Academic literature on the topic 'Information dissemination and diffusion'
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Journal articles on the topic "Information dissemination and diffusion"
Yu, Jianye, Junjie Lv, Yuanzhuo Wang, and Jingyuan Li. "Mechanism analysis of competitive information asynchronous dissemination on social networks." International Journal of Modern Physics C 30, no. 11 (November 2019): 1950094. http://dx.doi.org/10.1142/s0129183119500943.
Full textMcEwan, Bree, Christopher J. Carpenter, and Jill E. Hopke. "Mediated Skewed Diffusion of Issues Information: A Theory." Social Media + Society 4, no. 3 (July 2018): 205630511880031. http://dx.doi.org/10.1177/2056305118800319.
Full textCheng, Shin-Ming, Vasileios Karyotis, Pin-Yu Chen, Kwang-Cheng Chen, and Symeon Papavassiliou. "Diffusion Models for Information Dissemination Dynamics in Wireless Complex Communication Networks." Journal of Complex Systems 2013 (September 4, 2013): 1–13. http://dx.doi.org/10.1155/2013/972352.
Full textUtami, Sabrina Rahma, and Pitoyo Pitoyo. "Communication strategy of the Communication and Informatics Department of Payakumbuh in disseminating Covid-19 information in March – August 2021." Indonesian Journal of Communication Studies 14, no. 2 (January 24, 2022): 92. http://dx.doi.org/10.31315/ijcs.v14i2.5397.
Full textGuo, Rongchun. "News Hotspot Event Diffusion Mechanism Based on Complex Network." Mathematical Problems in Engineering 2022 (May 28, 2022): 1–9. http://dx.doi.org/10.1155/2022/1455324.
Full textAkhter, Pervaiz, Tanveer Hussain, and Hafiz Bilal Ahsan. "Mass Media as a Source of Agricultural Information: An Overview of Literature." Global Regional Review VI, no. II (June 30, 2021): 58–63. http://dx.doi.org/10.31703/grr.2021(vi-ii).08.
Full textVavryk, Petro. "One approach to formalizing the process of information dissemination based on diffusion-limited aggregation." Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics, no. 1 (2022): 61–66. http://dx.doi.org/10.17721/1812-5409.2022/1.8.
Full textIvokhin, Evgeniy V., and Yuriy A. Naumenko. "On Formalization of Information Dissemination Processes Based on Hybrid Diffusion Models." Journal of Automation and Information Sciences 50, no. 7 (2018): 79–86. http://dx.doi.org/10.1615/jautomatinfscien.v50.i7.70.
Full textKnight, David W., Arren Mendezona Allegretti, and Jerry J. Vaske. "Information dissemination-diffusion and marine protected area approval in the Philippines." Ocean & Coastal Management 113 (August 2015): 38–46. http://dx.doi.org/10.1016/j.ocecoaman.2015.05.016.
Full textHan, Shao Chun, Yun Liu, Hui Ling Chen, and Zhen Jiang Zhang. "Influence Model of User Behavior Characteristics on Information Dissemination." International Journal of Computers Communications & Control 11, no. 2 (January 26, 2016): 209. http://dx.doi.org/10.15837/ijccc.2016.2.2441.
Full textDissertations / Theses on the topic "Information dissemination and diffusion"
Agarwal, Rachit. "Towards enhancing information dissemination in wireless networks." Thesis, Evry, Institut national des télécommunications, 2013. http://www.theses.fr/2013TELE0020/document.
