ABSTRACT
Industrial events and exhibitions play a powerful role in creating social relations amongst individuals and firms, enabling them to expand their social network so to acquire resources. However, often these events impose a spatial structure which impacts encounter opportunities. In this paper, we study the impact that the spatial configuration has on the formation of network relations. We designed, developed and deployed a Wi-Fi analytics solution comprising of wearable Wi-Fi badges and gateways in a large scale industrial exhibition event to study the spatio-temporal trajectories of the 2.5K+ attendees including two special groups: 34 investors and 27 entrepreneurs. Our results suggest that certain zones with designated functionalities play a key role in forming social ties across attendees and the different behavioural properties of investors and entrepreneurs can be explained through a spatial lens. Based on our findings we offer three concrete recommendations for future organisers of networking events.
- Suresh Bhagavatula, Tom Elfring, Aad van Tilburg, and Gerhard G. van de Bunt. 2010. How social and human capital influence opportunity recognition and resource mobilization in India's handloom industry. Journal of Business Venturing 25, 3 (2010), 245--260.Google ScholarCross Ref
- Ulf Blanke, Tobias Franke, Gerhard Tröster, and Paul Lukowicz. 2014. Capturing crowd dynamics at large scale events using participatory GPS-localization. In Proceedings of the 9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing. 1--7.Google ScholarCross Ref
- Peter Michael Blau. 1977. Inequality and Heterogeneity: A Primitive Theory of Social Structure. MACMILLAN Company.Google Scholar
- Stephen P. Borgatti and Daniel S. Halgin. 2011. Analyzing Affiliation Networks. In The Sage Handbook of Social Network Analysis, John Scott and Peter J. Carrington (Eds.). SAGE Publications Ltd, London, 417--433.Google Scholar
- Tina Bratkovic, Bostjan Antoncic, and Mitja Ruzzier. 2009. Strategic utilization of entrepreneur's resource-based social capital and small firm growth. Journal of Management & Organization 15, 04 (2009), 486--499.Google ScholarCross Ref
- Leo Breiman. 2001. Random Forests. Machine Learning 45, 1 (Oct. 2001), 5--32. Google ScholarDigital Library
- Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo, James Scott, and Peter Key. 2014. The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 811--822. Google ScholarDigital Library
- Xiang Chen, Yiran Chen, Mian Dong, and Charlie Zhang. 2014. Demystifying Energy Usage in Smartphones. In Proceedings of the 51st Annual Design Automation Conference. 1--5. Google ScholarDigital Library
- Yohan Chon, Suyeon Kim, Seungwoo Lee, Dongwon Kim, Yungeun Kim, and Hojung Cha. 2014. Sensing WiFi packets in the air: practicality and implications in urban mobility monitoring. In Proceedings of the International Joint Conference on Pervasive and Ubiquitous Computing. 189--200. Google ScholarDigital Library
- Donna Cox, Volodymyr V. Kindratenko, and David Pointer. 2003. IntelliBadgeTM: Towards Providing Location-Aware Value-Added Services at Academic Conferences. In Porceedings of the 5th International Conference on Ubiquitous Computing. 264--280.Google ScholarCross Ref
- Justin Cranshaw, Eran Toch, Jason Hong, Aniket Kittur, and Norman Sadeh. 2010. Bridging the Gap Between Physical Location and Online Social Networks. In Proceedings of the 12th ACM International Conference on Ubiquitous Computing. 119--128. Google ScholarDigital Library
- Per Davidsson and Benson Honig. 2003. The role of social and human capital among nascent entrepreneurs. Journal of Business Venturing 18, 3 (2003), 301--331.Google ScholarCross Ref
- Nathan Eagle and Alex Sandy Pentland. 2009. Eigenbehaviors: Identifying structure in routine. Behavioral Ecology and Sociobiology 63, 7 (2009), 1057--1066.Google ScholarCross Ref
- Tom Elfring and Willem Hulsink. 2003. Networks in entrepreneurship: The case of high-technology firms. Small business economics 21, 4 (2003), 409--422.Google Scholar
- Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, and Fahim Kawsar. 2016. BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. In Proceedings of The 14th ACM International Conference on Mobile Systems, Applications, and Services. 97--110. Google ScholarDigital Library
- Katherine Faust. 1997. Centrality in affiliation networks. Social Networks 19, 2 (1997), 157 -- 191.Google ScholarCross Ref
- Julien Freudiger. 2015. How Talkative is Your Mobile Device?: An Experimental Study of Wi-Fi Probe Requests. In Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks. 8:1--8:6. Google ScholarDigital Library
- Yoav Freund and Robert E. Schapire. 1996. Experiments with a New Boosting Algorithm. In Proceedings of the 13th International Conference on Machine Learning (ICML 1996). 148--156.Google Scholar
- Roy Friedman, Alex Kogan, and Yevgeny Krivolapov. 2013. On Power and Throughput Tradeoffs of WiFi and Bluetooth in Smartphones. IEEE Transactions on Mobile Computing 12, 7 (2013), 1363--1376. Google ScholarDigital Library
- Erving Goffman. 1961. Encounters: Two studies in the sociology of interaction. Bobbs-Merrill.Google Scholar
- Jeffrey Hightower and Gaetano Borriello. 2001. Location Systems for Ubiquitous Computing. Computer 34, 8 (Aug. 2001), 57--66. Google ScholarDigital Library
- Pan Hui, Augustin Chaintreau, James Scott, Richard Gass, Jon Crowcroft, and Christophe Diot. 2005. Pocket Switched Networks and Human Mobility in Conference Environments. In Proceedings of the 2005 ACM SIGCOMM Workshop on Delay-tolerant Networking. 244--251. Google ScholarDigital Library
