Methicillin-resistant Staphylococcus aureus (MRSA) is an antibiotic-resistant bacterium of epidemiologic importance in Canadian healthcare facilities. The contact between MRSA colonized or infected patients with other patients, healthcare workers (HCWs) and/or the healthcare environment can result in MRSA transmission and healthcare-associated MRSA (HA-MRSA) infections in hospitals. These HA-MRSA infections are linked with increased length of hospital stay, economic burden, morbidity and mortality. Although infection prevention and control programs initiated in 2009 in Canada and other developed countries (e.g., UK, France, Belgium, Denmark, etc.) have been relatively successful in reducing the rate of HA-MRSA infections, they continue to pose a threat to patients, especially to the more vulnerable in long term care and geriatric institutions. Historically, MRSA was a problem mainly in hospital settings but after mid-1990s new strains of MRSA have been identified among people without healthcare-related risks and have been classified as community-associated MRSA (CA-MRSA). Furthermore, the distinction between HA-MRSA and CA-MRSA strains is gradually waning due to both the introduction of HA-MRSA in communities, and the emergence of CA-MRSA strains in hospitals. The purpose of this thesis was to explore the feasibility of constructing healthcare networks to evaluate the role of healthcare providers (e.g., physicians) and places (e.g., patient rooms) in the transmission of MRSA in a large tertiary care facility. Method of investigation: a secondary data case-control study, using individual characteristics and network structure measures, conducted at The Ottawa Hospital (TOH) between April 1st, 2013 and March 31th, 2014. Results: It was feasible to build social networks in a large tertiary care facility based on electronic medical records data. The networks' size (represented by the number of vertices and lines) increased during the outbreak period (period 1) compared to the pre-outbreak period (period 0) for both groups and at all three TOH campuses. The calculated median degree centrality showed significant increase in value for both study groups during period 1 compared to period 0 for two of the TOH campuses (Civic and General). There was no significant difference between the median degree centrality calculated for each study group at the Heart Institute when compared for the two reference periods. The median degree centrality of the MRSA case group for period 0 showed no significant difference when compared to the same measure determined for the control group for all three TOH campuses. However, the median degree centrality calculated for period 1 was significantly increased for the control group compared to the MRSA case group for two TOH campuses (Civic and General) but showed no significant difference between the two groups from the Heart Institute. In addition, there was a correlation between the two network measures (degree centrality and eigenvector centrality) calculated to determine the most influential person or place in the MRSA case group networks. However, there was no correlation between the two network’s measures calculated for physicians included in MRSA case group networks. Conclusions: It is feasible to use social network analysis as an epidemiologic analysis tool to characterize the MRSA transmission in a hospital setting. The network's visible changes between the groups and reference periods were reflected by the network measures and supported also by known hospital patient movements after the outbreak onset. Furthermore, we were able to identify potential source cases and places just prior of the outbreak start. Unfortunately, we were not able to show the role of healthcare workers in MRSA transmission in a hospital setting due to limitations in data collection and network measure chosen (eigenvector centrality). Further research is required to confirm these study findings.

The thesis is focused on the communication inclusion and exclusivity of Czech journalist on Twitter and how they use conventions of this platform to connect with other users. Through the description of current communication layers and functions of Twitter this thesis depicts how it became one of main sources of news and how it pushed journalists to reinterpret their traditional roles in the society. It also describe how digital humanities and digital trace data gathered from social media can be used as means of analysis of social interactions of its users. The practical part presents a cluster analysis based on Twitter data of 457 Czech journalists that shows how is Twitter used to communicate within and outside the Czech media system.