Full textIn public warning message systems, information dissemination across the network is a critical aspect that has to be addressed. Dissemination of warning messages should be such that it reaches as many nodes in the network in a short time. In communication networks those based on device to device interactions, dissemination of the information has lately picked up lot of interest and the need for self organization of the network has been brought up. Self organization leads to local behaviors and interactions that have global effects and helps in addressing scaling issues. The use of self organized features allows autonomous behavior with low memory usage. Some examples of self organization phenomenon that are observed in nature are Lateral Inhibition and Flocking. In order to provide self organized features to communication networks, insights from such naturally occurring phenomenon is used. Achieving small world properties is an attractive way to enhance information dissemination across the network. In small world model rewiring of links in the network is performed by altering the length and the direction of the existing links. In an autonomous wireless environment such organization can be achieved using self organized phenomenon like Lateral inhibition and Flocking and beamforming (a concept in communication). Towards this, we first use Lateral Inhibition, analogy to Flocking behavior and beamforming to show how dissemination of information can be enhanced. Lateral Inhibition is used to create virtual regions in the network. Then using the analogy of Flocking rules, beam properties of the nodes in the regions are set. We then prove that small world properties are achieved using average path length metric. However, the proposed algorithm is applicable to static networks and Flocking and Lateral Inhibition concepts, if used in a mobile scenario, will be highly complex in terms of computation and memory. In a mobile scenario such as human mobility aided networks, the network structure changes frequently. In such conditions dissemination of information is highly impacted as new connections are made and old ones are broken. We thus use stability concept in mobile networks with beamforming to show how information dissemination process can be enhanced. In the algorithm, we first predict the stability of a node in the mobile network using locally available information and then uses it to identify beamforming nodes. In the algorithm, the low stability nodes are allowed to beamform towards the nodes with high stability. The difference between high and low stability nodes is based on threshold value. The algorithm is developed such that it does not require any global knowledge about the network and works using only local information. The results are validated using how quickly more number of nodes receive the information and different state of the art algorithms. We also show the effect of various parameters such as number of sources, number of packets, mobility parameters and antenna parameters etc. on the information dissemination process in the network. In realistic scenarios however, the dynamicity in the network is not only related to mobility. Dynamic conditions also arise due to change in density of nodes at a given time. To address effect of such scenario on the dissemination of information related to public safety in a metapopulation, we use the concepts of epidemic model, beamforming and the countrywide mobility pattern extracted from the $D4D$ dataset. Here, we also propose the addition of three latent states to the existing epidemic model ($SIR$ model). We study the transient states towards the evolution of the number of devices having the information and the difference in the number of devices having the information when compared with different cases to evaluate the results. Through the results we show that enhancements in the dissemination process can be achieved in the addressed scenario
Jacobs, Neil. "Scholarly Communication, the Information Chain and Technology: Analyses and Reflexions." Thesis, Loughborough University, 2001. http://eprints.rclis.org/6802/1/thesis.pdf.
Full textMedetov, Seytkamal. "Bio-inspired Approaches for Informatio Dissemination in Ad hon Networks." Thesis, Belfort-Montbéliard, 2014. http://www.theses.fr/2014BELF0253/document.
Full textInformation dissemination in Vehicular Ad hoc Networks (VANETs) is a fundamental operation to increase the safety awareness among vehicles on roads. Thus, the design and implementation of efficient and scalable algorithms for relevant information dissemination constitutes a major issue that should be tackled.In this work, bio-inspired information dissemination approaches are proposed, that use self-organization principles of swarms such as Ant and Honey Bee colonies. These approaches are targeted to provide each vehicle with the required information about its surrounding and assist drivers to be aware of undesirable road conditions. In the first approach, Ant’s direct and indirect communication systems are used. Ants share information about food findings with colony members by throwing pheromone on the returning to the nest. The second, an RSU-based approach is inspired by the Bee communication system. Bees share profitable food sources with hive-mates in their hive by specific messages.A “relevance” value associated to the emergency messages is defined as an analogue to pheromone throwing in Ant colony, and as an analogue to profitability level in Bee colony, to disseminate safety information within a geographical area. Simulations are conducted using NS2 network simulator and relevant metrics are evaluated under different node speeds and network densities to show the effectiveness of the proposed approaches
Wallace, Richard. "ETSU Medical Residents' Clinical Information Behaviors, Skills, Training, and Resource Use." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etd/2076.
Full textHenry, Didier. "Modèles de propagation de l'information et méthodes de sciences des données." Thesis, Antilles, 2018. http://www.theses.fr/2018ANTI0323/document.
