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My research falls at the boundary between these fields: Network Science Data Science Machine Learning Computer Science Scientific community service: Lead Editor of the thematic series on Collective Behaviors and Networks of EPJ Data Science. Co-organizer of CRIMENET 2014, the First Workshop on Criminal Network Analysis and Mining, co-located with SocInfo 2014! Co-organizer of Connecting Online

11 Jun 2011
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Evolution of Online User Behavior During a Social Upheaval

O Varol, E Ferrara, C Ogan, F Menczer, and A Flammini. ACM Web Science 2014. Useful links: Arxiv | ACM Digital Library. Social media represent powerful tools of mass communication and information diffusion. They played a pivotal role during recent social uprisings and political mobilizations across the world. Here we present a study of the

27 Jun 2014
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Detecting criminal organizations in mobile phone networks

E Ferrara, S Catanese, P De Meo, and G Fiumara. Expert Systems with Applications, 4:5733-5750, (2014). Useful links: Journal Page | Arxiv | PDF. The study of criminal networks using traces from heterogeneous communication media is acquiring increasing importance in nowadays society. The usage of communication media such as phone calls and online social networks

14 Apr 2014
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Analyzing user behavior across social sharing environments

P De Meo, E Ferrara, F Abel, L Aroyo, and GJ Houben. ACM Transactions on Intelligent Systems and Technology (ACM TIST) 5(1), 2013. Useful links: PDF | ACM library | Arxiv. In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious

14 Jan 2014
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Traveling Trends: Social Butterflies or Frequent Fliers?

E Ferrara, O Varol, F Menczer and A Flammini. ACM Conference on Online Social Networks (COSN’13), 2013. Useful links: PDF | ACM library | Arxiv. Trending topics reflect the conversations that grab collective attention on online social media. They are continually changing and often reflect exogenous events that happen in the real world. Trends are

01 Aug 2013
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Clustering memes in Social media

E Ferrara, M JafariAsbagh, O Varol, V Qazvinian, F Menczer, and A Flammini. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’13), 2013. Useful links: PDF | Arxiv. The increasing pervasiveness of social media creates new opportunities to study human social behavior, while challenging our capability to analyze their massive data

01 Aug 2013
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The Digital Evolution of Occupy Wall Street

MD Conover, E Ferrara, F Menczer, and A Flammini. PLoS ONE 8(5): e64679 (2013). Useful links: PDF | Journal page. We examine the temporal evolution of digital communication activity relating to the American anti-capitalist movement Occupy Wall Street. Using a high-volume sample from the microblogging site Twitter, we investigate changes in Occupy participant engagement, interests,

29 May 2013
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Scientific impact evaluation and the effect of self-citations: mitigating the bias by discounting h-index

E Ferrara, and AE Romero. Journal of the American Society for Information Science and Technology, 64(11):2332–2339 (2013). Useful links: PDF | Arxiv | Journal Page. In this paper, we propose a measure to assess scientific impact that discounts self-citations and does not require any prior knowledge on the their distribution among publications. This index can

17 Apr 2013
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The Geospatial Characteristics of a Social Movement Communication Network

MD Conover, C Davis, E Ferrara, K McKelvey, F Menczer, and A Flammini. PLoS One 8(3):e55957 (2013). Useful links: PDF | Journal page. Social movements rely in large measure on networked communication technologies to organize and disseminate information relating to the movements’ objectives. In this work we seek to understand how the goals and needs

12 Mar 2013
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Mixing local and global information for community detection in large networks

P De Meo, E Ferrara, G Fiumara, and A Provetti. Journal of Computer and Systems Sciences 80(1):72-87 (2014). Useful links: PDF | Journal page | Arxiv | CONCLUDE code. The problem of clustering large complex networks plays a key role in several scientific fields ranging from Biology to Sociology and Computer Science. Many approaches to

15 Jan 2013
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A large-scale community structure analysis in Facebook

E Ferrara. EPJ Data Science 1:9 (2012). Useful links: PDF | Arxiv | Journal page. Understanding social dynamics that govern human phenomena, such as communications and social relationships is a major problem in current computational social sciences. In particular, given the unprecedented success of online social networks, in this paper we are concerned with the

09 Oct 2012
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