This interdisciplinary thesis studies the diverse multi-stakeholder networks that are constitutive of contemporary water governance. It examines collaborative governance networks from a relational perspective in two case study watersheds in Tanzania and Ethiopia. Collaborative and networked governance approaches are increasingly promoted to address complex water challenges, but relatively little is known about how the everyday collaborative relationships (i.e. collaboration practices) among the multiple actors involved in the development, management and use of water, shape contemporary water governance processes. In this thesis, I advance, based on intensive fieldwork data collection, a conceptual and methodological framework for studying collaboration networks pertaining to watershed management. I examine local collaborative governance networks in two watersheds, in Ethiopia and Tanzania, from a relational perspective, using complementary qualitative and quantitative social network research methods. The thesis explores the opportunities and limitations of such collaborative governance networks in their concrete functioning, thereby contributing to a more context-sensitive, and nuanced, understanding of the role of governance networks and collaborative governance approaches in the management of water and related resources.

<p>The most important networks from different domains—such as Computing, Organization, Economic, Social, Academic, and Biology—are networks that change over time. For example, in an organization there are email and collaboration networks (e.g., different people or teams working on a document). Apart from the connectivity of the networks changing over time, they can contain attributes such as the topic of an email or message, contents of a document, or the interests of a person in an academic citation or a social network. Analyzing these dynamic networks can be critical in decision-making processes. For instance, in an organization, getting insight into how people from different teams collaborate, provides important information that can be used to optimize workflows.</p> <p><br></p> <p>Network generative models provide a way to study and analyze networks. For example, benchmarking model performance and generalization in tasks like node classification, can be done by evaluating models on synthetic networks generated with varying structure and attribute correlation. In this work, we begin by presenting our systemic study of the impact that graph structure and attribute auto-correlation on the task of node classification using collective inference. This is the first time such an extensive study has been done. We take advantage of a recently developed method that samples attributed networks—although static—with varying network structure jointly with correlated attributes. We find that the graph connectivity that contributes to the network auto-correlation (i.e., the local relationships of nodes) and density have the highest impact on the performance of collective inference methods.</p> <p><br></p> <p>Most of the literature to date has focused on static representations of networks, partially due to the difficulty of finding readily-available datasets of dynamic networks. Dynamic network generative models can bridge this gap by generating synthetic graphs similar to observed real-world networks. Given that motifs have been established as building blocks for the structure of real-world networks, modeling them can help to generate the graph structure seen and capture correlations in node connections and activity. Therefore, we continue with a study of motif evolution in <em>dynamic</em> temporal graphs. Our key insight is that motifs rarely change configurations in fast-changing dynamic networks (e.g. wedges intotriangles, and vice-versa), but rather keep reappearing at different times while keeping the same configuration. This finding motivates the generative process of our proposed models, using temporal motifs as building blocks, that generates dynamic graphs with links that appear and disappear over time.</p> <p><br></p> <p>Our first proposed model generates dynamic networks based on motif-activity and the roles that nodes play in a motif. For example, a wedge is sampled based on the likelihood of one node having the role of hub with the two other nodes being the spokes. Our model learns all parameters from observed data, with the goal of producing synthetic graphs with similar graph structure and node behavior. We find that using motifs and node roles helps our model generate the more complex structures and the temporal node behavior seen in real-world dynamic networks.</p> <p><br></p> <p>After observing that using motif node-roles helps to capture the changing local structure and behavior of nodes, we extend our work to also consider the attributes generated by nodes’ activities. We propose a second generative model for attributed dynamic networks that (i) captures network structure dynamics through temporal motifs, and (ii) extends the structural roles of nodes in motifs to roles that generate content embeddings. Our new proposed model is the first to generate synthetic dynamic networks and sample content embeddings based on motif node roles. To the best of our knowledge, it is the only attributed dynamic network model that can generate <em>new</em> content embeddings—not observed in the input graph, but still similar to that of the input graph. Our results show that modeling the network attributes with higher-order structures (e.g., motifs) improves the quality of the networks generated.</p> <p><br></p> <p>The generative models proposed address the difficulty of finding readily-available datasets of dynamic networks—attributed or not. This work will also allow others to: (i) generate networks that they can share without divulging individual’s private data, (ii) benchmark model performance, and (iii) explore model generalization on a broader range of conditions, among other uses. Finally, the evaluation measures proposed will elucidate models, allowing fellow researchers to push forward in these domains.</p>

As the focus of over 70 years* of archaeological research, Oaxaca, Mexico, is one of Mesoamerica*s best understood regions. Yet, despite the volume of work in Oaxaca, information about one of its key resource areas, the central Pacific coast, remains limited. Specifically, the ambiguous role of Oaxaca*s Central Coast in interregional relationships during pre-Hispanic times to the sites of Monte Alban and Tututepec has been a chronic problem and major source of debate for decades. The purpose of this thesis is to begin clarifying the role of Oaxaca*s Central Coast in interregional networks and its pre-Hispanic history. Analysis utilized surface observations, surface collections, and information from limited excavations performed by the Proyecto Arqueologico Laguna de Manialtepec (PALM) in the Manialtepec Basin, located on the Central Coast of Oaxaca. The data was then mapped using ArcGIS software to render settlement and artifact patterns. Based on the results of this project I suggest a history of settlement for this area. I also argue that the Basin contained three centers, maintained interregional interactions, and was invaded by the Mixtecs of highland Oaxaca during the Late Postclassic Period (A.D. 1200-1500).