Full textNowadays, online social media has transformed the way we create, share and access information. These platforms rely on gigantic networks that promote the free exchange of information between hundreds of millions of people around the world, and this instantly.Whether related to a global event or in connection with a local event, these messages may influence a society and may contain information useful for the detection or prediction of real-world phenomena.However, some broadcast messages can have a very negative impact in real life. These messages containing false information can have disastrous consequences.To avoid and anticipate these dramatic situations, follow rumors, avoid bad reputations, it is necessary to study and then model the propagation of information.However, most of the diffusion models introduced are based on axiomatic hypotheses represented by mathematical models. As a result, these models are far removed from the users' dissemination behaviors in that they do not incorporate observations made on concrete dissemination cases. In our work, we study the phenomenon of diffusion of information at two scales. On a microscopic scale, we observed diffusion behaviors based on the personality traits of users by analyzing the messages they post in terms of feelings and emotions. On a macroscopic scale, we analyzed the evolution of the diffusion phenomenon by taking into account the geographical dimension of the users
Pampel, Heinz. "Universitätsverlage im Spannungsfeld zwischen Wissenschaft und Literaturversorgung. Eine kritische Bestandsaufnahme." Thesis, Fachhochschulverlag Frankfurt am Main. Zugl.: Hochschule der Medien, Stuttgart, Diplomarbeit, 2006, 2007. http://eprints.rclis.org/9590/1/pampel.pdf.
Full textCubells, Puertes María José. "La classificació de la documentació parlamentària de Les Corts Valencianes: la funció de control al Consell." Thesis, Universitat de València, 2008. http://eprints.rclis.org/14243/1/1_tesi.pdf.
Full textBrun, Philippe. "Conférence répartie en mode messagerie." Saint-Etienne, 1987. http://tel.archives-ouvertes.fr/docs/00/94/12/02/PDF/1987_Brun_Philippe.pdf.
Full textBoulland, Romain. "Trois essais en finance d'entreprise." Thesis, Paris 9, 2013. http://www.theses.fr/2013PA090049.
Full textInvestors often fail to incorporate all relevant information when they make decisions. This is a consequence of both information overload and investors’ limited cognitive abilities. The first essay shows that firms take advantage of investors’ inattention by managing the advance notice period of earnings announcements. Firms notify the date of positive earnings announcement several weeks in advance while disappointing earnings are notified at late notice. The second essay deals with firms’ international visibility and studies how communicating on English-speaking wire services impacts investors’ attention. Higher dissemination of news increases investors’ attention and improves the incorporation of information into stock prices. The third essay deals with the effects of firms’ visibility on investment policy. It shows that higher dissemination of disclosures improves firms’ informational environment and investment efficiency
Abiza, Yamina. "Personnalisation de la distribution et de la présentation des informations des bases de vidéo interactive diffusées." Nancy 1, 1997. http://www.theses.fr/1997NAN10249.
Full textIn this thesis we deal with the issues of the design and personalization of data-oriented interactive video applications (i. E. Multimedia/hypermedia documents applications with predominance of audio and video data) in the emerging residential multimedia informatoin services (i. E. Interactive television and second generation telematics) More specifically, we are concerned with the server-push information services (i. E. Distributed dynamic and broadcast information sources) to be deployed in heteroyenous environments with shared ressources and destinated to users having different information needs and preferences. In this context, they are a lot of possible aspects to personalize. Here we focus on two particular related aspects : structure-based information filtering and personalization of contents presentation modalities. The techniques to achieve these personalization aspects are tightly related to the design of a given information source. Our approach to personalization is based on the definition of a conceptual data model, HB_Model, composed of : 1) a base model to represent documents organization and internal structure in video interactive sources, 2) a versionning model, HB_Versions, to represents documents contents with multiple alternative representation forms or modalities, and 3) a model for wiews definition, HB_Views, to represent relatively stable users information needs. Personalized information delivery from a given server - based on structure criteria - is archived by the materialization of individual users' views specifications using newly available information on this server. Personalization of contents representation modalitics is archived by the intentional specification of documents contents configuration in the form of a CSP (Constraint Satisfaction Problem) which reflects the constraints of the interaction and presentation contexts caracteristics on the choice of the presentation modality for each content and garantees the coherence of presentation modalities combinations. Finally, we show how our propositions articulate and fit into the architecture of a personalized, server-push interactive video information service
Books on the topic "Information dissemination and diffusion"
Pinelli, Thomas E. NASA/DoD aerospace knowledge diffusion research project: summary report to phase 1 respondents. Hampton, Va: Langley Research Center, 1991.
