broege - social networks
TRANSCRIPT
Social Networks and the Useof Mobile Phones IN NEW ZEALAND, GERMANY, AND THE UNITED STATES
Stephanie Broege <[email protected]>Department of Film, Media & Communication, U of Otago
INTERNATIONAL CONFERENCE ON COMPUTER MEDIATED SOCIAL NETWORKING, ICCMSN 2008
NZ – mobile subscriber growth
0
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
4500000
5000000
1 2 3 4 5 6 72003 2004 2005 2006 2007 2008 2009
11 %
16 %
17 %
8 %
12 % 3 % 2 %
Source: 2008 New Zealand - Mobile & Broadband Overview & Analysis Reporthttp://www.chinaccm.com 2007-12-12 12:19
overview
• Perpetual contact
• Permanent availability
• How about going without a phone for 48h?
• Nomophobia & disconnect anxiety
• We suffer without communication
overview 2
• Exploiting the (memory) space
• Social success linked to phone book entries
• Increased selectivity in choosing friends
• Maintaining large networks increases social support from
members.
• “(mobile phone users) choose the person who most closely
satisfies their preference at any given moment.” (Puro,
2002:124)
the research project 2006
multi-method comparative approach
Multi-Method
Comparative
Quantitative Mobile MediaSurvey Online and Offline
New Media Survey
Qualitative Focusgroup Interviews Person-Person Interv/s
Qualitative& Quant. Mobile Social Networks
New Zealand Quantitative Qualitative
USA Quantitative
Germany Quantitative Qualitative
sample 2006
• Quantitative data: P&P survey, N=418 students in New Zealand, the US, and Germany
• Qualitative data: collected from 4 focus group interviews (N=33), mobile network exercise (N=16)
• Age: Ø 22 years (min=18, max=28)
dimensions of findings
1. Preferred medium to communicate
2. Text Messaging
3. Attitude towards text messaging
4. Gender-specific social networking
medium for contacting friends (in %)
77
510
3 4
19
3034
5 65
68
13 128
0
10
20
30
40
50
60
70
80
90
TextMessaging
Cell Phone Landline Email InstantMessaging
New Zealand Germany USAN=170 N=160 N=88
text messaging
I believe it may be rather hard to be a student at
Otago today without a cell phone as most social
relationships are maintained via cell phones not only
with friends but also for group work and last minute
changes to meeting times and places.
(Claudine, University of Otago)
“
”
SMS sent and received per average month
575
241
54
459
265
40
647
220
61
0 100 200 300 400 500 600 700
OtagoUniversity
New York CityUniversity
LeipzigUniversity
female
male
total
(N=143)
(N=146)
(N=60)
text messaging
3.95
3.7
3
4.2
3.9
3.6
0 1 2 3 4 5
Otago University
New York CityUniversity
LeipzigUniversity
female
male
I strongly disagree <<<<< neutral >>>>> I strongly agree
(N=147)
(N=75)
(N=155)
Ø attitude towards cell phone use
number of cell phone contacts
Number of contacts in cell phone vs. no. of contacts in use
115
75
86
90
97
97
24
15
16
15
1815
Otago University
New York CityUniversity
Leipzig University
female
male
female
male
17%19%
21%18%
20%
15%
GER
USA
NZ
Run No. Gender
Friend (in town, on campus)
Friend (in home
town, OE)
Family (close family)
Network Assignment of <insert Name>
Part 1
Person
network exercise
CODING SCHEME
Description Code Number Label
Nr insert running number for mobile contact, ie. 1,2,3,4,5, ... (dont type in the mobile phone number)
Gender 1 male(gender of holder of mobile number) 2 female
3 organization (numbers like, video store, movie theatre, ticket hotline, etc.)
Person 1 Friend (on campus, in town)(who is the holder of mobile number) 0 1-yes, 0-no
1 Friend (in home town, abroad etc.)0 1-yes, 0-no1 Family (close family)0 1-yes, 0-no1 Relative0 1-yes, 0-no1 Classmate0 1-yes, 0-no1 Flatmate (or mate from hall, etc.)0 1-yes, 0-no1 Organization (numbers like, video store, movie theatre, ticket hotline, etc.)0 1-yes, 0-noPart 2: Social Network Drawing
Part 1: Characteristics of Phone Book Entry
Connection to family and friend network Text preferred
Landline & Email use in addition to MP
Active versus passiv ties
Location of network
Network structure
mobile social relationships
example of female social network
example of female social network
2 20
19 5
16 412
3
1 Brett 1310
11 14 186
Organisation 17 15male 7female 9self
8
example of male social network
conclusions
I just text peoplerandom stuff, if I am bored. Just say something really weird, which has no relevance to anything. Just ‘cause it doesn’t really cost you anything, well it does but you got about 500 [text messages] or so.
(Female Student, Otago)
“
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