Tesis por compendio / [ES] Las redes sociales han provocado un gran cambio en la manera en la que los eventos deportivos son consumidos en la actualidad, ya que consiguen generar una conversación y ser aglutinadores de un seguimiento que en muchos casos era impensable a través de los medios tradicionales. Tanto para los grandes eventos y los deportes de masas, pero muy especialmente para los deportes minoritarios, también llamados de nicho, todas las acciones en medios digitales cobran gran importancia. En este contexto de medios sociales en el deporte, la red social Twitter genera grandes debates y se posiciona como líder de la conversación en torno a los diferentes temas de actualidad deportivos o para el seguimiento de temas deportivos más específicos. El dinamismo de Twitter se basa en la participación individual, propiciando que diferentes usuarios conduzcan la conversación social gracias a su capacidad de influir. Por ello identificar tanto las dimensiones y variables, como los usuarios con mayor capacidad de generar influencia en esta red social se considera de gran importancia. En nuestra tesis, utilizando de manera combinada dos metodologías como el SNA y el AHP se propone una medida de la influencia en Twitter basada en variables obtenidas de la propia plataforma de Twitter (número de tweets, número de retweets y número de seguidores) y otras calculadas a partir del Análisis de Redes Sociales (outdegree, indegree y PageRank). Para componer este índice se utilizó el Proceso de Jerarquía Analítica, y se analizaron dos ediciones de un evento deportivo de un deporte de nicho: el ciclismo en Pista. Analizando la conversación generada en torno al mundial de Londres 2016 bajo el hashtag oficial #TWC2016, y el mundial de Paises Bajos de 2018 con el hashtag de la ciudad organizadora #Apeldoorn2018 , se constató que la dimensión autoridad formada por las variables número de retweets y pagerank era la que mayor ponderación obtuvo, un 62%, frente a la popularidad con un 29% y la actividad con un 8,4%. Además se consiguió identificar a los usuarios más influyentes de cada uno de los eventos, concluyendo que las cuentas con mayor influencia en Twitter eran las relacionadas con los deportistas participantes y organización del evento. En los eventos se pudo comprobar la importancia de la participación de los organizadores en la conversación generada, ya que en el evento de Londres, donde el perfil organizador fue uno de los más influyentes fueron más de 55.000 los tweets registrados, frente a los 19.000 de Apeldoorn, donde el organizador ocupó posiciones muy inferiores en este ranking de la influencia. Nuestra investigación adquiere gran importancia en esta área de los deportes de nicho, ya que puede resultar de gran interés para el estudio de la dependencia y origen cultural y geográfico de los deportes de nicho, y cómo posibles organizaciones pueden identificar las cuentas más influyentes que pueden redundar positivamente en la generación de menciones y beneficios para posibles patrocinadores. De hecho en nuestra tesis se refleja la creación de diferentes clusters geográficos en torno a los deportistas de un mismo país, y la importancia de determinados perfiles para ampliar el tamaño de estos grupos. / [CA] Les xarxes socials han provocat un gran canvi en la manera com els esdeveniments esportius són consumits actualment, ja que aconsegueixen generar una conversa i ser aglutinadors d'un seguiment que en molts casos era impensable a través dels mitjans tradicionals. Tant per als grans esdeveniments i els esports de masses, però molt especialment per als esports minoritaris, també anomenats de nínxol, totes les accions en mitjans digitals cobren gran importància. En aquest context de mitjans socials a l'esport, la xarxa social Twitter genera grans debats i es posiciona com a líder de la conversa al voltant dels diferents