NaN

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Networks & agents Network (NaN)

NaN is a research group exploring the modeling, simulation, and analysis of complex social and information networks, and the human and artificial agents who live in these networks. Broadly speaking our research spans network science, data science, web science, and computational social science.

Observatory on Social Media

Twitter echo chambersRecently our focus has been on modeling the dynamic processes that occur online (how information networks grow and evolve, how memes go viral, how social media can be manipulated for the spread of misinformation, how attention bursts and other traffic patterns emerge, etc.) and on the design of tools to make the Web and social media ‘better’ (more trustworthy, reliable, intelligent, autonomous, robust, personalized, contextual, scalable, adaptive, and so on). Please refer to the Observatory on Social Media (OSoMe, pronounced “awesome”), a collaboration with the Media School and the IU Network Science Institute (IUNI), for more information about this line of research and related tools, including Botometer, Hoaxy, Fakey, BotSlayer, and more.

Other active NaN projects

Kinsey Reporter
Kinsey Reporter
Scholarometer
Science of Science
computational-fact-checking
Fact-Checking
COSINE
COSINE

Archived NaN projects

Algorithmic Bias
Bias
Web Traffic Analysis & Modeling
Online Behavior
Attention and Virality
Attention and Virality
DESPIC
DESPIC
Web Dynamics
Web Dynamics
Web Security
Web Security
GiveALink
GiveALink
Text & Link Modeling
Text & Link Modeling
Sixearch
Sixearch
Network Flow Analysis
Network Flow Analysis
WebGraph++
WebGraph++
InfoSpiders
InfoSpiders
Web Topologies
Web Topologies
IntelliShopper
IntelliShopper
ELSA
ELSA
LEE
LEE
BioNets
BioNets
ACE
ACE