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Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential Election as a case study
Physics and Society · Submitted 19 Sep 2013
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results.
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The abstract, sentence by sentence
Transmitting messages in the most efficient way as possible has always been one of politicians main concerns during electoral processes. Due to the rapidly growing number of users, online social networks have become ideal platforms for politicians to interact with their potential voters. Exploiting the available potential of these tools to maximize their influence over voters is one of politicians actual challenges. To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results. We introduce a new measure to study political support in Twitter, which we call the Relative Support. We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. Our results suggest that the collective attention is driven by a very small fraction of users. Furthermore we have analyzed the interactions taking place among politicians, observing a lack of debate. Finally we develop a network growth model to reproduce the interactions taking place among politicians.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Transmitting messages in the most efficient way as possible has always been one of politicians main concerns during electoral processes. | background 1.00 | 0.03 | 0.02 | asserted 1.00 |
| s1 | Due to the rapidly growing number of users, online social networks have become ideal platforms for politicians to interact with their potential voters. | background 1.00 | 0.04 | 0.02 | asserted 1.00 |
| s2 | Exploiting the available potential of these tools to maximize their influence over voters is one of politicians actual challenges. | background 0.97 | 0.04 | 0.03 | asserted 1.00 |
| s3 | To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results. | result 0.55 | 0.98 | 0.66 | asserted 1.00 |
| s4 | We introduce a new measure to study political support in Twitter, which we call the Relative Support. | contribution 0.88 | 0.97 | 0.06 | asserted 1.00 |
| s5 | We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. | method 0.88 | 0.95 | 0.05 | asserted 0.94 |
| s6 | Our results suggest that the collective attention is driven by a very small fraction of users. | result 0.94 | 0.93 | 0.19 | hedged possibility 0.99 |
| s7 | Furthermore we have analyzed the interactions taking place among politicians, observing a lack of debate. | result 0.96 | 0.93 | 0.05 | asserted 1.00 |
| s8 | Finally we develop a network growth model to reproduce the interactions taking place among politicians. | contribution 0.54 | 0.96 | 0.07 | asserted 0.98 |
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The paper
Original abstract
Transmitting messages in the most efficient way as possible has always been one of politicians main concerns during electoral processes. Due to the rapidly growing number of users, online social networks have become ideal platforms for politicians to interact with their potential voters. Exploiting the available potential of these tools to maximize their influence over voters is one of politicians actual challenges. To step in this direction, we have analyzed the user activity in the online social network Twitter, during the 2011 Spanish Presidential electoral process, and found that such activity is correlated with the election results. We introduce a new measure to study political support in Twitter, which we call the Relative Support. We have also characterized user behavior by analyzing the structural and dynamical patterns of the complex networks emergent from the mention and retweet networks. Our results suggest that the collective attention is driven by a very small fraction of users. Furthermore we have analyzed the interactions taking place among politicians, observing a lack of debate. Finally we develop a network growth model to reproduce the interactions taking place among politicians.
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