temes d'actualitat esportius o per al seguiment de temes esportius més específics. El dinamisme de Twitter es basa en la participació individual, i propicia que diferents usuaris condueixin la conversa social gràcies a la seva capacitat d'influir. Per això identificar tant les dimensions i les variables com els usuaris amb més capacitat de generar influència en aquesta xarxa social es considera de gran importància. A la nostra tesi, utilitzant de manera combinada dues metodologies com el SNA i l'AHP es proposa una mesura de la influència a Twitter basada en variables obtingudes de la pròpia plataforma de Twitter (nombre de tweets, nombre de retweets i nombre de seguidors) i altres calculades a partir de l'Anàlisi de Xarxes Socials (outdegree, indegree i PageRank). Per compondre aquest índex es va fer servir el AHP i es van analitzar dues edicions d'un esdeveniment esportiu d'un esport de nínxol: el ciclisme de Pista. Analitzant la conversa generada al voltant del mundial de Londres 2016 sota el hashtag oficial #TWC2016, i el mundial de Països Baixos de 2018 amb el hashtag de la ciutat organitzadora #Apeldoorn2018 , es va constatar que la dimensió autoritat formada per les variables nombre de retweets i pagerank era la que més ponderació va obtener, amb un 62%, davant de la popularitat amb 29% i l'activitat amb el 8,4%. A més es va aconseguir identificar els usuaris més influents de cadascun dels esdeveniments, concloent que els comptes amb més influència a Twitter eren aquells relacionats amb els esportistes participants i l'organització de l'esdeveniment. En aquests esdeveniments es va poder comprovar la importància de la participació dels organitzadors en la conversa generada, només a l'esdeveniment de Londres, on el perfil de l'organitzador va ser un dels més influents, es van registrar més de 55.000 tuits, davant dels 19.000 de Apeldoorn , on l'organitzador va ocupar un lloc molt més baix en aquest rànquing de l' influència La nostra recerca adquireix gran importància en aquesta àrea dels esports de nínxol, ja que pot resultar de gran interès per a l'estudi de la dependència i l'origen cultural i geogràfic dels esports de nínxol, i com possibles organitzacions poden identificar els comptes més influents que poden redundar positivament en la generació de mencions i beneficis per a possibles patrocinadors. De fet, la nostra tesi reflecteix la creació de diferents clústers geogràfics al voltant d'esportistes d'un mateix país, i la importància d'alguns perfils per ampliar aquests grups. / [EN] Social networks have caused a great change in the way sporting events are currently consumed. They generate a conversation that in many cases was unthinkable through traditional media. Both for major events and mass sports, but especially for minority sports, also called niche sports, every action in digital media are very important. In this context of social media in sports, the social network Twitter generates great debates and positions itself as the leader of the conversation around the different current sports topics or for the monitoring of more specific sports topics. Twitter's dynamism is based on individual participation, allowing different users to lead the social conversation thanks to their ability to influence. Therefore, identifying both the dimensions and variables, as well as the users with the greatest ability to generate influence in this social network, is considered of great importance. In our thesis, using in a combined way two methodologies such as the SNA and the AHP, a measure of the influence on Twitter is proposed based on variables obtained from the Twitter platform (number of tweets, number of retweets and number of followers) and others calculated from the Social Network Analysis (outdegree, indegree and PageRank). To compose this index, the Analytical Hierarchy Process was used, and two editions