Kinsey Reporter launch
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
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
Read 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
[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.
Truthy elections analytics tool


Research by our Truthy team was recently featured in New Scientist, USA Today, and the cover story of Science News. The Truthy project, developed by CNetS researchers and doctoral students, aims to study the factors affecting the spread of information — and misinformation — in social media.
The Truthy site charts tweet sentiment and volume related to themes such as social movements and news. It also monitors Twitter activity to build interactive networks that let visitors visualize the diffusion networks of memes, identify the most influential information spreaders, and explore those influential feeds and other information about their online activity, such as sentiment and language. Other tools let you map the geo-temporal diffusion of memes, generate YouTube movies that display how hashtags emerge and connect, and download data directly from Twitter. With these analytics, one can begin to ask question such as: How does sentiment change in response to events and memes? What memes survive over time? Who are the most influential users on a particular topic?
For more press coverage go to the Truthy press page.
Welcome to two new postdocs
We welcome two postdoctoral associates who just joined our center. Ruby Wang got her PhD in Physics from Central China Normal University in 2009. Emilio Ferrara got his PhD in Mathematics (Computer Science) from the University of Messina in Italy in 2012. Both will work on projects related to the diffusion of information in social media and social networks.
Karissa McKelvey gets Provost’s Award for Undergraduate Research and Creative Activity
Congratulations to Karissa McKelvey for being one of six undergraduate students at Indiana University Bloomington who have received the 2011-12 Provost’s Award for Undergraduate Research and Creative Activity. A senior in the School of Informatics and Computing from Santa Rosa, Calif., Karissa is working with Filippo Menczer on the Truthy project, which analyzes and makes accessible a massive stream of data disseminated through social media. She is focusing on the design and development of an interactive Web interface to visualize and navigate the diffusion of memes on networks such as Twitter. The goal of the project is to empower researchers, journalists and ordinary citizens to visualize how information spreads online and identify critical factors of the diffusion process. Karissa recently presented her work at the 2012 Conference on Computer Supported Cooperative Work. She plans to pursue a Ph.D. and to conduct research that applies computational tools to fields such as political science.
Competition among memes in a world with limited attention

Lilian
In our paper on Competition among memes in a world with limited attention in Nature Scientific Reports, Lilian Weng and coauthors Sandro Flammini, Alex Vespignani, and Fil Menczer report that we can explain the massive heterogeneity in the popularity and persistence of memes as deriving from a combination of the competition for our limited attention and the structure of the social network, without the need to assume different intrinsic values among ideas. The findings have been mentioned in the popular press, including Information Week, The Atlantic, and the Dutch daily NRC.
DARPA award
Prof. Flammini (PI) and Menczer have been awarded a three-year, $2M grant from DARPA in the context of the Social Media in Strategic Communication (SMISC) program, whose primary goal is “to develop a new science of social networks built on an emerging technology base,” Our IU unit leads a three-group team that includes collaborators at Lockheed-Martin Advanced Technology Lab and the University of Michigan. The funded project is aimed at designing and implementing a system to detect online persuasion campaigns.
Google gift supports Espresso Club

Google committed to a yearly gift of $700 to CNetS to support our Espresso Club. This will allow us to heavily subsidize the cost of coffee for our grad students, furthering the club’s mission to transform caffeine into science. Our thanks to Google!
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