Based Service (LBS) is a software application for a mobile device that requires knowledge about where the mobile device is located

LBS employs accurate, real-time positioning to connect users to points of interest


Location-Based Service

LBS are included in services to identify a location of a person or object, such as

discovering the nearest banking cash machine or the whereabouts of a friend or employee

parcel tracking and vehicle tracking services advertising directed at customers based on their current

location weather services location-based games


Social Networks

Social structure made up of individuals/organizations connected by one or more specific types of interdependency, such as friendship, common interests, and shared knowledge


Location-Based Social Network

Adding a location to an existing social network so that people in the social structure can share location-embedded information

New social structure made up of individuals connected by the interdependency derived from their locations in the physical world as well as their location-tagged media content, such as photos, video, and texts


Mobile Social Network

Social network where users can connect with another one through their mobile phone and/or tablet

The increasing availability of open smartphone platforms such as Apple iPhones and Google Android phones caused that mobile device users use mobile applications to share their current location with their friends via Location-Based Social Networks (LBSN)

The process of sharing current location has became known as “checking - in”

Check –in can be gained in one of two ways: via an SMS text message,- manualy via mobile application - automatically determine a user’s current

location by leveraging the power of a number of location determination technologies


Mobile Social Network

Dodgeball (2005 - 2009) one of the first LSBN SMS to check-in in 2009 was discontinued, replacing with Google Latitude

Brightkite (2005 - 2009) SMS or E-mail to check-in Connect users with their existing friends and also meet new people based on the

places that they go In April 2009 Brightkite was acquired by mobile social network Limbo

Gowalla (2007 – 2012) Check-in via mobil aplication in „Spots“ Users got virtual items, which could change to another with other users Users could add new Spots or Trips

Google Latitude (2009) To shere location with friends No check-in History of movement in 30 days


Foursquare To share location information about our location with

friends To recommendate which places (venues) to visited Virtual points for each check-in Virtual badge for certain number of points User with the highest number of check-ins in the last 60

days becomes mayor of places People can also create new venues to check-in Users choose automatically push their check-in messages to

Twitter, which provides a public API to search and download these messages


Foursquare

Foursquare website gives opportunity to see history of check-in

Data in rss and kml format History data includes name of venue, time and date of

check-in, coordinates and website of venue Link the history of check-ins with Google Calendar


Data collectionUser F/M Age Employment

Number of check-in

U 1 F 25 student 43

U 2 F 26 student 24

U 3 M 35 IT 34

U 4 M 40 web designer 6

U 5 M 18 student 54

U 6 M 22 unemployed 3

U 7 M 38 self employed 27

U 8 M 24 student 35

U 9 M 19 student 26

U 10 M 25 student 3

U 11 F 22 student 31

U 12 M 21 student 34

U 13 M 21 industrial worker 21

U 14 M 32 designer 1

U 15 F 26 software analyst 63

U 16 M 26 web designer 22


U 18 M 21 student 3


Total 4F/15M 464

19 users from the Olomouc City 4 women 15 mens Age-range 19-40 years 11 students

464 check-ins from the Olomouc City (total 795 check-ins)


789 venues in Olomouc City


Number of all check-ins during the whole day

0

10

20

30

40

50

60

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

hour

cou

nt


Check-ins

44 - Railway Station 25 - Faculty of Science UP 22 - Department of Geoinformatics UP 19 - Dormitory 16 - Tesco Software 15 - Olomouc Norská


Foursquare categories

Accommodation (hotel, hostel, dormitory) Bar/pub Cafe Cinema Education (high school, university, library) Food (Restaurant, Fast Food, Pizza) Medical (hospital, dentist, veterinarinarians, pharmacy) Office Other building (church, administrative building, post office) Park Shop Sport (stadyum, gym, playground, bowling, pool) Town district (square, street) Transportation (bus station, railway station, bus/tram stop)


Number of check-ins in shops during the whole day

0

1

2

3

4

5

6

7

8

9

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

hour

cou

nt


Number of check-ins in food facilities during the whole day

0

1

2

3

4

5

6

7

8

9

10

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

hour

cou

nt


Number of check-ins in bars or pubs during the whole day

0

2

4

6

8

10

12

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

hour

cou

nt


User 15


Problems

Check-ins coordinates are coordinates of the place, where the user checked-in, not coordinates of venue

GPS accuracy


Problem

For 1 building/place can be more venues 1 shop center includes more small shops 1 university includes more departmens

More name for 1 venue, e.g. Railway Station Olomouc (Železniční stanice Olomouc-Hlavní nádraží, Hlavní nádraží, Olomouc Hlavní nádraží, ČD Centrum)


Summary

In today´s world, wireless mobile communication devices are creating new dimension of interconnectedness between people, places, and urban infrastructure

Mobile social network could help to better understand human dynamics, motion and urban life in real-time


Real-Time Monitoring of the Movement of Young People Using the Location-Based Social Network

Petra SÁDOVSKÁ[email protected]