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Dissertations / Theses on the topic 'Endogenous diffusion social networks'

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Published: 14 March 2023
Last updated: 31 July 2025

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1

MUSCILLO, ALESSIO. "Endogenous Diffusion in Social Networks. Two Cases: Infectious Diseases and Sharing of Knowledge." Doctoral thesis, Università di Siena, 2017. http://hdl.handle.net/11365/1059090.

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Complex phenomena arising from the interaction of ``elemental'' pieces have been first studied in physics and biology, where such constitutive particles were given deterministic rules for their behavior. In that context it was already clear that even critical outcomes can result on the aggregate level in situations where agents' behaviors are ``mechanic'' and ``simple''. In recent years, inspired by real-world phenomena, economics and other social sciences have also started to play a role in this very wide strand of research. On the one hand, by introducing degrees of rationality in agents
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2

Bimpikis, Kostas. "Strategic delay and information exchange in endogenous social networks." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62405.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 160-165).<br>This thesis studies optimal stopping problems for strategic agents in the context of two economic applications: experimentation in a competitive market and information exchange in social networks. The economic agents (firms in the first application, individuals in the second) take actions, whose payoffs depend on an unknown underlying state. Our framework is characterized by the fol
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3

Pedersen, Tavis Joseph. "Tracking infection diffusion in social networks." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62557.

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This thesis explores the problem of tracking the diffusion of contagion processes on social networks. Infection (or Information) diffusion is modeled using the Susceptible-Infected-Susceptible (SIS) model. Mean field approximation is employed to approximate the discrete valued infection dynamics by a deterministic ordinary differential equation, thereby yielding a generative model for the infection diffusion. The infection is shown to follow polynomial dynamics and is estimated using an exact non-linear Bayesian filter. We compute posterior Cramer-Rao bounds to obtain the fundamental limits of
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4

Sun, Hongxian, and 孙鸿賢. "Modeling information diffusion in social networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48330127.

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Interpersonal communication with network infrastructure creates mobile and online social networks, which shorten the distance among people. It naturally leads to an important question asking for a clear and detailed description of information dissemination and diffusion process in social networks. An in-depth understanding of the question may help in various aspects,e.g., designing better communication protocols and predicting the demand of hot contents. In the thesis we focus on two concrete sub-questions. The first one is to describe the performance of mobile social networks under the pr
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5

DE, NICOLA ANTONIO. "Diffusion of interests in social networks." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2015. http://hdl.handle.net/2108/202331.

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This thesis provides a model for diusion of interests in Social Networks (SNs). It demonstrates that the topology of the SN plays a crucial role in the dynamics of the individual interests. Understanding cultural phenomena on SNs and exploiting the implicit knowledge about their members is attracting the interest of dierent research communities both from the academic and the business side. The community of complexity science is devoting signicant eorts to dene laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a produ
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Yang, Yile, and 楊頤樂. "Noncooperative information diffusion in online social networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206693.

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Information diffusion in online social networks has received attention in both research and actual applications. The prevalence of online social networking sites offers the possibility of mining for necessary information. However, existing influence maximization algorithms and newly proposed influence diffusion models do not distinguish between seed nodes (or pilot users) and nonseed nodes and assume all nodes are cooperative in propagating influence. This thesis investigates models and heuristics for noncooperative information diffusion in online social networks. It consists of three parts: t
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Marchenko, Maria. "Endogenous Shocks in Social Networks: Exam Failures and Friends' Future Performance." WU Vienna University of Economics and Business, 2019. http://epub.wu.ac.at/7100/1/wp292.pdf.

