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Emergence of multiplex mobile phone communication networks across rural areas: An Ethiopian experiment

Published online by Cambridge University Press:  01 August 2014

PETR MATOUS
Affiliation:
School of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan (e-mail: petr@civil.t.u-tokyo.ac.jp)
YASUYUKI TODO
Affiliation:
Department of International Studies, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa-no-ha, Chiba, Japan (e-mail: yastodo@k.u-tokyo.ac.jp)
TATSUYA ISHIKAWA
Affiliation:
School of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan (e-mail: ishikawa@ken-mgt.t.u-tokyo.ac.jp)
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Abstract

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Mobile phones are spreading to remote areas of the globe, leading to the following question: “What is the potential of the new communication technologies for increasing individuals' access to information and the diffusion of attitudes and practices across rural areas of developing countries?” We have donated phones to 234 farmers selected by stratified random sampling in an agrarian region of Ethiopia and have tracked their main communication partners for six months. The panel data and qualitative interviews indicated that the phones were not typically used to expand the existing constrained social networks or to gain information from new sources but to call contacts who had been known personally and to individuals introduced through the experiment. Stochastic actor-based network models clarified that although agricultural information-seeking and casual calling are intertwined, the mechanisms underlying the evolution of instrumental and expressive communication networks are distinct. Acquaintances living beyond comfortable walking distances and individuals whom others call became preferred for information-seeking calls. Thus, mobile phones may accelerate information exchange within existing social networks and may support the creation of new information hubs that might facilitate more efficient information diffusion over long distances in the future. In contrast, the importance of geographical communities strongly prevails in casual phone conversations. Physically proximate community members who tend to be met frequently were preferred for sentiment-sharing calls. Preferential attachment was not evident for this type of communication. As a result, the network of these expressive calls was highly localized and fragmented, making it unlikely for personal feelings to diffuse across wide geographical areas through the new phone networks.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2014

References

Agneessens, F., & Wittek, R. (2012). Where do intra-organizational advice relations come from? The role of informal status and social capital in social exchange. Social Networks, 34 (3), 333345.CrossRefGoogle Scholar
Akoglu, L., & Dalvi, B. (2010). Structure, Tie Persistence and Event Detection in Large Phone and SMS Networks. Paper presented at the Proceedings of the Eighth Workshop on Mining and Learning with Graphs, Washington, D.C.Google Scholar
Albert, R., Jeong, H. & Barabási, A.-L. (2000). Error and attack tolerance of complex networks. Nature, 406 (6794), 378382.CrossRefGoogle ScholarPubMed
Arunachalam, S. (2002). Reaching the Unreached: How can we use ICTs to Empower the Rural Poor in the Developing World Through Enhanced Access to Relevant Information? Paper presented at the 68th IFLA Council and General Conference, Glasgow, Scotland.Google Scholar
Barabási, A.-L. (2009). Scale-free fetworks: A decade and beyond. Science, 325 (5939), 412413.CrossRefGoogle ScholarPubMed
Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286 (5439), 509512.Google ScholarPubMed
Barthélemy, M. (2011). Spatial networks. Physics Reports, 499 (1–3), 1101.CrossRefGoogle Scholar
Bewket, W. (2007). Soil and water conservation intervention with conventional technologies in northwestern highlands of Ethiopia: Acceptance and adoption by farmers. Land Use Policy, 24 (2), 404416.CrossRefGoogle Scholar
Bhavnani, A., Chiu, R. W., Janakiram, S., & Silarszky, P. (2008). The role of mobile phone in sustainable rural poverty reduction. Washington DC, USA: Policy Division (IBRD Telecommunications & Information), World Bank.Google Scholar
