Mobile sensing technologies and computational methods for collective intelligence

Studies in Computational Intelligence

Volumn 352, Issue , 2011, Pages 575-597

  Olguín, Daniel Olguín ^a   Madan, Anmol ^a   Cebrian, Manuel ^a   Pentland, Alex ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79960959756     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-20344-2_21     Document Type: Review

References (63)

1. Abdelzaher, T., Anokwa, Y., Boda, P., et al.: Mobiscopes for Human Spaces. IEEE Pervasive Computing, 20-29 (2007) (Pubitemid 46645069)
2. Avancha, S., Baxi, A., Kotz, D.: Privacy in mobile technology for personal healthcare. ACM Computing Surveys (2009)
3. Aaron, C., Moore, C., Newman, M.: Hierarchical structure and the prediction of missing links in networks. Nature 453(7191), 98-101 (2008) (Pubitemid 351630323)
4. Arbesman, S., Kleinberg, J., Strogatz, S.: Superlinear scaling for innovation in cities. Physical Review E 79(1), 16115 (2009)
5. Bagrow, J.P., Bollt, E.M.: Local method for detecting communities. Phys. Rev. E. 046108 (2005)
6. Bao, L., Intille, S.S.: Activity Recognition from User-Annotated Acceleration Data. In: Proceedings of the 2nd International Conference on Pervasive Computing, pp. 1-17 (2004)
7. Bettencourt, L., Lobo, J., Helbing, D., Kuhnert, C., West, G.: Proceedings of the National Academy of Sciences 104, 7301 (2007)
8. Bernard, H.R., Killworth, P., Kronenfeld, D., Sailer, L.: The Problem of Informant Accuracy: The Validity of Retrospective Data. Annual Review of Anthropology 13, 495-517 (1984)
9. Cebrian, M., Lahiri, M., Oliver, N., Pentland, A.: Measuring the Collective Potential of Populations From Dynamic Social Interaction Data. IEEE Journal of Selected Topics in Signal Processing 4(4), 667-686 (2010)
10. Lahiri, M., Cebrian, M.: The genetic algorithm as a general diffusion model for social networks. In: Proceedings of the AAAI Conference on Artificial Intelligence (2010)
11. Choudhury, T., Pentland, A.: Sensing and Modeling Human Networks Using the Sociometer. In: 7th International Symposium on Wearable Computers, October 21-23 (2003)
12. Chung, P.-C., Liua, C.-D.: A daily behavior enabled hidden Markov model for human behavior understanding. Pattern Recognition, 1572-1580 (2007)
13. Ciccone, A., Hall, R.: Productivity and the density of economic activity. The American Economic Review 86, 54-70 (1996)
14. Ciccone, A.: Agglomeration effects in Europe. European Economic Review 46(2), 213-227 (2002) (Pubitemid 34103497)
15. DeVaul, R.W., Dunn, S.: Real-Time Motion Classification for Wearable Computing Applications. Technical Report. MIT Media Laboratory (2001)
16. Dong, W., Pentland, A.: Modeling Influence Between Experts. In: Huang, T.S., Nijholt, A., Pantic, M., Pentland, A. (eds.) ICMI/IJCAI Workshops 2007. LNCS (LNAI), vol. 4451, pp. 170-189. Springer, Heidelberg (2007)
17. Eagle, N., Pentland, A., Lazer, D.: Inferring Social Network Structure Using Mobile Phone Data. In: Proceedings of NAS, vol. 106, pp. 15274-15278 (2009)
18. Gonzalez, M., Hidalgo, C., Barabasi, A.-L.: Understanding Human Mobility Patterns. Nature 453, 779-982 (2008)
19. Foltz, P.W., Martin, M.J.: Automated Communication Analysis of Teams. In: Salas, E., Goodwin, G.F., Burke, S. (eds.) Team Effectiveness in Complex Organizations, pp. 411-431. Taylor & Francis Group, New York (2009)
20. Gatica-Perez, D.: Analyzing group interactions in conversations: a review. In: Proceedings of the International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 41-46. IEEE, Los Alamitos (2006) (Pubitemid 351409405)
21. Gatica-Perez, D.: Automatic nonverbal analysis of social interaction in small groups: A review. Image and Vision Computing (2009)
22. Girvan, M., Newman, M.E.: Community structure in social and biological networks. In: PNAS, pp. 7821-7826 (2002) (Pubitemid 34650963)
23. Glaeser, E., Kallal, H., Scheinkman, J., Shleifer, A.: Growth in Cities. Journal of Political Economy 100, 1126-1152 (1992)
24. Goldenberg, A.: Scalable Graphical Models for Social Networks. PhD Thesis. Pittsburgh, PA, USA: Carnegie Mellon University (2007)
25. Granovetter, M.: The strength of weak ties. American Journal of Sociology 78, 1360-1380 (1973)
26. Handcock, M., Raftery, A., Tantrum, J.: Model-based clustering for social networks. Journal of the Royal Statistical Society: Series A (Statistics in Society) 170(2), 301-354 (2007)
27. Heylighen, F.: Collective Intelligence and its Implementation on the Web: algorithms to develop a collective mental map. Computational and Mathematical Organization Theory 5(3), 253-280 (1999)
28. Hinds, P.: Distributed Work. MIT Press, Cambridge (2002)
29. Jacobs, J.: The economy of cities. Vintage Books (1969)
30. Jacobs, J.: Cities and the wealth of nations: Principles of economic life. Random House (1984)
31. Kern, N., Schiele, B.: Context-Aware Notification for Wearable Computing. In: Proceedings of the 7th International Symposium on Wearable Computing, pp. 223-230 (2003)
32. Kossinets, G., Watts, D.J.: Empirical Analysis of Evolving Social Networks. Science, 88-90 (2006) (Pubitemid 43063064)
33. Bramoullé, Y., Kranton, R.: Public Goods in Networks. Journal of Economic Theory 135(1), 478-494 (2007)