Find full textPinelli, Thomas E. NASA/DoD aerospace knowledge diffusion research project: summary report to phase 3 faculty and student respondents including frequency distributions. Hampton, VA: Langley Research Center, 1991.
Find full textMorrison, Elizabeth W. NASA/DoD Aerospace Knowledge Diffusion Research Project.: Results of an initial investigation. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.
Find full textE, Pinelli Thomas, and United States. National Aeronautics and Space Administration., eds. NASA/DoD Aerospace Knowledge Diffusion Research Project.: Results of an initial investigation. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.
Find full textMurphy, D. NASA/DoD aerospace knowledge diffusion research project. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textUnited States. National Aeronautics and Space Administration. and United States. Dept. of Defense., eds. NASA/DoD aerospace knowledge diffusion research project. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textMurphy, D. NASA/DoD aerospace knowledge diffusion research project. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textMurphy, D. NASA/DoD aerospace knowledge diffusion research project. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textPinelli, Thomas E. Aerospace knowledge, diffusion research project. [Washington, DC]: National Aeronautics and Space Administration, 1996.
Find full textO, Barclay Rebecca, Kennedy John M, and United States. National Aeronautics and Space Administration., eds. Aerospace knowledge, diffusion research project. [Washington, DC]: National Aeronautics and Space Administration, 1997.
Find full textBook chapters on the topic "Information dissemination and diffusion"
Grover, Purva, and Arpan Kumar Kar. "“#Government” - Understanding Dissemination, Transparency, Participation, Collaboration and Engagement on Twitter for Citizens." In Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 365–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64849-7_33.
Full textVieri, Marco, Daniele Sarri, Sofia Matilde Luglio, and Carolina Perna. "Didattica immersiva nell’Ingegneria Agraria. Un caso d’uso nel Laboratorio di Agricoltura Digitale e di Alta Tecnologia." In Studi e saggi, 103–8. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-646-9.13.
Full textLi, Jun, Peter Reiher, and Gerald J. Popek. "Dissemination Procedure." In Advances in Information Security, 47–66. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1021-5_4.
Full textNayate, Amol, Mike Dahlin, and Arun Iyengar. "Transparent Information Dissemination." In Middleware 2004, 212–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30229-2_12.
Full textShek, Eddie C., Son K. Dao, and Darrel J. Van Buer. "Information Dissemination Applications." In Internetworking and Computing Over Satellite Networks, 239–59. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0431-3_10.
Full textSmiraglia, Richard P. "Gatekeepers: Information Dissemination." In Cultural Synergy in Information Institutions, 47–55. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1249-0_6.
Full textGöseke, Christian. "Information Networks." In Information Gathering and Dissemination, 135–73. Wiesbaden: Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-663-08564-5_5.
Full textIngram, W. Ludwig. "ICAITI’S Dissemination Activities of Biogas Systems." In Biogas Technology, Transfer and Diffusion, 166–70. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4313-1_22.
Full textTurau, Volker. "Stateless Information Dissemination Algorithms." In Structural Information and Communication Complexity, 183–99. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54921-3_11.
Full textYang, Zhengwei, Ada Wai-Chee Fu, Yanyan Xu, Silu Huang, and Ho Fung Leung. "Community Based Information Dissemination." In Lecture Notes in Computer Science, 220–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19548-3_18.
