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Fil Menczer

Fil Menczer

I am a Professor of Informatics and Computer Science and the Director of the Center for Complex Networks and Systems Research at the Indiana University School of Informatics and Computing. I also have courtesy appointments in Cognitive Science and Physics, and am affiliated with the Center for Data and Search Informatics and the Biocomplexity Institute. Finally I am the Lagrange Senior Fellow at the ISI Foundation’s Complex Networks Lab in Torino, Italy.

Research in my group, NaN, focuses on Web science, social media, social networks, social computing, Web search and data mining, distributed and intelligent Web applications, and modeling of complex information networks.

My calendar is a bit crowded. You may schedule an appointment with Tara Holbrook, our center’s administrative assistant. Or you can try your luck by Doodle MeetMeemail, phone (+1-812-856-1377), fax (+1-812-855-0600), or in person (Informatics East room 314).

Prospective students interested in joining my group, NaN, should look at this and this and this and this and this and this and these before contacting me. Then, if still interested, they should apply to one of our PhD programs: Informatics (Complex Systems track), Computer ScienceCognitive Science, or a combination. I am usually unable to respond to inquiries from prospective students unless they have already been admitted to one of these programs.

Latest News from the Blog



Kinsey Reporter launch

Kinsey Reporter App

Kinsey Reporter App

UPDATE: With legal review completed, we re-launched Kinsey Reporter V.2!

CNetS, in collaboration with The Kinsey Institute, has released Kinsey Reporter, a global mobile survey platform for collecting and sharing anonymous data about sexual and other intimate behaviors. The pilot project allows citizen observers around the world to use free applications now available for Apple and Android mobile platforms to not only report on sexual behavior and experiences, but also to share, explore and visualize the accumulated data.

This new platform will allow us to explore issues that have been challenging to study until now, such as the prevalence of unreported sexual violence in different parts of the world, or the correlation between various sexual practices like condom use, for example, and the cultural, political, religious or health contexts in particular geographical areas.

The Kinsey Institute’s longstanding seminal studies of sexual behaviors created a perfect synergy with research going on at CNetS related to mining big data crowd-sourced from mobile social media. The sensitive domain — sexual relations — added an intriguing challenge in finding a way to share useful data with the community while protecting the privacy and anonymity of the reporting volunteers.

Apps are available for free download at both the Apple iOS and Android app stores — download yours now! (More from IU News Room…)



Dataset of 53.5 billion clicks available

IU Click Collection System

IU Click Collection System

To foster the study of the structure and dynamics of Web traffic networks, we are making available to the research community a large Click Dataset of 13 53.5 billion HTTP requests collected at Indiana University. Between 2006 and 2010, our system generated data at a rate of about 60 million requests per day, or about 30 GB/day of raw data. We hope that this data will help develop a better understanding of user behavior online and create more realistic models of Web traffic. The potential applications of this data include improved designs for networks, sites, and server software; more accurate forecasting of traffic trends; classification of sites based on the patterns of activity they inspire; and improved ranking algorithms for search results.

 



Social Dynamics of Science

doi:10.1038/srep01069Read our latest paper titled Social Dynamics of Science in Nature Scientific Reports. Authors Xiaoling Sun, Jasleen Kaur, Staša Milojević, Alessandro Flammini & Filippo Menczer ask, How do scientific disciplines emerge? No quantitative model to date allows us to validate competing theories on the different roles of endogenous processes, such as social collaborations, and exogenous events, such as scientific discoveries. Here we propose an agent-based model in which the evolution of disciplines is guided mainly by social interactions among agents representing scientists. Disciplines emerge from splitting and merging of social communities in a collaboration network. We find that this social model can account for a number of stylized facts about the relationships between disciplines, scholars, and publications. These results provide strong quantitative support for the key role of social interactions in shaping the dynamics of science. While several “science of science” theories exist, this is the first account for the emergence of disciplines that is validated on the basis of empirical data.



Postdoctoral Researcher in Analysis and Modeling of Social Networks

Network of Political Retweets

[UPDATE: this position has been filled.]

The Center for Complex Networks and Systems Research has an open postdoctoral position to study how ideas propagate through complex online social networks. The position is funded by a McDonnell Foundation’s grant in Complex Systems. The appointment starts as early as possible after January 2013 for one year and is renewable for up to 2 additional years. The salary is competitive and benefits are generous.

The postdoc will join a dynamic and interdisciplinary team that includes computer, physical, and cognitive scientists. The postdoc will work with PIs Filippo Menczer and Alessandro Flammini, other postdocs, and several PhD students on analysis and modeling of social media data. Areas of focus will include information diffusion patterns, epidemic models for the spread of ideas, interactions between network traffic and structure dynamics, and agent-based models to explain the emergence of viral bursts of attention. Domains of study will include politics, scientific knowledge, and world events. Go to the grant page or project page for further details on the team and project.

The ideal candidate will have a PhD in computing or physical sciences; a strong background in analysis and modeling of complex systems and networks; and solid programming skills necessary to handle big data and develop large scale simulations.

To apply, email/send a CV and names and emails of three references to Tara Holbrook. Applications received by 15 December 2012 will receive full consideration, but applications will be considered until the position is filled.

Indiana University is an Equal Opportunity/Affirmative Action employer. Applications from women and minorities are strongly encouraged. IU Bloomington is vitally interested in the needs of Dual Career couples.

Thanks to KDnuggets, SOCNET, Gephi, DBWorld, Air-L, CITASA and others for help in advertising this position.



PLEAD 2012 keynote

PLEAD 2012I was honored to give a keynote presentation at PLEAD 2012, the CIKM Workshop on Politics, Elections and Data. My talk was titled The diffusion of political memes in social media. The workshop was held in beautiful Maui Hawaii, but alas, I could not attend in person and gave the presentation remotely via skype :-(