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Relevant bibliographies by topics / Advertising networks

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Academic literature on the topic 'Advertising networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Advertising networks"

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Nguyen, Thanh Duy, Nghia Dinh Tran, and Cuong Manh Pham. "Proposing the online advertising on social network adoption model in Vietnam." Science and Technology Development Journal 16, no. 3 (2013): 5–19. http://dx.doi.org/10.32508/stdj.v16i3.1626.

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Social network is strongly growing and is increasingly becoming an integral part of the daily life of people in all over the world; online advertising on social networks is a potential market for the business towards. With the booming development of web 2.0, online advertising is showing a remarkable transformation, Vietnam marketers are approaching the new form of online advertising on social network such as facebook, zingme, google+, linkedin, twitter, yume... The studies showed that the popularity of online advertising on social networking is essential. This study proposes a new model that

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Yao, Hong, Guang Yang, Deze Zeng, Chao Liu, Qingzhong Liang, and Chengyu Hu. "An Advertiser-Centric Cooperative Mechanism in Smartphone Advertising Based on Stackelberg Game Analysis." International Journal of Web Services Research 12, no. 4 (2015): 1–15. http://dx.doi.org/10.4018/ijwsr.2015100101.

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The popularity of smart phones has greatly promoted the development of mobile advertising, especially the development of mobile application (app) advertising. An ad network as a medium between advertisers and app developers can not only provide advertising services for advertisers, but also bring app developers incomes. Existing forms of advertising partnership between advertisers and advertising networks (ad networks) are generally centered on ad networks. However, the advertising-centric cooperation model sometimes cannot meet the specialized advertising needs of advertisers, and the adverti

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Gopal, Ram D., and Arvind K. Tripathi. "Advertising via wireless networks." International Journal of Mobile Communications 4, no. 1 (2006): 1. http://dx.doi.org/10.1504/ijmc.2006.008194.

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D’Annunzio, Anna, and Antonio Russo. "Ad Networks and Consumer Tracking." Management Science 66, no. 11 (2020): 5040–58. http://dx.doi.org/10.1287/mnsc.2019.3481.

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We study the role of ad networks in the online advertising market. Our baseline model considers two publishers that can outsource the sale of their ad inventories to an ad network, in a market where consumers and advertisers multi-home. The ad network increases total advertising revenue by tracking consumers across outlets and reduces competition between publishers by centralizing the sale of ads. Consequently, outsourcing to the ad network benefits the publishers, but may penalize the advertisers. We show that the ad network’s ability to track consumers may either expand or reduce the provisi

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Alt, Florian, Jorg Muller, and Albrecht Schmidt. "Advertising on Public Display Networks." Computer 45, no. 5 (2012): 50–56. http://dx.doi.org/10.1109/mc.2012.150.

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Bimpikis, Kostas, Asuman Ozdaglar, and Ercan Yildiz. "Competitive Targeted Advertising Over Networks." Operations Research 64, no. 3 (2016): 705–20. http://dx.doi.org/10.1287/opre.2015.1430.

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Malanchuk, T. V. "Responsibility of the social network as a distributor of commercial advertising." Legal horizons, no. 24 (2020): 41–46. http://dx.doi.org/10.21272/legalhorizons.2020.i24.p41.

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The article examines the limits of state participation and the impact of legal regulation on the development of the Internet in general and social networks in particular. An attempt is made to determine the nature and extent of regulation of the dissemination of information through social networks, as well as the feasibility of control over cyberspace by the state. An analysis of existing legal norms on the regulation of advertising on the Internet, taking into account the peculiarities of advertising on social networks. It is established that today Internet advertising, including advertising

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Himelboim, Itai, and Guy J. Golan. "A Social Networks Approach to Viral Advertising: The Role of Primary, Contextual, and Low Influencers." Social Media + Society 5, no. 3 (2019): 205630511984751. http://dx.doi.org/10.1177/2056305119847516.

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The diffusion of social networking platforms ushered in a new age of peer-to-peer distributed online advertising content, widely referred to as viral advertising. The current study proposes a social networks approach to the study of viral advertising and identifying influencers. Expanding beyond the conventional retweets metrics to include Twitter mentions as connection in the network, this study identifies three groups of influencers, based on their connectivity in their networks: Hubs, or highly retweeted users, are Primary Influencers; Bridges, or highly mentioned users who associate connec

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Sun, Ling, Yanbin Yang, Xuemei Fu, Hao Xu, and Wei Liu. "Optimization of Subway Advertising Based on Neural Networks." Mathematical Problems in Engineering 2020 (March 10, 2020): 1–15. http://dx.doi.org/10.1155/2020/1871423.

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Subway advertising has become a regular part of our daily lives. Because the target audiences are high-level consumers, subway advertising can promote the return on investment. Such advertising has taken root in various countries and regions. However, a lack of appropriate oversight, a single-track operating mode of subway advertising, and unclear price standards significantly reduced the expected advertising effects and the reasonableness of advertising quotations. The shared biking services have gained a great amount of attention in the past few years. Besides, more citizens get involved in

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KOCSIS, GERGELY, and IMRE VARGA. "Investigating the effectiveness of advertising on declining social networks." Creative Mathematics and Informatics 23, no. 1 (2014): 73–80. http://dx.doi.org/10.37193/cmi.2014.01.10.

