Towards A Scale Free Network Approach to Study Organizational Communication Network

In this experiment, we study the scale free network property of an organizational communication network. We used social network analysis methods during organizational crisis period that captures the dynamics of communication networks. We did not find any significant fluctuation between the actor prominence in daily and aggregated networks. We found that email communication network displays a high degree of scale free behavior described by power law

Advances to network analysis theories and methods with applications in social, organizational, and crisis settings

This dissertation proposes several solutions to the advancement of network analysis theories and methods with specific applications in the domains of social, organizational, and crisis scenarios. The field of network analysis has attracted interest from scholars coming from a wide range of disciplines as it provides valuable theoretical and methodological toolkits to investigate complex systems of social relations. Furthermore, network theories and methods can examine dynamics present at multiple levels of analysis, from individual- to global-levels. As a result, network analysis has been applied to various contexts of social science research such as social interactions, organizational communication, and crisis response collaboration. In this thesis, I present substantive insights into the application of several network analysis theories and applications to the (1) social, (2) organizational, and (3) crisis response settings. For the context of social interactions, I expand structural balance evaluation to signed and directed networks, and apply this approach to examine 12 social networks. For the context of organizational communication, I demonstrate the application of multilevel modeling for egocentric networks to examine factors associated with the formation of interdisciplinary ties in a scientific organization. In addition, I leverage an extended version of structural balance evaluation for signed and directed networks to examine the sources of tension present in three organizational networks. Third, I provide a case study of response dynamics during the 2010 Haiti earthquake by examining collaboration networks prescribed by national guidelines for response, and interaction networks of the actual collaborations that took place during the earthquake response. Altogether, this work contributes to the growing literature on the theories and applications of network analysis to real-world social networks. In particular, the study designs and findings developed in this thesis can provide a framework for network-based studies from many domains of interest, that includes components of network theories and methods that can help explain the social mechanisms involved in tie formation

What lies beneath? The role of informal and hidden networks in the management of crises

Crisis management research traditionally focuses on the role of formal communication networks in the escalation and management of organisational crises. Here, we consider instead informal and unobservable networks. The paper explores how hidden informal exchanges can impact upon organisational decision-making and performance, particularly around inter-agency working, as knowledge distributed across organisations and shared between organisations is often shared through informal means and not captured effectively through the formal decision-making processes. Early warnings and weak signals about potential risks and crises are therefore often missed. We consider the implications of these dynamics in terms of crisis avoidance and crisis management

The Transformation of Trust in China’s Alternative Food Networks: Disruption, Reconstruction, and Development

Food safety issues in China have received much scholarly attention, yet few studies systematically examined this matter through the lens of trust. More importantly, little is known about the transformation of different types of trust in the dynamic process of food production, provision, and consumption. We consider trust as an evolving interdependent relationship between different actors. We used the Beijing County Fair, a prominent ecological farmers’ market in China, as an example to examine the transformation of trust in China’s alternative food networks. We argue that although there has been a disruption of institutional trust among the general public since 2008 when the melamine-tainted milk scandal broke out, reconstruction of individual trust and development of organizational trust have been observed, along with the emergence and increasing popularity of alternative food networks. Based on more than six months of fieldwork on the emerging ecological agriculture sector in 13 provinces across China as well as monitoring of online discussions and posts, we analyze how various social factors—including but not limited to direct and indirect reciprocity, information, endogenous institutions, and altruism—have simultaneously contributed to the transformation of trust in China’s alternative food networks. The findings not only complement current social theories of trust, but also highlight an important yet understudied phenomenon whereby informal social mechanisms have been partially substituting for formal institutions and gradually have been building trust against the backdrop of the food safety crisis in China

The Ambivalent Role of Mimetic Behaviors in Proximity Dynamics: Evidences on the French “Silicon Sentier”