Bodin, Ö., & Crona, B. I. (2009). The role of social networks in natural resource governance: What relational patterns make a difference? Global Environmental Change, 19 (3), 366374.CrossRefGoogle Scholar
Boissevain, J. (1974). Friends of friends: Networks, manipulators and coalitions. London: Basil Blackwell.Google Scholar
Boorman, S. A., & Harrison, C. W. (1976). Social structure from multiple networks. II. Role structures. American Journal of Sociology, 81 (6), 13841446.CrossRefGoogle Scholar
Campbell, S. W., & Kelley, M. J. (2008). Mobile phone use among alcoholics anonymous members: New sites for recovery. New Media & Society, 10 (6), 915933.CrossRefGoogle Scholar
Central Statistical Agency. (2004). The Federal Democratic Republic of Ethiopia Statistical Abstract for 2003. Addis Ababa, Ethiopia: CSA.Google Scholar
Deressa, T. T. (2007). Measuring the economic impact of the climate change on Ethiopian agriculture: Ricardian approach. Washington DC, USA: The World Bank.CrossRefGoogle Scholar
Deressa, T. T., Hassan, R. M., Ringler, C., Alemu, T., & Yesuf, M. (2009). Determinants of farmers' choice of adaptation methods to climate change in the Nile basin of Ethiopia. Global Environmental Change, 19 (2), 248255.CrossRefGoogle Scholar
Donner, J. (2006). The use of mobile phones by microentrepreneurs in Kigali, Rwanda: Changes to social and business networks. Information Technologies and International Development, 3 (2), 319.CrossRefGoogle Scholar
Donner, J. (2008). Research approaches to mobile use in the developing world: A review of the literature. The Information Society, 24 (3), 140159.CrossRefGoogle Scholar
Donner, J. (2009). Blurring livelihoods and lives: The social uses of mobile phones and socioeconomic development. Innovations: Technology, Governance, Globalization, 4 (1), 91101.CrossRefGoogle Scholar
Douthwaite, B., Keatinge, J. D. H., & Park, J. R. (2001). Why promising technologies fail: the neglected role of user innovation during adoption. Research Policy, 30 (5), 819836.CrossRefGoogle Scholar
Ellwardt, L., Steglich, C., & Wittek, R. (2012). The co-evolution of gossip and friendship in workplace social networks. Social Networks, 34 (4), 623633.CrossRefGoogle Scholar
Entwisle, B., Faust, K., Rindfuss, Ronald R., & Kaneda, T. (2007). Networks and contexts: Variation in the structure of social ties. American Journal of Sociology, 112 (5), 14951533.CrossRefGoogle Scholar
Ferriani, S., Fonti, F., & Corrado, R. (2013). The social and economic bases of network multiplexity: Exploring the emergence of multiplex ties. Strategic Organization, 11 (1), 734.CrossRefGoogle Scholar
Fischer, C. S. (1992). America calling: A social history of the telephone to 1940. Berkeley, USA: University of California Press.Google Scholar
Folke, C., (2006). Resilience: The emergence of a perspective for social-ecological systems analyses. Global Environmental Change, 16 (3), 253267.CrossRefGoogle Scholar
Gao, J., Buldyrev, S. V., Stanley, H. E., & Havlin, S. (2012). Networks formed from interdependent networks. Nature Physics, 8 (1), 4048.CrossRefGoogle Scholar
Gebremedhin, B., & Swinton, S. M. (2003). Investment in soil conservation in northern Ethiopia: The role of land tenure security and public programs. Agricultural Economics, 29 (1), 6984.CrossRefGoogle Scholar
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78 (6), 13601380.CrossRefGoogle Scholar
Harrison, C. W., Boorman, S. A., & Breiger, R. L. (1976). Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81 (4), 730780.Google Scholar
Hidalgo, C. A. & Rodriguez-Sickert, C. (2008). The dynamics of a mobile phone network. Physica A: Statistical Mechanics and its Applications, 387 (12), 30173024.CrossRefGoogle Scholar
Homans, G. C. (1950). The human group. New York: Harcourt, Brace & Company.Google Scholar
Horst, H., & Miller, D. (2005). From kinship to link-up: Cell phones and social networking in Jamaica. Current Anthropology, 46 (5), 755778.CrossRefGoogle Scholar