- Paul Ingram and Michael W Morris. 2007. Do People Mix at Mixers? Structure, Homophily, and the "Life of the Party". Administrative Science Quarterly 52, 4 (2007), 558--585.Google ScholarCross Ref
- Shuja Jamil, Anas Basalamah, Ahmed Lbath, and Moustafa Youssef. 2015. Hybrid Participatory Sensing for Analyzing Group Dynamics in the Largest Annual Religious Gathering. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 547--558. Google ScholarDigital Library
- Vassilis Kostakos, Eamonn O'Neill, Alan Penn, George Roussos, and Dikaios Papadongonas. 2010. Brief Encounters: Sensing, Modeling and Visualizing Urban Mobility and Copresence Networks. ACM Trans. Computer-Human Interaction 17, 1, Article 2 (2010), 2:1--2:38 pages. Google ScholarDigital Library
- Joseph Lampel and Alan D Meyer. 2008. Field-Configuring Events as Structuring Mechanisms: How Conferences, Ceremonies, and Trade Shows Constitute New Technologies, Industries, and Markets. Journal of Management Studies 45, 6 (2008), 1025--1035.Google ScholarCross Ref
- Nicholas D Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, and Andrew T Campbell. 2010. A survey of mobile phone sensing. Communications Magazine, IEEE 48, 9 (2010), 140--150. Google ScholarDigital Library
- Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, and Rasmus Theodorsen. 2013. Crowds, Bluetooth, and Rock'N'Roll: Understanding Music Festival Participant Behavior. In Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia. 11--18. Google ScholarDigital Library
- Hui Liu, H. Darabi, P. Banerjee, and Jing Liu. 2007. Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 37, 6 (Nov 2007), 1067--1080. Google ScholarDigital Library
- Afra Mashhadi, Akhil Mathur, Marc Van Den Broeck, Geert Vanderhulst, Marc Godon, and Fahim Kawsar. 2016. A Case Study on Capturing and Visualising Face-to-Face Interactions in the Workplace. Proceeding of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (2016). Google ScholarDigital Library
- Miller McPherson and Lynn Smith-Lovin. 1987. Homophily in voluntary organizations: Status distance and the composition of face-to-face groups. American sociological review (1987), 370--379.Google Scholar
- Miller McPherson, Lynn Smith-Lovin, and James M Cook. 2001. Birds of a feather: Homophily in social networks. Annual review of sociology (2001), 415--444.Google Scholar
- Raul Montoliu and Daniel Gatica-Perez. 2010. Discovering Human Places of Interest from Multimodal Mobile Phone Data. In Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia. 1--10. Google ScholarDigital Library
- A. B. M. Musa and Jakob Eriksson. 2012. Tracking Unmodified Smartphones Using Wi-fi Monitors. In Proceedings of the 10th Conference on Embedded Network Sensor Systems. 281--294. Google ScholarDigital Library
- Janine Nahapiet and Sumantra Ghoshal. 1998. Social capital, intellectual capital, and the organizational advantage. Academy of management review 23, 2 (1998), 242--266.Google ScholarCross Ref
- Eamonn O'Neill, Vassilis Kostakos, Tim Kindberg, Ava Fatah gen. Schieck, Alan Penn, Danae Stanton Fraser, and Tim Jones. 2006. Instrumenting the City: Developing Methods for Observing and Understanding the Digital Cityscape. In Porceedings of the 8th International Conference on Ubiquitous Computing. 315--332. Google ScholarDigital Library
- Daniel Roggen, Martin Wirz, Gerhard Tröster, and Dirk Helbing. 2011. Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods. Networks and Heterogeneous Media 6, 3 (2011), 521--544.Google ScholarCross Ref
- Bernhard Schölkopf and Alexander J. Smola. 2001. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press. Google ScholarDigital Library
- Wouter Stam. 2010. Industry event participation and network brokerage among entrepreneurial ventures. Journal of Management Studies 47, 4 (2010), 625--653.Google ScholarCross Ref
- Wouter Stam, Souren Arzlanian, and Tom Elfring. 2014. Social capital of entrepreneurs and small firm performance: A meta-analysis of contextual and methodological moderators. Journal of Business Venturing 29, 1 (2014), 152--173.Google ScholarCross Ref
- Hendrik Stange, Thomas Liebig, Dirk Hecker, Gennady Andrienko, and Natalia Andrienko. 2011. Analytical Workflow of Monitoring Human Mobility in Big Event Settings Using Bluetooth. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness. 51--58. Google ScholarDigital Library
- Geert Vanderhulst, Afra Mashhadi, Marzieh Dashti, and Fahim Kawsar. 2015. Detecting human encounters from WiFi radio signals. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia. 97--108. Google ScholarDigital Library
- Mathias Versichele, Tijs Neutens, Matthias Delafontaine, and Nico Van de Weghe. 2012. The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: a case study of the Ghent Festivities. Applied Geography 32, 2 (2012), 208--220.Google ScholarCross Ref
- Duncan J Watts. 1999. Small worlds: the dynamics of networks between order and randomness. Princeton university press. Google ScholarDigital Library
- Jens Weppner and Paul Lukowicz. 2013. Bluetooth based collaborative crowd density estimation with mobile phones. In Pervasive Computing and Communications (PerCom), 2013 IEEE International Conference on. 193--200.Google ScholarCross Ref
- Giovanni Zanca, Francesco Zorzi, Andrea Zanella, and Michele Zorzi. 2008. Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks. In Proceedings of the workshop on real-world wireless sensor networks. 1--5. Google ScholarDigital Library
- Catherine Zimmer. 1986. Entrepreneurship Through Social Networks. The art and science of entrepreneurship. Ballinger, Cambridge, MA (1986), 3--23.Google Scholar
Index Terms
- Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics
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