34. Lahiri, M., Cebrian, M.: The genetic algorithm as a general diffusion model for social networks. In: Proc. of the 24th AAAI Conference on Artificial Intelligence, Atlanta, Georgia (2010)
35. Lazer, D., Friedman, A.: The Network Structure of Exploration and Exploitation. Administrative Science Quarterly 52(4), 667-694 (2007)
36. Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.-L., Brewer, D., et al.: Computational Social Science. Science 323, 721-723 (2009)
37. Lee, S.W., Mase, K.: Activity and Location Recognition Using Wearable Sensors. In: Pervasive Computing, pp. 24-32 (2002) (Pubitemid 44939969)
38. Leskovec, J., Kleinberg, J., Faloutsos, C.: Graphs over time: densification laws, shrinking diameters and possible explanations. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, p. 187 (2005)
39. Leskovec, J., Adamic, L., Huberman, B.: The dynamics of viral marketing. ACM Transactions on the Web, 1-1 (2007)
40. Lester, J., Choudhury, T., Borriello, G.: A practical approach to recognizing physical activities. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 1-16. Springer, Heidelberg (2006) (Pubitemid 44044748)
41. Liao, L., Choudhury, T., Fox, D., Kautz, H.: Training Conditional Random Fields Using Virtual Evidence Boosting. In: Proceedings of the International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 1-6 (2007)
42. Macy, M., Eagle, N., Claxton, R.: Network Diversity and Economic Development. Science 328(5981), 1029 (2010)
43. Madan, A., Pentland, A.: Modeling Social Diffusion Phenomena Using Reality Mining. In: AAAI Spring Symposium on Human Behavior Modeling, Stanford University, CA (2009)
44. Madan, A., Pentland, A.: Social Sensing of Political Opinions (2010) (in submission) McCallum, A., Wang, X., Corrada-Emmanuel, A.: Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email. Journal of Artificial Intelligence Research 30, 249-272 (2007)
45. Mantyjarvi, J., Himberg, J., Seppanen, T., Center, N.: Recognizing human motion with multiple acceleration sensors. In: IEEE International Conference on Systems, Man, and Cybernetics, pp. 747-752 (2001) (Pubitemid 34210533)
46. Mishra, N., Schreiber, R., Stanton, I., Tarjan, R.E.: Clustering social networks. In: Bonato, A., Chung, F.R.K. (eds.) WAW 2007. LNCS, vol. 4863, pp. 56-67. Springer, Heidelberg (2007)
47. Olguin-Olguin, D.: Sociometric Badges: Wearable Technology for Measuring Human Behavior. Master's Thesis. Cambridge, MA, USA: Massachusetts Institute of Technology (2007)
48. Olguin-Olguin, D., Gloor, P.A., Pentland, A.: Wearable Sensors for Pervasive Healthcare Management. In: 3rd International Conference on Pervasive Computing Technologies for Healthcare, London, UK, April 1-3, pp. 1-4 (2009a)
49. Olguin-Olguin, D., Waber, B., Kim, T., Mohan, A., Ara, K., Pentland, A.: Sensible Organizations: Technology and Methodology for Automatically Measuring Organizational Behavior. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 39(1), 43-55 (2009b)
50. Olguin-Olguin, D., Pentland, A.: Sensor-Based Organisational Design and Engineering. To appear in: International Journal of Organisational Design and Engineering (2010)
51. Oliver, N., Horvitz, E.: A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 199-209. Springer, Heidelberg (2005)
52. Oliver, N., Garg, A., Horvitz, E.: Layered representations for learning and inferring office activity from multiple sensory channels. Computer Vision and Image Segmentation 96, 163-180 (2004)
53. Palla, G., Barabasi, A.L., Vicsek, T.: Quantifying social group evolution. Nature, 664-667 (2007) (Pubitemid 46606882)
54. Pentland, A.: Automatic Mapping and Modeling of Human Networks. Physica A: Statistical Mechanics and its Applications 378(1), 59-67 (2006)
55. Pentland, A.: Honest Signals: How they Shape our World. The MIT Press, Cambridge (2008)
56. Ravasz, E., Barabasi, A.: Physical Review E 67, 26112 (2003)
57. Robins, G., Snijders, T., Wang, P., Handcock, M., Pattison, P.: Recent developments in exponential random graph (p*) models for social networks. Social Networks 29(2), 192-215 (2007)
58. Salganik, M., Dodds, P., Watts, D.: Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market. Science 311 (2006)
59. Scarlat, E., Maries, I.: Towards an Increase of Collective Intelligence within Organizations Using Trust and Reputation Models. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol. 5796, pp. 140-151. Springer, Heidelberg (2009)
60. Slaughter, A.J., Yu, J., Koehly, L.M.: Social Network Analysis: Understanding the Role of Context in Small Groups and Organizations. In: Salas, E., Goodwin, G.F., Burke, S. (eds.) Team Effectiveness in Complex Organizations, pp. 433-459. Taylor & Francis Group LLC, Abington (2009)
61. Sukthankar, G., Sycara, K.: A cost minimization approach to human behavior recognition. In: Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems, The Netherlands, pp. 1067-1074 (2005)
62. Van Laerhoven, K., Cakmakci, O.: What shall we teach our pants? In: Proceedings of the 4th International Symposium on Wearable Computers, pp. 77-83 (2000) (Pubitemid 32072864)
63. Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, London (1994)