Huitsing, G., van Duijn, M. A. J., Snijders, T. A. B., Wang, P., Sainio, M., Salmivalli, C., & Veenstra, R. (2012). Univariate and multivariate models of positive and negative networks: Liking, disliking, and bully–victim relationships. Social Networks, 34 (4), 645657.CrossRefGoogle Scholar
Ilahiane, H., & Sherry, J. W. (2012). The problematics of the “Bottom of the Pyramid'' approach to international develpment: The case of micro-entreprenours' use of mobile phones in Morocco. Information Technologies and International Development, 8 (1), 1326.Google Scholar
International Telecommunication Union. (2009). Information Society Statistical Profiles 2009: Africa. Geneva, Switzerland: International Telecommunication Union.Google Scholar
Janssen, M. A., Bodin, Ö., Anderies, J. M., Elmqvist, T., Ernstson, H., Mcallister, R. R. J., Olsson, P., & Ryan, P. (2006). Toward a network perspective of the study of resilience in social-ecological systems. Ecology and Society, 11 (1), 15.CrossRefGoogle Scholar
Juma, C. (2010). The new harvest: Agricultural innovation in Africa. New York, USA: Oxford University Press.Google Scholar
Kadushin, C. (2012). Understanding social networks: Theories, concepts, and findings. Oxford, UK: Oxford University Press.Google Scholar
Krackhardt, D., & Stern, R. N. (1988). Informal networks and organizational crises: An experimental simulation. Social Psychology Quarterly, 51 (2), 123140.CrossRefGoogle Scholar
Krings, G., Calabrese, F., Ratti, C., & Blondel, V. D. (2009). Urban gravity: A model for inter-city telecommunication flows. Journal of Statistical Mechanics: Theory and Experiment, 2009 (7), 18.CrossRefGoogle Scholar
Lambiotte, R., Blondel, V. D., de Kerchove, C., Huens, E., Prieur, C., Smoreda, Z., & Van Dooren, P. (2008). Geographical dispersal of mobile communication networks. Physica A: Statistical Mechanics and its Applications, 387 (21), 53175325.CrossRefGoogle Scholar
Lazega, E., Mounier, L., Snijders, T., & Tubaro, P. (2012). Norms, status and the dynamics of advice networks: A case study. Social Networks, 34 (3), 323332.CrossRefGoogle Scholar
Leeuwis, C. (2004). Communication for rural innovation: Rethinking agricultural extension. Ede, the Netherlands: Blackwell Publishing Ltd.CrossRefGoogle Scholar
Leicht, E. A. & D'Souza, R. M. (2009). Percolation on interacting networks. arXiv:0907.0894.Google Scholar
Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Lospinoso, J. A., & Snijders, T. A. B. (2011). Goodness of Fit for Social Network Dynamics. Paper presented at the Sunbelt XXXI, St. Pete's beach, Florida, USA.Google Scholar
Mahalanobis, P. C. (1936). On the generalised distance in statistics. Proceedings of the National Institute of Sciences of India, 2(1), 49–55.Google Scholar
Matous, P., & Todo, Y. (2013). Mobile Phones and Compost in Ethiopia: Reshaping Ecological Learning Networks by Text-Messaging. Paper presented at the XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis, Hamburg, Germany.Google Scholar
Matouš, P., Todo, Y., & Mojo, D. (2012). Roles of extension and ethno-religious networks in acceptance of resource-conserving agriculture among Ethiopian farmers. International Journal of Agricultural Sustainability, 11 (4), 301316.CrossRefGoogle Scholar
Matous, P., Todo, Y., & Mojo, D. (2013). Boots are made for walking: interactions across physical and social space in infrastructure-poor regions. Journal of Transport Geography, 31, 226235.CrossRefGoogle Scholar
Matous, P., Tsuchiya, T., & Ozawa, K. (2011). Farmers' access to resources via networks in remote rural areas with mobile phone reception: Creating a resource battery for a mountain tribe in south India. Rural Society Journal, 20 (2), 174186.CrossRefGoogle Scholar
May, J. D. (2012). Digital and other poverties: Exploring the connection in four east African countries. Information Technologies & International Development, 8 (20), 3350.Google Scholar
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27, 415444.CrossRefGoogle Scholar
Mojo, D., Todo, Y., & Matous, P. (2010). Perception of farmers and agricultural professionals on changes In productivity and water resources in Ethiopia. World Academy of Science, Engineering and Technology, 1 (66), 860868.Google Scholar
Mok, D., & Wellman, B. (2007). Did distance matter before the Internet? Interpersonal contact and support in the 1970s. Social Networks, 29 (3), 430461.CrossRefGoogle Scholar