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Exam failures of the students in a specific network may influence not only the future performance of the student but also all students from their friendship networks, affecting the overall cohort's performance. Therefore, it is crucial to understand how the whole network responses to failure. The difficulty of such analysis is incorporated in the probability of the failures being highly endogenous. In this paper, I am applying the novel identification and estimation approach to deal with such endogeneity. I am exploring the dynamic data on the students' networks in HSE, Nizhniy Novgorod. The r
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Alemayehu, Atsede Ghidey <1986&gt. "Essays on social networks, altruism and information diffusion." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9873/1/Atsede%20Ghidey%20Alemayehu_PhD%20Dissertation%282021%29%20Social%20Networks%20Altruism%20and%20Information%20Diffusion-final%20version.pdf.

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This dissertation consists of three standalone articles that contribute to the economics literature concerning technology adoption, information diffusion, and network economics in one way or another, using a couple of primary data sources from Ethiopia. The first empirical paper identifies the main behavioral factors affecting the adoption of brand new (radical) and upgraded (incremental) bioenergy innovations in Ethiopia. The results highlight the importance of targeting different instruments to increase the adoption rate of the two types of innovations. The second and the third empi
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9

Louzada, Pinto Julio Cesar. "Information diffusion and opinion dynamics in social networks." Thesis, Evry, Institut national des télécommunications, 2016. http://www.theses.fr/2016TELE0001/document.

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La dissémination d'information explore les chemins pris par l'information qui est transmise dans un réseau social, afin de comprendre et modéliser les relations entre les utilisateurs de ce réseau, ce qui permet une meilleur compréhension des relations humaines et leurs dynamique. Même si la priorité de ce travail soit théorique, en envisageant des aspects psychologiques et sociologiques des réseaux sociaux, les modèles de dissémination d'information sont aussi à la base de plusieurs applications concrètes, comme la maximisation d'influence, la prédication de liens, la découverte des noeuds in
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10

Louzada, Pinto Julio Cesar. "Information diffusion and opinion dynamics in social networks." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2016. http://www.theses.fr/2016TELE0001.

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La dissémination d'information explore les chemins pris par l'information qui est transmise dans un réseau social, afin de comprendre et modéliser les relations entre les utilisateurs de ce réseau, ce qui permet une meilleur compréhension des relations humaines et leurs dynamique. Même si la priorité de ce travail soit théorique, en envisageant des aspects psychologiques et sociologiques des réseaux sociaux, les modèles de dissémination d'information sont aussi à la base de plusieurs applications concrètes, comme la maximisation d'influence, la prédication de liens, la découverte des noeuds in
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11

Marchenko, Maria. "Dealing with Endogenous Shocks in Dynamic Friendship Network." WU Vienna University of Economics and Business, 2019. http://epub.wu.ac.at/7099/1/wp291.pdf.

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Different types of shocks, or the treatment of one of the players in a specific network, may influence not only the future performance of themselves but also affect their network connections. It is crucial to explore the behaviour of the whole network in response to such an event. This paper focuses on the cases of endogenously formed shock. The logic used in the peer effect literature is adopted to develop the dynamic model and accounts for the endogeneity of the shock. The model allows us to predict the endogenous part of the shock and use the remaining unexpected component to estimate the e
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12

Weng, Huibin. "A Social Interaction Model with Endogenous Network Formation." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin159317152899108.

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13

Niu, Guolin, and 牛国林. "Temporal modeling of information diffusion in online social networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206478.

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The rapid development of online social networks (OSNs) renders them a powerful platform for information diffusion on a massive scale. OSNs generate enormous propagation traces. An important question is how to model the real-world information diffusion process. Although considerable studies have been conducted in this field, the temporal characteristics have not been fully addressed yet. This thesis addresses the issue of modeling the temporal dynamics of the information diffusion process. Based on empirical findings drawn from large-scale propagation traces of a popular OSN in China, we demons
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14

Houghton, James P. Ph D. Massachusetts Institute of Technology. "Why meaning matters for belief diffusion in social networks." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124581.

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Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 13-14).<br>It is well known that human beings preferentially adopt beliefs that are consistent with what they already know (1). At its best, this process helps knowledge cumulate, and at its worst facilitates motivated reasoning and pseudoscience. Recent research in social contagion shows that the tendency to treat new information in light of what is already known creates interdependence in the diffus
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Monk, Adam Joel. "The Diffusion of New Music through Online Social Networks." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337902485.