of a sporting event of a niche sport were analyzed: Track cycling. Analyzing the conversation generated around the 2016 London World Championship under the official hashtag #TWC2016, and the 2018 Netherlands World Championship with the organizing city's hashtag #Apeldoorn2018 , it was found that the authority dimension formed by the variables number of retweets and pagerank was the one that obtained the highest weight, 62%, compared to popularity with 29% and activity with 8.4%. In addition, it was possible to identify the most influential users of each event, concluding that the accounts with the greatest influence on Twitter were those related to the participating athletes and the organization of the event. In these events, verifying the importance of the participation of the organizers in the generated conversation, was possible, just in the London event, where the organizer profile was one of the most influential, more than 55,000 tweets were registered, compared to 19,000 of Apeldoorn, where the organizer ranked much lower in this ranking of influence. Our research acquires great importance in this area of niche sports, since it can be of great interest for the study of the dependency and cultural and geographical origin of niche sports, and how potential organizations can identify the most influential accounts that can positively result in the generation of mentions and benefits for potential sponsors. In fact, our thesis reflects the creation of different geographical clusters around athletes from the same country, and the importance of some profiles to expand the size of these groups. / Lamirán Palomares, JM. (2022). La influencia en redes sociales durante los eventos deportivos: "Los casos de Twitter en los Mundiales de Ciclismo en Pista de Londres (Reino Unido) 2016, y Apeldoorn (Países Bajos) 2018" [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/190811 / Compendio

Während man sich bislang auf die Gründe für die Entwicklung existierender Cluster konzentrierte, steigt das Interesse an den Prozessen, welche deren Entstehung bewirken. Diese unterscheiden sich jedoch von jenen zusammenhängen, welche ein reifes und dynamisches Cluster kennzeichnen (Bresnahan, Gambardella 2004, S. 842; Henn 2006b). Einige Beispiele haben gezeigt, dass Politik durchaus eine Rolle in der Entwicklung von Clustern spielen kann (z. B. Feldmann et al. 2005, S. 131; Dohse 2000b). Es herrscht jedoch Konsens, dass eine direkte Steuerung und Initiierung von Clustern „wishful thinking“ bleiben muss (Enright 2003, S. 104; Rosenfeld et al. 2006). Indes zeigen sich unternehmerische Akteure im Umfeld von Forschungseinrichtungen bevorteilt, wissenschaftliche Erkenntnisse in neuen Technologiefeldern zu verwerten. In jüngerer Zeit werden deshalb regionalisierte Innovationspolitiken implementiert, welche diesen Prozess unterstützen sollen. Über die Wirkungsweise und die Effekte einer solchen räumlich fokussierten Politik herrscht bislang jedoch noch Unklarheit (Raines 2002b, S. 8; Fromhold-Eisebith, Eisebith 2005, S. 1251; Kiese 03.10.2007). Diese Fragestellungen aufgreifend werden in der vorliegenden Arbeit anhand der Fallbeispiele Dresden und Leipzig die Prozesse der Clusterentstehung im Technologiebereich der Biotechnologie vor dem Hintergrund der Post-Transformationsphase Ostdeutschlands analysiert. Zudem wird die umfangreiche, regionalisierte Innovationspolitik des Freistaates Sachsen hinsichtlich ihres Beitrages bei der Clusterentstehung untersucht. Mit diesem Untersuchungsansatz wird ein Beitrag zur noch jungen Diskussion der Clusterentstehung geleistet sowie Einblick in die Wirkungsmöglichkeiten regionalisierter Innovationspolitik gegeben. Auf der Grundlage der theoretischen Diskussion zu Clustern und regionalisierter Innovationspolitik wird ein Untersuchungsmodell abgeleitet, welches sich an den multidimensionalen Analyserahmen