Observation The 2017 French presidential election was unconventional - - PowerPoint PPT Presentation

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Observation The 2017 French presidential election was unconventional - - PowerPoint PPT Presentation

E VOLUTION OF COMMUNITIES ON T WITTER DURING THE 2017 F RENCH PRESIDENTIAL ELECTION No e Gaumont, David Chavalarias, Maziyar Panahi Institut des Syst` emes Complexes de Paris IdF & CAMS http://politoscope.org September 2017 N O E G


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SLIDE 1

EVOLUTION OF COMMUNITIES ON TWITTER

DURING THE 2017 FRENCH PRESIDENTIAL ELECTION

No´ e Gaumont, David Chavalarias, Maziyar Panahi

Institut des Syst` emes Complexes de Paris IdF & CAMS http://politoscope.org

September 2017

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E GAUMONT, INSTITUT DES SYSTEMES COMPLEXES DE PARIS ILE-DE-FRANCE - HTTP://ISCPIF.FR;

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SLIDE 2

Observation

  • The 2017 French presidential election was unconventional and

surprising.

  • Twitter is part of the communication strategy of every major

candidates.

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E GAUMONT, INSTITUT DES SYSTEMES COMPLEXES DE PARIS ILE-DE-FRANCE - HTTP://ISCPIF.FR;

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SLIDE 3

Data - collected since June 2016

Following ≈ 3700 accounts of politicals figures with the track and follow Twitter API). le 8 juin 2017 # Tweets : > 60M # Unique user: > 2.4M

T(X,A) @X - #X - 'X' Tweet(Y,B) T(Z,T(X,T(Y,B)) T(Y,T(X,A)) Not followed account : Y followed account : X Not followed account : Z T(X,T(Y,B))

Analysed

(~50% à 80%)

Not collected

T(X,A) : The account X tweets content A

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SLIDE 4

Definition of social communities

Lots of variables :

  • The follower/followee relation
  • The retweet relations
  • The semantic proximity
  • The mentions @
  • The reply links
  • ...

We choose to first analyse the dynamics of communities. The retweet relations is dynamic and is less ambiguous than mentions and replies.

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SLIDE 5

Definition of social communities

Goal : Identification of political communities though the graph of retweets. Louvain + strong link

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SLIDE 6

Communities detection on which time window

From August to December From August to February

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SLIDE 7

Communities detection on which time window

From August to December From August to February

Too short → empty graph Too long → clique-like graph

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SLIDE 8

Retweet time

100000 200000 300000 400000 500000 600000 700000 Monday Tuesday Wednesday Thursday Friday Saturday Sunday Number de retweets

Weekly pattern of retweets

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 5 10 15 20 CDF Retweet time in hours 0.02 0.04 0.06 0.08 0.1 10 20 30 40 50 In days

Retweet time converse cumulative distribution

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SLIDE 9

Retweet time

100000 200000 300000 400000 500000 600000 700000 Monday Tuesday Wednesday Thursday Friday Saturday Sunday Number de retweets

Weekly pattern of retweets

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 5 10 15 20 CDF Retweet time in hours 0.02 0.04 0.06 0.08 0.1 10 20 30 40 50 In days

Retweet time converse cumulative distribution

Two weeks sliding periods for the retweet graphs.

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SLIDE 10

Community Evolution

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SLIDE 11

Community Evolution

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SLIDE 12

Focus on the right primary

Fillon and Jupp´ e lead the first round Fillon won the second run

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SLIDE 13

Focus on the right primary

Fillon and Jupp´ e lead the first round Fillon won the second run

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SLIDE 14

Community as feature for other study

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SLIDE 15

Community as feature for other study

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SLIDE 16

Conclusion

lien vers le papier

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SLIDE 17

THANK YOU FOR YOUR ATTENTION

No´ e Gaumont

noe@ngaumont.fr

Works done with : David Chavalarias, Alexandre Delan¨

  • e,

Jean-Baptiste Leenart, Maziyar Panahi politoscope.org iscpif.fr

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