web and complex systems lab @ kno.e.sis
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Web and Complex Systems Lab
Dr. Derek DoranAugust 2015
http://knoesis.wright.edu/doran
Lab SummaryTheme: Investigating both theoretical and practical aspects of
complex systems analysis and control.
Emphasis: Quantitative and structural modeling, Web systems, modeling complexity in emerging domains
Areas of interest: - Social Informatics- Systems Optimization- Network Science Theory
Students: 3 full-time GRAs; 1 UGRA, 1 summer researcher Funding: From NSF, I/UCRC, SocInfo Startup, Internal WSU CompetitionCollaborations: Bell Labs, AFRL, WSU Depts. of ICCSM and Professional
Psych., 7 Cups of Tea Inc., Univ. of Pavia
Understanding and Mitigating Web Robot (IoT) Traffic on Web Systems Preparing for the IoT future (present)
2012: 60% of http traffic on the Web driven by a machine rather than a human
We are approaching an age where most devices will be always online — the 60% proportion will only get higher
Yet Web and cloud platform optimizations rely on statistical patterns seen only in human driven traffic
Result: Band-aid solutions… we provision bigger clouds, faster servers, more energy…
Funding: NSF CSR [CRII award winner]
Understanding robot traffic, and building new optimizations for servers and clouds, may drastically improve their efficiency and decrease their energy footprint
• IoT Traffic Detection• Traffic classification and characterization• Statistical Analysis• Synthetic traffic generation• IoT demand modeling
• New System Optimizations• Robot-resilient predictive Web
caching
Research Tasks
Funding: NSF CSR [CRII award winner]
Wide Area Geospatial Awareness • Military aerial sensors capture images of large
(4km x 4km) regions. Resolution beats ImageBox, etc.
• SOTA uses images to keep an eye on an individual. Uses a pittance of the data in an image.
• Our focus - Use all the data to model the dynamics in a region over time
• Operations on a temporal network representation of image sequences reveal macro-level characteristics
• Streaming data to temporal network: A major network science theory question to be tackled
Funding: NSF I/UCRC CSR
Online Emotional Support Systems
• Web has always been used as a medium to find and connect to those offering emotional support. Now new social technologies are radically redefining this process.
• We investigate the world’s largest social network (> 100k users) designed only to connect those needing help with a crowd of others offering free, one-on-one support
• A new paradigm: can effective emotional support be delivered by a literal army of paraprofessionals? Can we outsource some aspects of clinical psychology?
• Full study published @ ACM/IEEE ASONAM 2015 (Premiere conference on computational social network analysis and mining)
Other Projects
• Kno.e.sis collaborations: PSN, social data recommendation, user interest modeling
• Mobile phone data analytics for social good
• Customer analytics for online social services
• Social role theory and mining in large social systems
• Interdisciplinary data science curriculum development