Bathelts anlehnt (Bathelt 2002) und um die von Henn diskutierten Entstehungsdimensionen Ansiedlung, Lernen und Gründung erweitert (Henn 2006b). Schwerpunkt der empirischen Analyse ist ein Mix aus leitfadengestützten Interviews und quantitativer Analyse sozialer Netzwerke. Bei der Analyse zeigt sich, dass „klassische“ Erklärungsmuster zur Clusterentstehung teilweise auf Prozesse hinweisen, die sich so nicht feststellen lassen. Als wesentlich erweisen sich vor allem Gründungs- und Ansiedlungsprozesse. Zu ihrer Erklärung kann jedoch kaum auf einfache Standortfaktoren zurückgegriffen werden, vielmehr müssen Forschernetzwerke zur Erklärung herangezogen werden. Bei der Analyse der Effekte der regionalisierten Innovationspolitik zeigt sich, dass die Wirksamkeit maßgeblich von der Gestaltbarkeit und Anpassung der Politik an sich ändernde Governancebedingungen abhängt. Dies betrifft sowohl das regionale technologische Umfeld als auch die Region im Allgemeinen. Daneben 243 ist die Unterstützung der Erzeugung materieller Vorraussetzungen u. a. für den Erfolg von Ausgründungen, Ansiedlungen sowie von unternehmerischen Lernprozessen relevant. Diese müssen jedoch in flexible Strukturen eingebettet werden, die es zu entwickeln gilt. Dafür werden am Ende der Arbeit Handlungsempfehlungen aufgezeigt. / While focussing on the development of existing clusters there is a growing interest in those processes which lead to the emergence of clusters. Those differ from these ones which are typical for a ripe cluster (Bresnahan, Gambardella 2004, p. 842; Henn 2006). Several cases show that policy has an impact on the development of a cluster (z.B. Feldmann et al. 2005, p. 131; Dohse 2000). Though there is a consensus that wishing to stear or initiate a cluster is „wishful thinking“ (Enright 2003, p. 104; Rosenfeld et al. 2006). Entrepreneurs in the surrounding of research institutions are in an advantage commercialising knowledge in new technology fields. This is why regionalised innovation policies are implemented recently, which aim to support this process. The effects and mechanisms of such a spatially focused policy have yet to be clarified (Raines 2002, p. 8; Fromhold-Eisebith, Eisebith 2005, p. 1251; Kiese 3. Oktober 2007). Taking up this question in this thesis the process of emerging clusers is analysed in the field of biotechnology for the cases of Dresden and Leipzig under conditions of post-transformation in Eastern Germany. Further the influence of the complex, regionalised innovation policy of the Free State of Saxony is studied concerning the emgergence of clusters. The aim is to contribute to the discussion on emerging clusters as well as to point out the impact regionalised innovation policy can have. A research model is deduced from theoretical discussion on clusters and regionalised innovation policy. It refers to the multidimensional model of Bathelt (Bathelt 2002) and the relevant dimensions for the emergence process, settlements, learning and founding (Henn 2006). To implement this model among others a mix of semi-structured interviews and social network analysis is used. The analysis shows that “classical” explanations for emerging clusters can not be verified. Founding and settling processes of enterprises seem to be most important. A simple location factor based explanation does not give satisfying answers. Explanations have to take researcher-entrepreneurial networks into account. The analysis shows that the impact of regionalised innovation policy depends on a continual development and evolution of policy in accordance with a changing governance structure in the regional technological surrounding as in the overall region. Monetary support proves to be favourably for spin offs and settlements as well as for entrepreneurial learning processes. Those have to be embedded in flexible and developing governance structures.