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16

Hoang, Thi Bich Ngoc. "Information diffusion, information and knowledge extraction from social networks." Thesis, Toulouse 2, 2018. http://www.theses.fr/2018TOU20078.

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La popularité des réseaux sociaux a rapidement augmenté au cours de la dernière décennie. Selon Statista, environ 2 milliards d'utilisateurs utiliseront les réseaux sociaux d'ici janvier 2018 et ce nombre devrait encore augmenter au cours des prochaines années. Tout en gardant comme objectif principal de connecter le monde, les réseaux sociaux jouent également un rôle majeur dans la connexion des commerçants avec les clients, les célébrités avec leurs fans, les personnes ayant besoin d'aide avec les personnes désireuses d'aider, etc.. Le succès de ces réseaux repose principalement sur l'inform
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17

Delre, Sebastiano Alessio. "The effects of social networks on innovation diffusion and market dynamics." [S.l. : Groningen : s.n. ; University Library Groningen] [Host], 2007. http://irs.ub.rug.nl/ppn/304001422.

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18

Chen, Zhuo. "An Agent-Based Model for Information Diffusion Over Online Social Networks." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1475760015492269.

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19

Cheng, Jiesi. "Information Diffusion and Influence Propagation on Social Networks with Marketing Applications." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/306134.

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Web and mobile technologies have had such profound impact that we have witnessed significant evolutionary changes in our social, economic and cultural activities. In recent years, online social networking sites such as Twitter, Facebook, Google+, and LinkedIn have gained immense popularity. Such social networks have led to an enormous explosion of network-centric data in a wide variety scenarios, posing unprecedented analytical and computational challenges to MIS researchers. At the same time, the availability of such data offers major research opportunities in various social computing and ana
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20

Bao, Qing. "Inferring diffusion models with structural and behavioral dependency in social networks." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/305.

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Online social and information networks, like Facebook and Twitter, exploit the influence of neighbors to achieve effective information sharing and spreading. The process that information is spread via the connected nodes in social and information networks is referred to as diffusion. In the literature, a number of diffusion models have been proposed for different applications like influential user identification and personalized recommendation. However, comprehensive studies to discover the hidden diffusion mechanisms governing the information diffusion using the data-driven paradigm are still
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21

Pyo, Tae-Hyung. "Three essays on social networks and the diffusion of innovation models." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1383.

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The Bass model has been used extensively and globally to forecast the first purchases of new products. It has been named by INFORMS as one of the top 10 most influential papers published in the 50-year history of Management Science. Most models for the diffusion of innovation are deeply rooted in the work of Bass (1969). His work provides a framework to model the underlying process of innovation adaption among first-time customers. Potential customers may be connected to one another in some sort of network. Prior research has shown that the structure of a network affects adoption patterns (Dov
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Wang, Chunlei. "Social networks, competition, and institutionalization : an integrated perspective on social influence in innovation diffusion /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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23

Delladio, Eleonora <1996&gt. "Empowering Models of Diffusion of Innovation through Social Networks and their Agents." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19803.

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Nowadays, our world is offering a huge amount of data and tools to gather useful information for various marketing purposes. The aim is to give a new and contemporary dimension to the theory and models of diffusion of innovation of the twentieth century, by exploiting the potential given by the possible analysis of the interconnections between the agents within social networks. Interactions and influences between consumers have a strong impact on the decisional process; consequently, the patterns and dynamics of social networks should be deeply understood. Agents are classified according to sp
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24

Coad, Bethany. "Neurocognitive networks for social cognition : insights from diffusion weighted imaging and frontotemporal dementia." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/111503/.

