reality mining

Reality Mining

Virgílio SolanoRA 180158

◎Universidade Estadual de Campinas

◎ Instituto de Computação◎ Web e Web Semântica

◎ Prof. André Santanchè

Agenda

◎ Introduction◎ What’s Reality Mining?◎ Motivation◎ Examples◎ Research◎ Challenges◎ Conclusion◎ Questions

What’sReality

Mining?Computer Social Science

Social Physics

Social Network Patterns

“We define reality mining as quantifying and modelinglong-term human behavior and social interactions,

by using mobile phones and wearable badges as sensors that capture realworld

face-to-face interactions.

Reality Mining and Personal Privacy Will Privacy Disappear when Social Sensors Learn Our Lives? - MIT Media Laboratory

Computer Science- Data Mining- Dynamic Networks- Behaviour Analysis- Machine Learning

Methods- Statistical Analyses

Reality Mining

Social Science- Behaviour Analysis- Psychologic Social- Polytics and

Economic Analysis- Health- Nature Analysis

Motivation

Human BehaviorPatterns Machine Learning

Patterns Human Behavior Machine Learning

ExamplesSome examples using

Reality Mining

Terrorist Tracking

India

Predicting Congestion

Traffic congestion predicted using mobile phone GPS data

Analyses the flow face-to-face and producvity

Patterns of communication within departments of a bank

Reality Mining data from GPS

Patterns of human movement in San Francisco Limited mixing among people with different behavior patterns

Health – Indentify depression

Types speech and Variations : Pitch, variability of pitch and energy

ResearchExperiments

Modeling social diffusion using mobile phones

Shows the pattern of proximity between people during one day

Modeling social diffusion using mobile phones

Shows that different social relationships are associated with different patterns of proximity

Classifying spending behavior using socio-mobile data

Reality Mining and Social Network in nature

Many Researches

- Efficient detection of contagious outbreaks in massive metropolitan encounter networks

- The Social Amplifier – Reaction of Human Communities to Emergencies

- Friends don’t Lie - Inferring Personality Traits from Social Network Structure

- Limits of social mobilization

- Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data

- The capacity to collect and analyze massive amounts of data unambiguously

Challenges

Problems and solutions

Challenges

- Security, Data ownership and privacy

- Echo Chamber in network

- Robust models of collaboration and data sharing between industry and the academy need to be developed that safeguard

- How to developing technologies that protect privacy while preserving data essential for research?

- How to integrate and approach Computer Science Scientists and Social Scientists?

- Developer robust algorithms to process the big data around the world

Conclusion

Some considerations

Conclusion

- New way for understand to social mechanism and life

- Improving methods to sharing private data and privacy policies

- Advanced analysing big data around the world

- Increase the efficiency and responsiveness of industries and governments.

- Convenience for everything at today

- Computational social science needs to be the work of teams of social and computer scientists.

- Salvation or our destruction.

Thanks!Any questions?

You can find me at:virgiliosolano.wordpress.comvirgiliosolmag@gmail.com

References

- T. Choudhury (2004) “Sensing and Modeling Human Networks.” Cambridge, MA USA, PhD Thesis, MIT Media Laboratory.

- A. Pentland (2005) “Socially Aware Computation and Communication.” IEEE Computer,33-40.- F. Grippa, A. Zilli, R. Laubacher and P. Gloor (2006) “E-mail may not reflect the social network.” Proceedings of

the North American Association for Computational Social and Organizational Science Conference.- A. Pentland (2006) “Automatic mapping and modeling of human networks.”, Physica A: Statistical Mechanics

and its Applications. - A. Pentland (2006) “Life in the network: the coming age of computational social science”,

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745217/, April;- A. Pentland (2006) “Automatic mapping and modeling of human networks.”, Physica A: Statistical Mechanics

and its Applications. - S. Aral, E. Brynjolfssen and M.W. Van Alstyne (2007) “Productivity Effects of Information Diffusion in Networks,”

MIT Center for Digital Business, paper 234 - L. Backstrom, C. Dwork, and J. Kleinberg (2007) “Wherefore Art Thou R3579X? Anonymized Social Networks,

Hidden Patterns, and Structural Steganography.” WWW Conference.- M. Gonzalez, C. Hidalgo and A.-L. Barabási (2008) “Understanding Human Mobility Patterns.” Nature 453, pp

779-782. - B.N. Waber, D. Olguin Olguin, T. Kim and A. Pentland (2008) “Understanding Organizational Behavior with

Wearable Sensing Technology.” Acadmey of Mangement Annual Conference. Anaheim, CA, USA. - B.N. Waber, D. Olguin Olguin, T. Kim and A. Pentland (2008) “Workplace Privacy.” EPIC Workplace Privacy

Page. Electronic Privacy Information Center, 11 September 2008. Retrieved 14 July 2009- A. Pentland. (2008) “Reality Mining of Mobile Communications: Toward a New Deal on Data”,

http://hd.media.mit.edu/wef_globalit.pdf, April;- D. Lazer, D. Brewer, T. Heibeck and A. Pentland. (2009) “Improving Public Health and Medicine by use of

Reality Mining”. http://hd.media.mit.edu/rwjf-reality-mining-whitepaper-0309.pdf, April. 

References

- N. Eagle and A. Pentland, (2009) “Reality Mining: Sensing Complex Social Systems”, Personal and Ubiquitous Computing, Vol 10, #4, 255-26.

- N. Eagle and A. Pentland (2009) “Employee Monitoring: Is There Privacy in the Workplace?” Fact Sheet 7: Workplace Privacy. Privacy Rights Clearinghouse, April.

- A. Madan, B. N. Waber, M. Ding, P. Kominers, and A. Pentland (2009) “Reality Mining and Personal Privacy”: Will Privacy Disappear when Social Sensors Learn Our Lives?, http://senseable.mit.edu/engagingdata/papers/ED_SIII_Reality_Mining_and_Personal_Privacy.pdf , April.

- J. Krause, S. Krause, R. Arlinghaus, I. Psorakis, S. Roberts and C. Rutz (2013) “Reality mining of animal social systems”. http://www.igb-berlin.de/tl_files/data_igb/_aktuell_presse/_publikationen/KrauseEtAl_TREE_2013.pdf, April.