This dissertation examines the political origins of Loyalism in New York City between 1768 and 1778. Anchored by an analysis of political mobilization, this dissertation is structured into two parts. Part I has two chapters. Using a variety of private and public sources, the first chapter analyses how 9,338 mostly white male Loyalists in New York City and the counties of Kings, Queens, Suffolk and Westchester were mobilized. Chapter 1 argues that elites and British forces played a fundamental role in the broad-based mobilization of Loyalists in the province of New York. It also recognises that colonists signed Loyalist documents for many different reasons. The second chapter of Part I is a large-scale prosopographical analysis of the 9,338 identified Loyalists. This analysis was based on a diverse range of sources. This analysis shows that a majority of the province’s Loyalist population were artisans aged between 22 and 56 years of age. Part II of this dissertation examines political mobilization in New York City between 1768 and 1775. In three chapters, Part II illustrates how elite and non-elite white male New Yorkers coalesced into two distinct groups. Chapter 3 concentrates on the emergence of the DeLanceys as a political force in New York, Chapter 4 on their mobilization and coalescence into ‘the Friends to Liberty and Trade’, or ‘the Club’, and Chapter 5 examines the political origins of what became Loyalism by studying the social networks of three members of ‘the Club’. By incorporating an interdisciplinary methodology, Part II illustrates that members of ‘the Club’ developed ties with one another that transcended their political origins. It argues that the partisanship of New York City led members of ‘the Club’ to adopt inward-looking characteristics that affected who they interacted with on an everyday basis. A large proportion of ‘the Club’’s members became Loyalists in the American Revolution. This dissertation argues that it was the partisanship that they developed during the late 1760s and early 1770s that defined their allegiance.

Während man sich bislang auf die Gründe für die Entwicklung existierender Cluster konzentrierte, steigt das Interesse an den Prozessen, welche deren Entstehung bewirken. Diese unterscheiden sich jedoch von jenen zusammenhängen, welche ein reifes und dynamisches Cluster kennzeichnen (Bresnahan, Gambardella 2004, S. 842; Henn 2006b). Einige Beispiele haben gezeigt, dass Politik durchaus eine Rolle in der Entwicklung von Clustern spielen kann (z. B. Feldmann et al. 2005, S. 131; Dohse 2000b). Es herrscht jedoch Konsens, dass eine direkte Steuerung und Initiierung von Clustern „wishful thinking“ bleiben muss (Enright 2003, S. 104; Rosenfeld et al. 2006). Indes zeigen sich unternehmerische Akteure im Umfeld von Forschungseinrichtungen bevorteilt, wissenschaftliche Erkenntnisse in neuen Technologiefeldern zu verwerten. In jüngerer Zeit werden deshalb regionalisierte Innovationspolitiken implementiert, welche diesen Prozess unterstützen sollen. Über die Wirkungsweise und die Effekte einer solchen räumlich fokussierten Politik herrscht bislang jedoch noch Unklarheit (Raines 2002b, S. 8; Fromhold-Eisebith, Eisebith 2005, S. 1251; Kiese 03.10.2007). Diese Fragestellungen aufgreifend werden in der vorliegenden Arbeit anhand der Fallbeispiele Dresden und Leipzig die Prozesse der Clusterentstehung im Technologiebereich der Biotechnologie vor dem Hintergrund der Post-Transformationsphase Ostdeutschlands analysiert. Zudem wird die umfangreiche, regionalisierte Innovationspolitik des Freistaates Sachsen hinsichtlich ihres Beitrages bei der Clusterentstehung untersucht. Mit diesem Untersuchungsansatz wird ein Beitrag zur noch jungen Diskussion der Clusterentstehung geleistet sowie Einblick in die Wirkungsmöglichkeiten regionalisierter Innovationspolitik gegeben. Auf der Grundlage der theoretischen Diskussion zu Clustern und regionalisierter Innovationspolitik wird ein Untersuchungsmodell abgeleitet, welches sich an den multidimensionalen Analyserahmen Bathelts anlehnt (Bathelt 2002) und um die von Henn diskutierten Entstehungsdimensionen Ansiedlung, Lernen und Gründung erweitert (Henn 2006b). Schwerpunkt der empirischen Analyse ist ein Mix aus leitfadengestützten Interviews und quantitativer Analyse sozialer Netzwerke. Bei der Analyse zeigt sich, dass „klassische“ Erklärungsmuster zur Clusterentstehung teilweise auf Prozesse hinweisen, die sich so nicht feststellen lassen. Als wesentlich erweisen sich vor allem Gründungs- und Ansiedlungsprozesse. Zu ihrer Erklärung kann jedoch kaum auf einfache Standortfaktoren zurückgegriffen werden, vielmehr