web and complex systems lab @ kno.e.sis

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Web and Complex Systems Lab Dr. Derek Doran August 2015 http://knoesis.wright.edu/doran

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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