Full textConference papers on the topic "Information dissemination and diffusion"
Naqvi, Syed, and Hafedh Al-Shihi. "M-Government Services Initiatives in Oman." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3389.
Full textBarbosa, Carlos, Lucas Félix, Vinícius Vieira, and Carolina Xavier. "Sara - A Semi-Automatic Framework for Social Network Analysis." In XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8137.
Full textSilva, Samuel O., Bruno O. Goulart, Maria Júlia M. Schettini, Carolina Xavier, and João Gabriel Silva. "Estudo comparativo de métricas de ranking em Redes Sociais." In Encontro Nacional de Computação dos Institutos Federais. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/encompif.2020.11068.
Full textSantos, Mariana Bastos Rodrigues dos, Felipe dos Santos Souza, Pedro Felisberto Nogueira Viana Farah, Yasmim Evelyn Lisboa Barbosa, and Felipe Oliveira Costa. "Early diagnosis of RelapsingRemitting Multiple Sclerosis: a review of the bibliography from 2016 to 2021." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.203.
Full textAbu-Baker, Amjad, Hong Huang, Eric Johnson, and Satyajayant Misra. "Green Diffusion: Data dissemination in sensor networks using solar power." In 2011 IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2011. http://dx.doi.org/10.1109/ccnc.2011.5766603.
Full textGunasekaran, Raghul, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, and Hairong Qi. "INFOrmation Dissemination (INFOD) middleware." In the Third ACM International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1619258.1619317.
Full textKuhn, Fabian. "Session details: Information dissemination." In PODC '11: ACM Symposium on Principles of Distributed Computing. New York, NY, USA: ACM, 2011. http://dx.doi.org/10.1145/3253076.
Full textKantelis, Konstantinos, Georgios Papadimitriou, Petros Nikopolitidis, Ioannis Vlahavas, Olga Tsave, and Athanasios Salifoglou. "Message dissemination dynamics in biological communication systems: A reaction-diffusion approach." In 2017 24th International Conference on Telecommunications (ICT). IEEE, 2017. http://dx.doi.org/10.1109/ict.2017.7998265.
Full textJeong, Youngmin, Hyundong Shin, and Moe Z. Win. "Information dissemination in MIMO networks." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503820.
Full text"Information Dissemination in Social Networks." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004917202670271.
Full textReports on the topic "Information dissemination and diffusion"
Cuesta-Valiño, Pedro. Happiness Management. A Social Well-being multiplier. Social Marketing and Organizational Communication. Edited by Rafael Ravina-Ripoll. Editorial Universidad de Sevilla, 2022. http://dx.doi.org/10.12795/2022.happiness-management.
Full textVitto, Vincent. Managed Information Dissemination. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada386520.
Full textKallurkar, Srikanth. Targeted Information Dissemination. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada479670.
Full textTed J. Clutter. Geothermal Information Dissemination and Outreach. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/881755.
Full textGeorge Kervitsky, Jr. Hydrogen Technical Analysis -- Dissemination of Information. Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/900480.
Full textDr. John W. Lund. Geothermal Energy Information Dissemination and Outreach. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/878452.
Full textFabregas, Raissa, Michael Kremer, Jon Robinson, and Frank Schilbach. Evaluating agricultural information dissemination in western Kenya. International Initiative for Impact Evaluation (3ie), December 2017. http://dx.doi.org/10.23846/tw4.ie67.
Full textFabregas, Raissa, Michael Kremer, Jon Robinson, and Frank Schilbach. Evaluating agricultural information dissemination in western Kenya. International Initiative for Impact Evaluation, February 2018. http://dx.doi.org/10.23846/tw41011.
Full textInnis, S. Community Based Approach to Wind Energy Information Dissemination. Office of Scientific and Technical Information (OSTI), September 2003. http://dx.doi.org/10.2172/839350.
Full textThomas, Cathy H. The Dissemination of Terrorist Threat Information: Who Should Be Warned. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada220703.
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