müssen Forschernetzwerke zur Erklärung herangezogen werden. Bei der Analyse der Effekte der regionalisierten Innovationspolitik zeigt sich, dass die Wirksamkeit maßgeblich von der Gestaltbarkeit und Anpassung der Politik an sich ändernde Governancebedingungen abhängt. Dies betrifft sowohl das regionale technologische Umfeld als auch die Region im Allgemeinen. Daneben 243 ist die Unterstützung der Erzeugung materieller Vorraussetzungen u. a. für den Erfolg von Ausgründungen, Ansiedlungen sowie von unternehmerischen Lernprozessen relevant. Diese müssen jedoch in flexible Strukturen eingebettet werden, die es zu entwickeln gilt. Dafür werden am Ende der Arbeit Handlungsempfehlungen aufgezeigt. / While focussing on the development of existing clusters there is a growing interest in those processes which lead to the emergence of clusters. Those differ from these ones which are typical for a ripe cluster (Bresnahan, Gambardella 2004, p. 842; Henn 2006). Several cases show that policy has an impact on the development of a cluster (z.B. Feldmann et al. 2005, p. 131; Dohse 2000). Though there is a consensus that wishing to stear or initiate a cluster is „wishful thinking“ (Enright 2003, p. 104; Rosenfeld et al. 2006). Entrepreneurs in the surrounding of research institutions are in an advantage commercialising knowledge in new technology fields. This is why regionalised innovation policies are implemented recently, which aim to support this process. The effects and mechanisms of such a spatially focused policy have yet to be clarified (Raines 2002, p. 8; Fromhold-Eisebith, Eisebith 2005, p. 1251; Kiese 3. Oktober 2007). Taking up this question in this thesis the process of emerging clusers is analysed in the field of biotechnology for the cases of Dresden and Leipzig under conditions of post-transformation in Eastern Germany. Further the influence of the complex, regionalised innovation policy of the Free State of Saxony is studied concerning the emgergence of clusters. The aim is to contribute to the discussion on emerging clusters as well as to point out the impact regionalised innovation policy can have. A research model is deduced from theoretical discussion on clusters and regionalised innovation policy. It refers to the multidimensional model of Bathelt (Bathelt 2002) and the relevant dimensions for the emergence process, settlements, learning and founding (Henn 2006). To implement this model among others a mix of semi-structured interviews and social network analysis is used. The analysis shows that “classical” explanations for emerging clusters can not be verified. Founding and settling processes of enterprises seem to be most important. A simple location factor based explanation does not give satisfying answers. Explanations have to take researcher-entrepreneurial networks into account. The analysis shows that the impact of regionalised innovation policy depends on a continual development and evolution of policy in accordance with a changing governance structure in the regional technological surrounding as in the overall region. Monetary support proves to be favourably for spin offs and settlements as well as for entrepreneurial learning processes. Those have to be embedded in flexible and developing governance structures.

Social network development has been studied in the social sciences for the last several decades, but little work has applied social network theory to study-abroad research. This study seeks to quantitatively describe factors that predict social network formation among study-abroad students while in the host countries. Social networks were measured in terms of the number of friends the students made, the number of distinct social groups reported, and the number of friends within those groups. The Study Abroad Social Interaction Questionnaire was compared against these pre-trip factors: intercultural competence, target-language proficiency, prior missionary experience, gender, study-abroad program, neuroticism, extroversion, agreeableness, openness to new experience, agreeableness, and conscientiousness. Results showed that pre-trip oral proficiency in the target language was the strongest predictor of the number of friends made in-country. Certain programs showed stronger predictive statistics in terms of size of largest social group, number of social groups, and number of friends made. A distinction is made between total number of friends and number of friends who are more likely to be native speakers. Neither intercultural competence nor personality showed a significant correlation with the number of friendships made during study abroad.