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Empathy is a complex and multicomponent social cognitive function. It is underpinned by large-scale neurocognitive networks, the precise cognitive and neural structure of which remains debated. Despite this, relatively little work has considered the cognitive or neural components of empathy at the network-level. Here I present work using diffusion weighted magnetic resonance imaging (DWI) in healthy adults, and cognitive and behavioural assessment in a relatively rare form of dementia, the behavioural variant of frontotemporal dementia (bvFTD). Using these methods I explore: (a) the relationsh
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25

Jiang, Shan. "Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/555946.

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Knowledge diffusion networks consist of individuals who exchange knowledge and knowledge flows connecting the individuals. By studying knowledge diffusion in a network perspective, it helps us understand how the connections between individuals affect the knowledge diffusion processes. Existing research on knowledge diffusion networks mostly adopts a uni-dimensional perspective, where all the individuals in the networks are assumed to be of the same type. It also assumes that there is only one type of knowledge flow in the network. This dissertation proposes a multi-dimensional perspective of k
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McGlohon, Mary. "Structural Analysis of Large Networks: Observations and Applications." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/18.

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Network data (also referred to as relational data, social network data, real graph data) has become ubiquitous, and understanding patterns in this data has become an important research problem. We investigate how interactions in social networks are formed and how these interactions facilitate diffusion, model these behaviors, and apply these findings to real-world problems. We examined graphs of size up to 16 million nodes, across many domains from academic citation networks, to campaign contributions and actor-movie networks. We also performed several case studies in online social networks su
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Doo, Myungcheol. "Spatial and social diffusion of information and influence: models and algorithms." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44740.

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With the ubiquity of broadband, wireless and mobile networking and the diversity of user-driven social networks and social channels, we are entering an information age where people and vehicles are connected at all times, and information and influence are diffused continuously through not only traditional authoritative media such as news papers, TV and radio broadcasting, but also user-driven new channels for disseminating information and diffusing influence. Social network users and mobile travelers can influence and be influenced by the social and spatial connectivity that they share through
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Zuo, Xiang. "The Role of Social Ties in Dynamic Networks." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6160.

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Social networks are everywhere, from face-to-face activities to online social networks such as Flickr, YouTube and Facebook. In social networks, ties (relationships) are connections between people. The change of social relationships over time consequently leads to the evolution of the social network structure. At the same time, ties serve as carriers to transfer pieces of information from one person to another. Studying social ties is critical to understanding the fundamental processes behind the network. Although many studies on social networks have been carried out over the last many decades
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Vallet, Jason. "Where Social Networks, Graph Rewriting and Visualisation Meet : Application to Network Generation and Information Diffusion." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0818/document.

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Dans cette thèse, nous présentons à la fois une collection de modèles de générations de réseaux et de diffusion d'information exprimés à l'aide d'un formalisme particulier appelé la réécriture de graphes, ainsi qu'une nouvelle méthode de représentation permettant la visualisation de la diffusion d'information dans des grands réseaux sociaux. Les graphes sont des objets mathématiques particulièrement versatiles qui peuvent être utilisés pour représenter une large variété de systèmes abstraits. Ces derniers peuvent être transformés de multiples façons (création, fusion ou altération de leur élém
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Vyas, Amit. "Adoption, use and diffusion of online social networks in the older population : a UK perspective." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/12847.

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Since households and businesses alike obtained the high-speed Internet service of broadband, the Internet has become integral to daily life in the 21st century. Advancements in information and Internet technology has led to the conception of novel internet- enabled applications such as, Online Social Networks (OSNs). Since the turn of the twenty first century fast-developing OSNs such as, Twitter and Facebook have become essential communication channels that people are using to develop their online personal and professional networks online. A recent phenomenon that is worrying countries around
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Murray, Deborah Adkins. "ORGANIZATIONAL ADAPTATION THROUGH DIFFUSION AND SOCIAL NETWORKS: A STUDY OF FAMILY CONSUMER SCIENCES EXTENSION AGENTS." UKnowledge, 2012. http://uknowledge.uky.edu/edl_etds/2.

