Characterization of Individual Mobility and Society Using CDR Data


Mohammed Zohdy Abdulhady,Loay E. George,



Call phones,Mobile network records,Mobility,Human's behavior,Zain,


Through the previous years, a large number of cell phones information has become in the hand for the analysis patterns of people movements. This information’s carry a massive assurance for realizing behavior of human on a very large scale, as well as with an accuracy and precision never happened before can be allowed with surveys, censuses or other available data selection techniques. There are a number of researches that has open key advance into analyzing mobility of human utilizing this available recent data source, as well as there have been multiple various calculations of mobility applied. Mobility of human, or motion over large or short distances for narrow or vast durations of time, is an essential until continuous study for occurrence in the sciences of demographic and social systems. Meanwhile there have been harmonious progresses in compassionate migration (consider continuous pattern of mobility) as well as its effect on people happiness, social organizations, economic, and political organization, progresses in researches of mobility have been embarrass by complexity in measuring and recording how people move on a second and in detailed range. In this paper, the ability of using mobile network records will been described for analyzing the mobility of people and society for various objectives such as monitoring the mobility in cities and builds the suitable infrastructure for them. The mobility of individuals will be very benefit for observation the behavior of peoples and their effect in security issues. In order to test the system performance, a set of tests was applied on Zain calls dataset. The results indicates for the society mobility has been exported for the Baghdad Karkh area peoples. The results have been exported for two phases, one phases when the number of people’s routes where only 10 movement and the second phase when the people routes where 3 routes.


I. Chen Zhou, Xu, Z., & Huang, B., ”Activity Recognition from Call Detail Record:
Relation Between Mobile Behavior Pattern And Social Attribute Using
Hierarchical Conditional Random Fields”,International Conference on Green
Computing and Communications & IEEE/ACM International Conference on
Cyber, Physical and Social Computing, 2010.

II. Ghotekar, N., “Analysis and Data Mining of Call Detail Records using Big Data
Technology”, International Journal of Advanced Research in Computer and
Communication Engineering, Vol. 5, December 2016.
III. M.Donato, K..,”Current trends and patterns of female migration: Evidence from
Mexico”. International Migration Review, 27(4), 748-771, 1993.
IV. Massey DS.,”Social structure, household strategies, and the cumulative causation
of migrateon”. Population Index. 56:3–26. 10.2307/3644186, 1990.
V. Massey, D. S., & Espinosa, K. E., ”What’s driving Mexico-US migration? A
theoretical, empirical, and policy analysis”, American journal of sociology,
102(4), 939-999, 1997.
VI. Massey, D. S., Williams, N., Axinn, W. G., & Ghimire, D. J., ”Community
services and out-migration”. International Migration. 48(3), 1-41, 2010.
VII. Martin B.,”Mean and Standard Deviation”, report of applied statics, 2006
VIII. R., .Harris, J. & Todaro, M. P., ”Migration, unemployment and development: a
two-sector analysis” , The American economic review, 126-142, 1970.
IX. Ratul Sikder, Uddin, M. J., & Halder, S., ”An Efficient Approach of Identifying
Tourist by Call Detail Record Analysis” International Workshop on
Computational Intelligence (IWCI) 12-13 Dhaka, Bangladesh, December 2016.
X. S. Massey, D., Arango, J., Hugo, G., Kouaouci, A., Pellegrino, A., & Taylor, J.
E., ”Theories of international migration: A review and appraisal”, Population
and development review, 431–466, 1993.
XI. Stark, O., & Bloom, D. E., ”The new economics of labor migration”. The
american Economic review, 75(2), 173-178.1985.
XII. Stark O, Taylor JE. ”Migration incentives, migration types: The role of relative
deprivation”. The Economic Journal. 101:1163–1178. 10.2307/2234433, 1985.
XIII. Sara B. Elagib, Hashim, A. H. A., & Olanrewaju, R. F.”CDR Analysis using Big
Data Technology”, International Conference on Computing, Control,
Networking, Electronics and Embedded Systems Engineering, 2015
XIV. W. Kandel, J .Durand, Parrado, E. A., & Massey, D. S., ”International
migration and development in Mexican communities”. Demography, 33(2), 249-
264, 1996.
XV. Xuzhao Wang, Dong, H., Zhou, Y., Liu, K., Jia, L., & Qin, Y., ”Travel Distance
Characteristics Analysis Using Call Detail Record Data”, 29th Chinese Control
And Decision Conference (CCDC), 2017.
XVI. Zhang, S., Yin, D., Zhang, Y., & Zhou, W., “Computing on Base Station
Behavior Using Erlang Measurement and Call Detail Record”, IEEE transactions
on emerging topics in computing, 3(3), 444-453 2015.

View Download