Abstract
Expanding our understanding of ecosystems: This chapter introduces the concept of the Relational Ecosystem. The urban ecosystems, with all its actors of the multiple human and nonhuman types, seen from the point of view of the relations which emerge and form in its daily life. The chapter introduces the concept and moves on to the description of how relations in the city can be discovered, observed, and measured, starting from the types of data and information which can be captured from the various types of actors in the ecosystems (quantitative, qualitative, classification using ontologies and folksonomies, topic and emotion discovery using natural language analysis, topic/emotion networks and their evolution in time, and relational networks and their evolution in time), and the types of relationships which can be described and observed in this perspective (strength and persistence of relations; vertical, horizontal, transversal relations; liminal relations). The chapter ends with an interview with Massimo Canevacci.
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California Institute for Smart Communities (2001). Ten Steps to Becoming a Smart Community. Retrieved from http://www.smartcommunities.org/library_10steps.htm.
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ICT: Information and Communication Technologies.
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For a detailed technical and technological description of the techniques used we suggest to look up our “Urban Acupuncture in the Era of Ubiquitous Media.”, which contains very detailed descriptions of the algorithms, software tools and instrumentation which we use for this process. You can look it up in the references at the end of the book, or grab it on our website at http://www.human-ecosystems.com.
References
Bell GG, Zaheer A (2007) Geography, networks, and knowledge flow. Organ Sci 18(6):955–972
Borgatti SP (2011) On network theory. Organ Sci 22:1168–1181
Borgatti SP, Cross R (2003) A relational view of information seeking and learning in social networks. Manage Sci 49:432–445
Braczyk HJ, Cooke P, Heidenreich M (1997) Regional innovation systems. UCL Press, London
Cooke P, Morgan K (1998) The associational economy. Oxford University Press, Oxford
Dawes PL (2003) A model of the effects of technical consultants on organizational learning in high-technology purchase situations. J High Technol Manage Res 2003(1):1–20
Droege P (1997) Intelligent environments—spatial aspect of the information revolution. Elsevier, Oxford
Freeman JH, Audia PG (2006) Community ecology and the sociology of organizations. Ann Rev Sociol 32:145–169
Glaeser EL, Kallal HD, Scheinkman JA, Shleifer A (1992) Growth in cities. J Polit Econ 100:1126–1152
Glückler J (2013) Knowledge, networks and space: connectivity and the problem of non-interactive learning. SPACES Online, 11(2013-02)
Iaconesi S, Persico O (2014) Urban acupuncture in the era of ubiquitous media. J Community Inf 10(3)
Ishida T, Isbister K (eds) (2000) Understanding digital cities. In: Digital cities: experiences, technologies and future perspectives. Springer, Heidelberg
Jackson MO, Watts A (2002) The evolution of social and economic networks. J Econ Theory 106:265–295
Kaufmann A, Tödtling F (2000) Systems of innovation in traditional industrial regions: the case of Styria in a comparative perspective. Reg Stud 34(1):29–40
Komninos N (2002) Intelligent cities: innovation, knowledge systems and digital spaces. Spon Press, London
Kozinets RV, Belk RW (2006) Netnography 2.0. In: Handbook of qualitative research methods in marketing. Edward Elgar Publishing, Northampton
Krugman P (1991) Geography and trade. MIT Press, Cambridge
Lawson C, Lorenz E (1999) Collective learning, tacit knowledge and regional innovative capacity. Reg Stud 33:305–317
Lundvall BA (1992) National systems of innovation. Towards a Theory of Innovation and Interactive Learning. Francis Pinter, London
Morgan K (2004) The exaggerated death of geography: learning, proximity and territorial innovation systems. J Econ Geogr 4(1):3–21
Nelson RR (1993) National innovation systems. A comparative analysis. Oxford University Press, Oxford
Owen-Smith J, Powell WW (2004) Knowledge networks as channels and conduits: the effects of spillovers in the Boston biotechnology community. Organ Sci 15:5–21
Parkhe A, Wasserman S, Ralston DA (2006) New frontiers in network theory development. Acad Manage Rev 31:560–568
Rokka J (2010) Netnographic inquiry and new translocal sites of the social. Int J Consum Stud 34(4):381–387
Schuler D, Tanabe M, van den Besselaar P, Ishida T (eds) (2002) Digital cities and digital citizens. In: Digital cities II: computational and sociological approaches. Springer, Heidelberg, pp 71–85
Steventon A, Wright S (2006) Intelligent spaces: the application of pervasive ICT. Springer, London
Sydow J, Lerch F, Staber U (2010) Planning for path dependence? The case of a network in the Berlin-Brandenburg optics cluster. Econ Geogr 86:173–195
Whittington KB, Owen-Smith J, Powell WW (2009) Networks, propinquity, and innovation in knowledge-intensive industries. Adm Sci Q 54:90–122
Zaheer A, Gözübüyük R, Milanov H (2010) It’s the connections: the network perspective in interorganizational research. Acad Manag Perspect 24(1):62
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Iaconesi, S., Persico, O. (2017). The Relational Ecosystem in Cities. In: Digital Urban Acupuncture. Springer, Cham. https://doi.org/10.1007/978-3-319-43403-2_6
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