Challenges for the Mobile Challenges for the Mobile Industry: Sensing, Scaling, and Industry: Sensing, Scaling, and
SustainingSustaining
Nathan EagleNathan EagleResearch Scientist / Postdoctoral Fellow / Fulbright LecturerResearch Scientist / Postdoctoral Fellow / Fulbright Lecturer
Massachusetts Institute of Technology / The Santa Fe Institute / U of Massachusetts Institute of Technology / The Santa Fe Institute / U of Nairobi et al. Nairobi et al.
SENSING: Reality MiningSENSING: Reality Mining
Eagle, N. “Machine Perception and Learning of Complex Social Systems", PhD Thesis, Massachusetts Institute of Technology. 2005.
400,000 continuous hours…400,000 continuous hours…
SCALING: Population Level Data SCALING: Population Level Data AnalysisAnalysis
Data: Data: Social Network of a Social Network of a NationNation 250 million nodes (phone 250 million nodes (phone
#’s)#’s) 5,000 edges/second (calls)5,000 edges/second (calls) 12 billion calls/month12 billion calls/month
ObjectivesObjectives Network Customer ValueNetwork Customer Value
Optimize Direct Optimize Direct Marketing StrategiesMarketing Strategies
Diffusion of Products and Diffusion of Products and Churn Churn
Aggregate BehaviorAggregate Behavior
SUSTAINING: The Developing SUSTAINING: The Developing WorldWorld
Why Africa?Why Africa? Fastest growingFastest growing 10,000’s CS graduates 10,000’s CS graduates
annuallyannually Underserved Mobile Underserved Mobile
Software MarketSoftware Market
EPROMEPROM EducationEducation ResearchResearch EntrepreneurshipEntrepreneurship
http://mit.edu/eprom
SMS BloodbankSMS Bloodbank
Bloodbank Supply Bloodbank Supply Chain Chain (mis)Management(mis)Management
Sambaza – Airtime Sambaza – Airtime SharingSharing
250 lines of code250 lines of code National National
Deployment?Deployment?
MoSoko: Craig’s List without MoSoko: Craig’s List without ComputersComputers
Legacy HandsetsLegacy Handsets FlashingFlashing SMS LaborSMS Labor Bulletin BoardsBulletin Boards
Community Service Community Service DeliveryDelivery WebWeb SMSSMS Voice (Asterisk)Voice (Asterisk)
Talk Takeaways: SENSINGTalk Takeaways: SENSING
Individual Behavior Individual Behavior PredictionPrediction
Relationship InferenceRelationship Inference Organizational Organizational
RhythmsRhythms Scale-up to 100kScale-up to 100k
http://reality.media.mit.edu
Talk Takeaways: SCALINGTalk Takeaways: SCALING
Large-Scale Large-Scale NetworksNetworks Aggregate Aggregate
BehaviorBehavior DiffusionDiffusion Scaling LawsScaling Laws
http://mit.edu/networkshttp://santefe.edu
Talk Takeaways: SUSTAININGTalk Takeaways: SUSTAINING
Legacy HandsetsLegacy Handsets Mobile Web Mobile Web
BypassBypass EntrepreneurshipEntrepreneurship ResearchResearch EducationEducation
http://eprom.mit.edu
EPROM: EducationEPROM: Education
Python for Python for Rapid Rapid PrototypingPrototyping
SMS SMS BootcampBootcamp
Mobile Phone Mobile Phone Programming Programming for for EntrepreneursEntrepreneurs
Conversation ModelingConversation Modeling
Conversation Finite State Machine
Variable-duration (semi-Markov) HMMs [Mu02]
JN
S
The Influence Model with Hidden States
[BCC01]
Sumit Basu, Tanzeem Choudhury, Brian Clarkson and Alex Pentland. Learning Human Interactions with the Influence Model. MIT Media Lab Vision and Modeling TR#539, June 2001.
Kevin Murphy. Modeling Sequential Data using Graphical Models. Working Paper, MIT AI Lab, 2002
Prosody AnalysisProsody Analysis
Speaking Time:Speaking Time: Circle sizeCircle size
Transition Transition Probability:Probability: Width of the linkWidth of the link
Average Interest Average Interest Level:Level: Circle color Circle color
(individual)(individual) Circle border Circle border
(group) (group)
Nathan Eagle and Alex Pentland, “Social Network Computing”, Ubicomp 2003: Ubiquitous Computing, Springer-Verlag Lecture Notes in Computer Science 2864, pp. 289-296, 2003.
An eComm 2008 presentation –
http://eCommMedia.com for more
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