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This study examines the interconnectedness of social networks of the early adopter Family and Consumer Science Extension Agents (FCS Agents) of the Mental Healthiness and Aging Initiative (MHAI) pilot conducted in eleven (11) eastern Kentucky counties between October 2007 and April 2009 and compares the social network connections of the FCS Agents in the other six Extension Districts in Kentucky. This research used whole-network survey analysis applying the social network approach, a conceptual model for explaining the communication of new ideas and information within an organizational network
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Nordvik, Monica K. "Contagious Interactions : Essays on social and epidemiological networks." Doctoral thesis, Stockholm : Visby : Acta Universitatis Stockholmiensis ; eddy.se [distributör], 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8309.

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Zhang, Jurui. "Social Learning in a World of Friends Versus Connected Strangers: A Theoretical Model with Experimental Evidence." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/228497.

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Networks and the relationships embedded in them are critical determinants of how people communicate, form beliefs, and behave. E-commerce platforms such as Amazon and eBay have made actions of "strangers" more observable to others. More recently, social media websites such as Facebook and Google Plus have created networks of "friends", and the actions of these friends have become more visible than ever before to consumers. This dissertation develops an analytical model to examine how social learning occurs in different types of networks. Specifically, I examine the pure-strategy perfect Bayesi
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Khater, Shaymaa. "Personalized Recommendation for Online Social Networks Information: Personal Preferences and Location Based Community Trends." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/64283.

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Online social networks are experiencing an explosive growth in recent years in both the number of users and the amount of information shared. The users join these social networks to connect with each other, share, find content and disseminate information by sending short text messages in near realtime. As a result of the growth of social networks, the users are often experiencing information overload since they interact with many other users and read ever increasing content volume. Thus, finding the "matching" users and content is one of the key challenges for social networks sites. Recommenda
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Wang, Dong. "Analyse et application de la diffusion d'information dans les microblogs." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAA023/document.

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Les services de microblogging (comme Twitter ou Sina Weibo) sont devenu ces dernières années des plateformes très importantes de partage d'information sur l'Internet. Les microblogs sont fréquemment utilisé pour l'analyse de l'opinion, le marketing viral, et les campagnes politiques. Comprendre les mécanismes sous-jacents de la diffusion d'information sur les microblogs et comment des contenus deviennent populaires est important.L‘analyse de la diffusion d'information dans les microblogs nécessite la collecte de donnée des microblogs, la modélisation de la diffusion d'information et l'applicat
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Lagnier, Cédric. "Diffusion de l'information dans les réseaux sociaux." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM072/document.

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Prédire la diffusion de l'information dans les réseaux sociaux est une tâche difficile qui peut cependant permettre de répondre à des problèmes intéressants : recommandation d'information, choix des meilleurs points d'entrée pour une diffusion, etc. La plupart des modèles proposés récemment sont des extensions des modèles à cascades et de seuil. Dans ces modèles, le processus de diffusion est basé sur les interactions entre les utilisateurs du réseau (la pression sociale), et ignore des caractéristiques importantes comme le contenu de l'information diffusé ou le rôle actif/passif des utilisate
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Sundareisan, Shashidhar. "Making diffusion work for you: Classification sans text, finding culprits and filling missing values." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/49678.

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Can we find people infected with the flu virus even though they did not visit a doctor? Can the temporal features of a trending hashtag or a keyword indicate which topic it belongs to without any textual information? Given a history of interactions between blogs and news websites, can we predict blogs posts/news websites that are not in the sample but talk about the ``the state of the economy'' in 2008? These questions have two things in common: a network (social networks or human contact networks) and a virus (meme, keyword or the flu virus) diffusing over the network. We can think of interac
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Kim, Do Kyun. "Identifying Opinion Leaders by Using Social Network Analysis: A Synthesis of Opinion Leadership Data Collection Methods and Instruments." Ohio : Ohio University, 2007. http://www.ohiolink.edu/etd/view.cgi?ohiou1186672135.

