Cikm2011 doallbirdstweetthesame
18
Do All Birds Tweet the Same? Characterizing Twitter around the World Barbara Poblete, Ruth García , Marcelo Mendoza and Alejandro Jaimes University of Chile, Yahoo! Research Barcelona Universitat Pompeu de Fabra, Universidad Federico Santa Maria October 26, 2011, Glasgow, CIKM
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Transcript of Cikm2011 doallbirdstweetthesame
Do All Birds Tweet the Same?Characterizing Twitter around the World
Barbara Poblete, Ruth García, Marcelo Mendoza and Alejandro Jaimes
University of Chile, Yahoo! Research BarcelonaUniversitat Pompeu de Fabra, Universidad Federico
Santa Maria
October 26, 2011,Glasgow, CIKM
Objective
Identify differences and similarities in the use of social media by analyzing tweets and
network of friends in different countries.
What we did
Data: analysis of one year of Tweets for 10 most active countries
Content: languages, sentiment, structure (retweets, hashtags,..)
Structure: network (modularity, average path length, reciprocity, connectivity)
Crawling Strategy
12,964,735 active users -> 6,263,457 with valid location
4,736, 629 users belonging to 10 most active countries.
5,270,609,213 tweets during 2010
.
United StatesBrazil
United KingdomJapan
IndonesiaCanadaMéxico
NetherlandsSouth Korea
Australia
0.00
%
10.0
0%
20.0
0%
30.0
0%
40.0
0%
50.0
0%
TWEETS(%)USERS(%)
Engagement
Indonesia Japan Brazil
Netherlands UK US
Australia Mexico
South Korea Canada
0 200 400 600 800 100012001400160018002000
(Tweets/User)
Languages
English Portuguese Japanese Spanish Dutch German Indonesian and Malay
Korean0
200,000,000
400,000,000
600,000,000
800,000,000
1,000,000,000
1,200,000,000
1,400,000,000
1,600,000,000
1,800,000,000
Netherlands >10%,Indonesia >10%,Mexico >10%,South Korea >10%
How do Tweets differ in function?
Macro average
Country (Tweets/User) URL (%) Hashtag (%) Mention(%) Retweet(%)
Indonesia 1813.53 14.95 7.63 58.24 9.71
Japan 1617.35 16.30 6.81 39.14 5.65
Brazil 1370.27 19.23 13.41 45.57 12.80
Netherlands 1026.44 24.40 18.24 42.33 9.12
UK 930.58 27.11 13.03 45.61 11.65
US 900.79 32.64 14.32 40.03 11.78
Australia 897.41 31.37 14.89 43.27 11.73
Mexico 865.70 17.49 12.38 49.79 12.61
South Korea 853.92 19.67 5.83 58.02 9.02
Canada 806.00 31.09 14.68 42.50 12.50
How do Tweets differ in function?
Macro average
Country (Tweets/User) URL (%) Hashtag (%) Mention(%) Retweet(%)
Indonesia 1813.53 14.95 7.63 58.24 9.71
Japan 1617.35 16.30 6.81 39.14 5.65
Brazil 1370.27 19.23 13.41 45.57 12.80
Netherlands 1026.44 24.40 18.24 42.33 9.12
UK 930.58 27.11 13.03 45.61 11.65
US 900.79 32.64 14.32 40.03 11.78
Australia 897.41 31.37 14.89 43.27 11.73
Mexico 865.70 17.49 12.38 49.79 12.61
South Korea 853.92 19.67 5.83 58.02 9.02
Canada 806.00 31.09 14.68 42.50 12.50
How do Tweets differ in function?
Macro average
Country (Tweets/User) URL (%) Hashtag (%) Mention(%) Retweet(%)
Indonesia 1813.53 14.95 7.63 58.24 9.71
Japan 1617.35 16.30 6.81 39.14 5.65
Brazil 1370.27 19.23 13.41 45.57 12.80
Netherlands 1026.44 24.40 18.24 42.33 9.12
UK 930.58 27.11 13.03 45.61 11.65
US 900.79 32.64 14.32 40.03 11.78
Australia 897.41 31.37 14.89 43.27 11.73
Mexico 865.70 17.49 12.38 49.79 12.61
South Korea 853.92 19.67 5.83 58.02 9.02
Canada 806.00 31.09 14.68 42.50 12.50
Happiness Level
ENGLISH TWEETS SPANISH TWEETS
01 02 03 04 05 06 07 08 09 10 11 125
5.2
5.4
5.6
5.8
6
6.2
6.4
6.6
6.8
7
AustraliaBrazilCanadaIndonesiaJapanMexicoNether-landsSouth Ko-reaUKUSA
01 02 03 04 05 06 07 08 09 10 11 125
5.2
5.4
5.6
5.8
6
6.2
6.4
6.6
6.8
7
Dodds et al. “Temporal patters of happiness and information in a global social network: Hedonometrics and Twitter”, 2011
Network
Coverage with regard to the initial complete graphActive nodesEdges within the same location
Modularity
13.49 17.22 17.27 18.91 22.11 23.51 26.11 26.79 28.14 32.01 (%)
06:02 AM
Connectivity
Connectivity
Connectivity
Conclusions
Some use Twitter more for conversation and others for formal information dissemination (links of news, pics, etc).
Higher conversational level seems to be related to more happy tweets (less formality?).
Twitter networks seems to be less reciprocal and more hierarchical
Smaller networks tend to have more reciprocity
High reciprocity seems to lead to more activity per user
Reciprocity does not mean more connectivity: Indonesia has reciprocity in small communities with low connectivity among them
THANK [email protected]