This articles examines the peculiar role of mimetic behaviors in co-location processes. We start showing that geographical proximity between agents and/or firms is not a sufficient nor necessary condition for the collective performance of clusters. Other types of socio-economic proximities characterize clusters, and our purpose is to show that, among the several ways to analyze the complex links between proximities and clusters, the theoretical outlook on the role played by mimetic interactions in co-location processes are certainly one of the most promising. Mimetic behaviors of location (in economics and sociology) are introduced in order to demonstrate that co-location processes can be the result of sequentiality, uncertainty, legitimacy and non market interactions, rather than full rational and isolated decisions and pure strategic market interactions. According to the type of mimetic behavior at work in the clustering process, the nature of socio-economic proximity can differ and have a strong influence of the “evolutionary stability” of clusters. All these theoretical considerations are illustrated through the emblematic French case of “Silicon Sentier”, cluster which has gathered together three hundred firms of the French net-economy (the famous “dotcom”) during the Internet bubble swelling.cluster, mimetic interactions, proximity, stability, Silicon Sentier

Dynamics of High-Technology Firms in the Silicon Valley

The pace of technological innovation since World War II is dramatically accelerating following the commercial exploitation of the Internet. Since the mid 90’s fiber optics capacity (infrastructure for transmission of information including voice and data) has incremented over one hundred times thanks to a new technology, dense wave division multiplexing, and Internet traffic has increased over 1.000 times. The dramatic advances in information technology provide excellent examples of the critical relevance of the knowledge in the development of competitive advantages. The Silicon Valley (SV) that about fifty years ago was an agricultural region became the center of dramatic technological and organizational transformations. In fact, most of the present high-tech companies did not exist twenty years ago. Venture capital contribution to the local economy is quite important not only due to the magnitude of the financial investment (venture investment in SV during 2000 surpassed 25.000 millions of dollars) but also because the extent and quality of networks (management teams, senior employees, customers, providers, etc.) that bring to emerging companies. How do new technologies develop? What is the role of private and public investment in the financing of R&D? Which are the most dynamical agents and how do they interact? How are new companies created and how do they evolve? The discussion of these questions is the focus of the current work.Technological development, R&D, networks

Political power and civil counterpower: the complex dynamics of the Catalan independence movement

Civil pro-independence associations are playing an increasingly significant role in Catalonia’s independence movement, putting pressure on the Catalan government to work decisively towards independence. This has led many Catalans to characterize the movement as a "bottom-up" phenomenon. This contribution analyses the shifting power dynamics within mainstream Catalan nationalism over the last decade, challenging simplistic notions of "top-down" and "bottom-up" pressures for change. In fact, the movement is now inherently multidimensional – partly thanks to the pivotal role of the cultural elites and their grasp of the power of new media – and this in itself accounts in large part for its success

Russian Regions on the Route From Industrial to Network (Russian Realities and Experience of the EU Regions)

This work reflects the results from the cycle of research done in 2001-2004 for 20 Russian regions. At the end of it it was possible to generalize the regularities of the initial stage of transition which were characteristic for the Russian regions on their move from industrial to network model of economic development; compare Russian experience with EU core regions experience (the latter has started this way 20-25 years earlier, in mid-seventies). Typical features of this period are the increasing economic role of support sector and knowledge economy in the regional development, the increasing role of the mobile assets and footloose firms, gradual transformation of the industrial complexes into economic clusters, changes in typology of infrastructural networks (from vertical hierarchy to horizontal grid), etc. Regional authorities in every region abandon previous style of administrative commands and shift to economic coordination with the actors of the regional economy. There are expectations in the Russian regions that this transition will help to overcome economic and environmental limitations of the industrial paradygm which are evident in late Soviet period. The speed, intensity, and vulnerability of these transition are different among northern, central, and southern regions of Russia. Old economic ranks of the Russian regions of the industrial period has changed essentially. Cities-service centers have increased their importance; on the other side, role of big and small industrial cities and settlements have universally decreased. The most painful transformation is characteristic for the big industrial regions like Kuzbass (analogue of the German Ruhr). On the other side oil and gas regions of Russia are passing this transformation in easier way. But each Russian region has its own peculiarities in economy and social sphere which determine the trajectory and speed of transition.