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Bricker, Christine. "Vernacular geography and perceptions of place: a new approach to measuring American regional and political subcultures." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6374.

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This study develops a new theoretical approach and empirical measure of American regional subcultures using public opinion survey data and building on previous research (Chinni and Gimpel 2011; Elazar 1962, 1966; Hero 2000; Lieske 1993; Putnam, Leonardi and Nanetti 1994). Instead of approaching classification of regions based on formal geography, border states, population demography, ethnic groups and migration patterns, or historical traditions, this study uses a vernacular geography approach to study culture in the 50 American states. Vernacular geography is the sense of place revealed in or
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Kratzer, Jan, and Christopher Lettl. "Distinctive Roles of Lead Users and Opinion Leaders in the Social Networks of Schoolchildren." University of Chicago Press, 2009. http://dx.doi.org/10.1086/599324.

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Prior research has shown that both lead users and opinion leaders may propel the diffusion of innovation. This raises the question of whether lead users and opinion leaders are positioned similarly in social networks, which we address using a sample of 23 school classes consisting of 537 children. Research among children is very scarce in this particular domain. Our statistical analyses based on hierarchical linear modeling reveal two general results: first, lead users among children appear to possess a variety of links between clusters; second, opinion leaders are locally positioned within cl
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Engelbrecht, Adrian [Verfasser], Peter [Akademischer Betreuer] Buxmann, and Alexander [Akademischer Betreuer] Kock. "Discovery and Diffusion of Digital Innovations – An Analysis of Enterprise Social Networks and Data-Driven Business Models / Adrian Engelbrecht ; Peter Buxmann, Alexander Kock." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2019. http://d-nb.info/1177241692/34.

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Messarra, Nasri. "Stratégie du marketing viral sur Facebook : Analyses, expérimentations et études de cas sur les populations de diffusion initiales." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTD019/document.

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Le marketing sur les réseaux sociaux en ligne se caractérise par une perte de contrôle par rapport au marketing traditionnel (Mangold &amp; Faulds, 2009) et ceci, pour deux raisons principales. La première étant que l'équilibre des forces est complètement inversé sur les réseaux sociaux en ligne au profit du consommateur. La deuxième étant que les plateformes, particulièrement Facebook, rendent l'accès aux informations propres à l'entreprise, comme par exemple la liste de ses fans, limité, compliqué, et dans certains cas impossible. Cette thèse s'inscrit à un moment où le besoin d'une base mar
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ALI, Arshad. "Topics in Delay Tolerant Networks (DTNs) : reliable transports, estimation and tracking." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00790766.

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Mobile Ad hoc NETworks (MANETs) aim at making communication between mobile nodes feasible without any infrastructure support. Sparse MANETs fall into the class of Delay Tolerant Networks which are intermittently connected networks and where there is no contemporaneous end-to-end path at any given time. We first, propose a new reliable transport scheme for DTNs based on the use of ACKnowledgments and random linear coding. We model the evolution of the network under our scheme using a fluid-limit approach. We optimize our scheme to obtain mean file transfer times on certain optimal parameters ob
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Kaufman, Dora. "Processo de tomada de decisão no ciberespaço: o papel das redes sociais no jogo das escolhas individuais." Pontifícia Universidade Católica de São Paulo, 2010. https://tede2.pucsp.br/handle/handle/5332.

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Made available in DSpace on 2016-04-26T18:18:49Z (GMT). No. of bitstreams: 1 Dora Kaufman.pdf: 4902808 bytes, checksum: b1bed8be1d0495a11d1dbf87202fec71 (MD5) Previous issue date: 2010-08-23<br>The study presented below explores quality changes engendered by the internet in the decision-making process of individuals, showing "collective" subject and enunciators (brands, institutions, corporations, etc.) influence and interference. We address virtual communities role as a "Filter" of the information flow circulating on Internet, generating so-called "qualified information from fiduciary cont
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Van, der Pol Johannes. "Social network of firms, innovation and industrial performance." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0207/document.