Molm, L. D., Schaefer, D. R., & Collett, J. L. (2007). The value of reciprocity. Social Psychology Quarterly, 70 (2), 199217.CrossRefGoogle Scholar
Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328 (5980), 876878.CrossRefGoogle ScholarPubMed
Onnela, J.-P., Saramäki, J., Hyvönen, J., Szabó, G., Lazer, D., Kaski, K., . . . Barabási, A.-L. (2007). Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences, 104(18), 7332–7336.Google Scholar
Ostrom, E., (1990). Governing the commons: the evolution of institutions for collective action. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Overå, R. (2006). Networks, distance, and trust: Telecommunications development and changing trading practices in Ghana. World Development, 34 (7), 13011315.CrossRefGoogle Scholar
Peters, O., & Allouch, S. B. (2005). Always connected: A longitudinal field study of mobile communication. Telematics and Informatics, 22 (3), 239256.CrossRefGoogle Scholar
Pretty, J., Toulmin, C., & Williams, S., (2011). Sustainable intensification in African agriculture. International Journal of Agricultural Sustainability, 9 (1), 524.CrossRefGoogle Scholar
Putnam, R. (2000). Bowling alone. New York, USA: Simon and Schuster.CrossRefGoogle Scholar
Ripley, R., Snijders, T. A. B., & Preciado, P. (2012). Manual for SIENA version 4. Oxford, UK: University of Oxford.Google Scholar
Robins, G., & Pattison, P. (2006). Multiple Networks in Organizations. Retrieved on 25 June 2012 from http://www.sna.unimelb.edu.au/publications/multiple_networks.pdf.Google Scholar
Rodriguez, M. A., & Shinavier, J. (2010). Exposing multi-relational networks to single-relational network analysis algorithms. Journal of Informetrics, 4 (1), 2941.CrossRefGoogle Scholar
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, USA: Free Press.Google ScholarPubMed
Schneider, F., Fry, P., Ledermann, T., & Rist, S. (2009). Social learning processes in Swiss soil protection–-The ‘From Farmer - to Farmer' project. Human Ecology, 37 (4), 475489.CrossRefGoogle Scholar
Singer, B. D. (1981). Social functions of the telephone. Palo Alto: R&E Research Associates, Inc.Google Scholar
Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics. Sociological Methodology, 31 (1), 361395.CrossRefGoogle Scholar
Snijders, T. A. B., Lomi, A. & Torló, V. J. (2013). A model for the multiplex dynamics of two-mode and one-mode networks, with an application to employment preference, friendship, and advice. Social Networks, 35 (2), 265276.CrossRefGoogle Scholar
Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32 (1), 4460.CrossRefGoogle Scholar
Solano, C., Leon, H., Perez, E., & Herrero, M. (2003). The role of personal information sources on the decision-making process of Costa Rican dairy farmers. Agricultural Systems, 76 (1), 318.CrossRefGoogle Scholar
Spielman, D. J., Ekboir, J., & Davis, K. (2009). The art and science of innovation systems inquiry: Applications to Sub-Saharan African agriculture. Technology in Society, 31 (4), 399405.CrossRefGoogle Scholar
Steglich, C., Snijders, T. A. B., & Pearson, M. (2010). Dynamic networks and behavior: Separating selection from influence. Sociological Methodology, 40 (1), 329393.CrossRefGoogle Scholar
Szell, M., Lambiotte, R., & Thurner, S. (2010). Multirelational organization of large-scale social networks in an online world. Proceedings of the National Academy of Sciences, 107(31), 13636–13641.Google Scholar
Szell, M., & Thurner, S. (2010). Measuring social dynamics in a massive multiplayer online game. Social Networks, 32 (4), 313329.CrossRefGoogle Scholar
Wang, P., Sharpe, K., Robins, G. L., & Pattison, P. E. (2009). Exponential random graph (p*) models for affiliation networks. Social Networks, 31 (1), 1225.CrossRefGoogle Scholar
Warner, K. D. (2007). Agroecology in action. Cambridge, USA: The MIT Press.Google Scholar
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Wellman, B., & Tindall, D. B. (1993). Reach out and touch some bodies: How social networks connect telephone networks. In Barnett, G. & Richards, W. (Eds.), Progress in communication science, vol. 13 (pp. 6393). Norwood, USA: Ablex.Google Scholar
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