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Dynamical Classes of Collective Attention in Twitter [article]

Janette Lehmann, Bruno Gonçalves, José J. Ramasco, Ciro Cattuto
2012 arXiv   pre-print
Here we focus on spikes of collective attention in Twitter, and specifically on peaks in the popularity of hashtags.  ...  We link these dynamical classes to the events the hashtags represent and use text mining techniques to provide a semantic characterization of the hastag classes.  ...  JJR acknowledges support from the JAE program of the CSIC and from the Spanish Ministry of Science (MICINN) through the project MODASS (FIS2011-24785).  ... 
arXiv:1111.1896v2 fatcat:w4mjh7gf6zghdophnrov2rawue

Dynamical classes of collective attention in twitter

Janette Lehmann, Bruno Gonçalves, José J. Ramasco, Ciro Cattuto
2012 Proceedings of the 21st international conference on World Wide Web - WWW '12  
Here we focus on spikes of collective attention in Twitter, and specifically on peaks in the popularity of hashtags.  ...  We link these dynamical classes to the events the hashtags represent and use text mining techniques to provide a semantic characterization of the hashtag classes.  ...  In Section 4 we identify dynamical classes of hashtag usage and relate them to the semantics of the corresponding tweets.  ... 
doi:10.1145/2187836.2187871 dblp:conf/www/LehmannGRC12 fatcat:6ywauhfowzcapf2xysfzidfwv4

Credibility and Dynamics of Collective Attention [article]

Tanushree Mitra, Graham Wright, Eric Gilbert
2016 arXiv   pre-print
Here we ask: How do the dynamics of collective attention directed toward an event reported on social media vary with its perceived credibility?  ...  In other words, as more people showed interest during moments of transient collective attention, the associated uncertainty surrounding these events also increased.  ...  Another parallel study focusing on spikes of collective attention in Twitter, analyzed the popularity peaks of Twitter hashtags [23] .  ... 
arXiv:1612.08440v1 fatcat:a2dd6pstzjbevmhd3mrvpyavb4

Credibility and the Dynamics of Collective Attention

Tanushree Mitra, Graham Wright, Eric Gilbert
2017 Proceedings of the ACM on Human-Computer Interaction  
Here we ask: How do the dynamics of collective attention directed toward an event reported on social media vary with its perceived credibility?  ...  In other words, as more people showed interest during moments of transient collective attention, the associated uncertainty surrounding these events also increased.  ...  Another parallel study focusing on spikes of collective attention in Twitter, analyzed the popularity peaks of Twitter hashtags [24] .  ... 
doi:10.1145/3134715 fatcat:aqtl2dnnivbtfn55lw4gtyjkt4

A Dynamical Model of Twitter Activity Profiles

Hoai Nguyen Huynh, Erika Fille Legara, Christopher Monterola
2015 Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT '15  
We look into Twitter to understand the dynamics behind the users' posting activities---tweets and retweets---zooming in on topics that peaked in popularity.  ...  Furthermore, we introduce an alternative in classifying the collective activities on the socio-technical system based on the model.  ...  Particularly, we investigate the observations described in [14] on the dynamical classes of collective attention in Twitter where they defined four groups depending on the temporal features of their  ... 
doi:10.1145/2700171.2791029 dblp:conf/ht/HuynhLM15 fatcat:2xmxwbpqbjgjtmhf3aiwkag3s4

Contagion dynamics of extremist propaganda in social networks [article]

Emilio Ferrara
2017 arXiv   pre-print
Recent terrorist attacks carried out on behalf of ISIS on American and European soil by lone wolf attackers or sleeper cells remind us of the importance of understanding the dynamics of radicalization  ...  In this paper, we shed light on the social media activity of a group of twenty-five thousand users whose association with ISIS online radical propaganda has been manually verified.  ...  Government had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The U.S.  ... 
arXiv:1701.08170v2 fatcat:csqjwrvqtjgwfdgolxhrokeqsi

Mining and comparing engagement dynamics across multiple social media platforms

Matthew Rowe, Harith Alani
2014 Proceedings of the 2014 ACM conference on Web science - WebSci '14  
In this paper we define a common framework of engagement analysis and examine and compare engagement dynamics across five social media platforms: Facebook, Twitter, Boards.ie, Stack Overflow and the SAP  ...  To date, many pieces of work have examined engagement dynamics in isolated platforms with little consideration or assessment of how these dynamics might vary between disparate social media systems.  ...  The role of topics in attention generation were also investigated.  ... 
doi:10.1145/2615569.2615677 dblp:conf/websci/RoweA14 fatcat:qhhbxpheyzagfnddxjo2w44uv4

Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties

Young-Ho Eom, Michelangelo Puliga, Jasmina Smailović, Igor Mozetič, Guido Caldarelli, Matjaz Perc
2015 PLoS ONE  
Our study identifies the statistical nature of collective attention to political issues and sheds light on how to model the dynamics of collective attention in social media.  ...  In this paper we consider the number of tweets (tweet volume) of a party as a proxy of collective attention to the party, identify the dynamics of the volume, and show that this quantity has some information  ...  the "noise" in the dynamics of collective attention in social media.  ... 
doi:10.1371/journal.pone.0131184 pmid:26161795 pmcid:PMC4498694 fatcat:3ulpndwumrgprg3mppiwyxpzju

Evolution of online user behavior during a social upheaval

Onur Varol, Emilio Ferrara, Christine L. Ogan, Filippo Menczer, Alessandro Flammini
2014 Proceedings of the 2014 ACM conference on Web science - WebSci '14  
Here we present a study of the Gezi Park movement in Turkey through the lens of Twitter. We analyze over 2.3 million tweets produced during the 25 days of protest occurred between May and June 2013.  ...  We first characterize the spatio-temporal nature of the conversation about the Gezi Park demonstrations, showing that similarity in trends of discussion mirrors geographic cues.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1145/2615569.2615699 dblp:conf/websci/VarolFOMF14 fatcat:vw2qje2vwvedjhyp3fvuup5xka

A Hybrid Classification Algorithm to Classify Engineering Students Problems and Perks

Mitali Desai, Mayuri A. Mehta
2016 International Journal of Data Mining & Knowledge Management Process  
The large and growing scale of information needs automatic classification techniques. Sentiment analysis is one of the automated techniques to classify large data.  ...  The social networking sites have brought a new horizon for expressing views and opinions of individuals.  ...  In our study, we have collected data from Twitter that has witnessed a tremendous growth in the number of users recently [8] [9] .  ... 
doi:10.5121/ijdkp.2016.6206 fatcat:6rqtedx72ja4dldfsocuxkwmcq

How Visibility and Divided Attention Constrain Social Contagion

Nathan Oken Hodas, Kristina Lerman
2012 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing  
Researchers have recently examined a number of factors that affect information diffusion in online social networks, including: the novelty of information, users' activity levels, who they pay attention  ...  Using URLs as markers of information, we carry out a detailed study of retweeting, the primary mechanism by which information spreads on the Twitter follower graph.  ...  Analyzing this human response dynamic allows us to observe how users manage the inherently dynamic nature of the twitter queue.  ... 
doi:10.1109/socialcom-passat.2012.129 dblp:conf/socialcom/HodasL12 fatcat:ehu7hcq5evhyrprgeghekhjs2u

Attention Inequality in Social Media [article]

Linhong Zhu, Kristina Lerman
2016 arXiv   pre-print
In this paper, we examine the distribution of attention across a large sample of users of a popular social media site Twitter.  ...  We develop a phenomenological model that quantifies attention diffusion and network dynamics, and solve it to study how attention inequality grows over time in a dynamic environment of social media.  ...  Attention Diffusion Model To help explain dynamics of attention inequality in online social media, we develop a model of network dynamics via diffusion of attention.  ... 
arXiv:1601.07200v1 fatcat:hgqde36airgczp3ss5zsepk55q

Choice of Best Samples for Building Ensembles in Dynamic Environments [chapter]

Joana Costa, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2016 Communications in Computer and Information Science  
In this work, we propose a technique to define the best set of training examples using dynamic ensembles in text classification scenarios.  ...  In dynamic environments, where new data is constantly appearing, old data is usually disregarded, but sometimes some of those disregarded examples may carry substantial information.  ...  In this section we presented some examples of the importance of tackling drift in dynamic scenarios like social networks, and particularly in Twitter.  ... 
doi:10.1007/978-3-319-44188-7_3 fatcat:clewj6mwrvbnlb5sg6cccf75dq

A Prediction of Twitter Sentiment Class using Bi-directional Long Short Term Memory with Self-Attention Layer Mechanism

2020 International Journal of Advanced Trends in Computer Science and Engineering  
In recent decade, the sentimental analysis using twitter data gained more attention among the researchers.  ...  Initially, the input data was collected from Sanders Twitter Corpus (STC) dataset.  ...  In this work, the source data is collected from twitter for analyzing the people sentiments.  ... 
doi:10.30534/ijatcse/2020/04952020 fatcat:m4dnuyiamzeidcgto3km2ctage

Unraveling the Origin of Social Bursts in Collective Attention [article]

Manlio De Domenico, Eduardo G. Altmann
2019 arXiv   pre-print
In fact, the complex interplay between individual and social activities in social systems overwhelmed by information results in bursty activity of collective attention which are still poorly understood  ...  We observe extreme fluctuations in collective attention that we are able to characterize and explain by considering the co-occurrence of two fundamental factors: the heterogeneity of social interactions  ...  Analysis of bursty activity due to collective attention. Let us focus our attention on the evolution of collective attention dynamics over time, during different special events, shown in Fig. 1 .  ... 
arXiv:1903.06588v1 fatcat:2je6dav24jgpddvofsywomwsiu
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