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L’objectif de cette thèse est de répondre à trois questions principales ; commentexpliquer et interpréter un réseau de collaboration, est-ce que des firmes avec une positionparticulière dans un réseau bénéficient d’une performance accrue et enfin, existe-t-il desstructures de réseaux qui favorisent l’innovation ?Pour répondre à ces questions, la thèse est organisée en trois parties. La première partieprésente, dans un premier chapitre, une revue analytique de la littérature suivie d’un chapitrequi présente la théorie derrière une des méthodes d’analyse réseau utilisée dans cette thèse :les Exp
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Merrie, Andrew. "An idea whose time has come : an innovation perspective on Marine Spatial Planning." Thesis, Stockholms universitet, Stockholm Resilience Centre, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-65746.

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This study considers the emergence of Marine Spatial Planning as a tool for ecosystem-basedmanagement using an innovation diffusion perspective that combines elements of classical diffusionof innovations theory with a consideration of individual and networked agency and cross-scaledynamics in the context of a social-ecological systems perspective. The main findings are that thediffusion of Marine Spatial Planning does not follow a linear, technologically deterministic process asindicated by many diffusion of innovation studies but instead the diffusion process can becharacterised by a hybrid d
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Abdo, Alexandre Hannud. "Relações entre topologia e dinâmica em processos de crescimento e contágio em redes complexas." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-09032010-103716/.

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Esta tese apresenta um estudo de modelos de crescimento e contágio em redes, relacionando propriedades topológicas das redes com propriedades dinâmicas da evolução. Dos modelos de crescimento, desenvolve-se uma extensão do conceito de coeficiente de aglomeração para melhor determinar a validade desses modelos, demonstrando-se a utilidade de tal extensão em informar o papel não trivial da topologia dos ciclos entre modelos e redes reais. Dos modelos de contágio, utiliza-se uma modificação do modelo generalizado de Dodds e Watts para investigar o problema prático de planejar estratégias para dif
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Martinet, Lucie. "Réseaux dynamiques de terrain : caractérisation et propriétés de diffusion en milieu hospitalier." Thesis, Lyon, École normale supérieure, 2015. http://www.theses.fr/2015ENSL1010/document.

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Durant cette thèse, nous nous sommes intéressés aux outils permettant d'extraire les propriétés structurelles et temporelles de réseaux dynamiques ainsi que les caractéristiques de certains scénarios de diffusion pouvant s'opérer sur ces réseaux. Nous avons travaillé sur un jeu de données spécifiques, issu du projet MOSAR, qui comporte entre autre le réseau de proximité des personnes au cours du temps durant 6 mois à l'hôpital de Berk-sur-mer. Ce réseau est particulier dans le sens où il est constitué de trois dimensions: temporelle, structurelle par la répartition des personnes en services et
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Kurka, David Burth 1988. "Online social networks = knowledge extraction from information diffusion and analysis of spatio-temporal phenomena = Redes sociais online: extração de conhecimento e análise espaço-temporal de eventos de difusão de informação." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259074.

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Orientador: Fernando José Von Zuben<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-27T03:14:35Z (GMT). No. of bitstreams: 1 Kurka_DavidBurth_M.pdf: 1660677 bytes, checksum: 7258daf8129b4dac9d1f647195775d3c (MD5) Previous issue date: 2015<br>Resumo: Com o surgimento e a popularização de Redes Sociais Online e de Serviços de Redes Sociais, pesquisadores da área de computação têm encontrado um campo fértil para o desenvolvimento de trabalhos com grande volume de dados, modelos envolvendo múlt
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Parker, Jason Shaw. "Land tenure in the Sugar Creek watershed a contextual analysis of land tenure and social networks, intergenerational farm succession, and conservation use among farmers of Wayne County, Ohio /." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1147971583.

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