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In this paper we aim to investigate the question if it’s worth it to advertise on declining social networks or not. Our investigations are based on computer simulations using a previously defined and here simplified model of information spreading. To make our results as close to the real life as possible we run simulations both on a real network sample and on several generated networks representing as well classical scale-free-like social topologies as declining social networks. As a result we found how the continuous destruction of the network affects the spreading, changing also the effectiv

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Dissertations / Theses on the topic "Advertising networks"

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Paranthaman, Ayilan. "Youtube: A New Ground For Advertising." UOIT, 2009. http://hdl.handle.net/10155/57.

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Hadija, Zeljka. "Perceptions of advertising in online social networks : in-depth interviews /." Online version of thesis, 2008. http://hdl.handle.net/1850/5958.

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Cox, Shirley A. "Online social network member attitude toward online advertising formats /." Online version of thesis, 2010. http://hdl.handle.net/1850/11588.

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Helander, Fredrik. "Mobile Display Advertising and Consumer Privacy : Mobile Ad Networks approach to Privacy, and their pointof view." Thesis, Umeå universitet, Handelshögskolan vid Umeå universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-41411.

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Research question: To what extent is mobile/SMS advertising privacy norms, associated with permission, relevance and control, applied to mobile display advertising contexts by mobile ad networks? How is this motivated? Purpose: The purpose of this thesis is to work as an initial step in the process of establishing what privacy norms that should be applied by mobile ad networks in mobile display advertising contexts. Insights generated, regarding potential impacts of the rapid development within the mobile advertising industry on how privacy issues are handled by mobile ad networks, are desired

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Jian, Jun. "An Implementation of Resource Advertising and Discovery for Optical Research Networks." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28626.

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In optical research networks, the need to enable network users to dynamically provision and manage network resources inspired the development of the User Controlled Lightpath Provisioning System (UCLP). The UCLP version 2 (UCLPv2) is based on a service-oriented architecture in which network resources are abstracted as and managed via Web Services. It introduces a new concept, called Articulated Private Network, where end-users collect resources from several different domains to dynamically articulate and change their network topology. In the current UCLPv2 system, the process of resource shari

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Zhang, Kunpeng, Siddhartha Bhattacharyya, and Sudha Ram. "LARGE-SCALE NETWORK ANALYSIS FOR ONLINE SOCIAL BRAND ADVERTISING." SOC INFORM MANAGE-MIS RES CENT, 2016. http://hdl.handle.net/10150/623353.

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This paper proposes an audience selection framework for online brand advertising based on user activities on social media platforms. It is one of the first studies to our knowledge that develops and analyzes implicit brand-brand networks for online brand advertising. This paper makes several contributions. We first extract and analyze implicit weighted brand-brand networks, representing interactions among users and brands, from a large dataset. We examine network properties and community structures and propose a framework combining text and network analyses to find target audiences. As a part

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Desfougères, Jean-Marc, and Valentin Bloux. "Behavioural advertising on Facebook : the users perspective regarding leisure industry." Thesis, Högskolan i Halmstad, Sektionen för ekonomi och teknik (SET), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15978.

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Title: Behavioural advertising on Facebook: The user perspective regarding leisure industry. Authors: Jean-Marc Desfougères and Valentin Bloux Supervisor: Albert Thor Magnusson Level: Bachelor Thesis in Business Administration Marketing Key Words: Behavioural advertising, Facebook, privacy, online consumer behaviour, social network, leisure industry, targeting. Purpose: study how a specific age bracket of Facebook users perceives the leisure industry behavioural advertising on this social networking site. Method: This thesis follows a deductive approach. We are using secondary data from books,

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Jara, Carlos, and Terence Wayburne. "Advertising, Internet Based Networking Websites (IBNWs) and New Ventures." Thesis, Umeå universitet, Handelshögskolan vid Umeå universitet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-57467.

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With the explosion of technology we are finding that our methods of communication are changing rapidly year to year. The way that we interact with each other from personal levels to more formal business is all being affected. With the birth of the internet we have seen continuous growth of communication methods via this medium and most recently is the boom of the Internet Based Networking Websites (IBNWs) that allow the, over 300million, users to interact with each other. Websites like Facebook, Linkedin, and Twitter are very good examples of IBNWs that provide great platforms for commu

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Olivier, Hannelore. "Musical networks : the case for a neural network methodology in advertisement music research." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/16618.

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Thesis (M.Mus.)--University of Stellenbosch, 2005.<br>ENGLISH ABSTRACT: Countless scientists had been struggling for centuries to find a significant connection between cognition, emotion and reasoning – resulting in today’s rather embarrassingly imperfect understanding of even the most basic human cognition. We should apprehend that it is unlikely that major breakthroughs in the Cognitive Sciences, Psychology, Sociology or the Medical Sciences will elucidate everything about the human brain and -behaviour in the very near future. Realizing this, it is realistic that we should transfer our

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Kepekci, Ali Caglar. "A content analysis of value-based advertising strategies on the Internet." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1730.

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Books on the topic "Advertising networks"

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Tuten, Tracy L. Advertising 2.0. Greenwood Publishing Group, 2010.

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Dunay, Paul. Facebook advertising for dummies. Wiley Pub., 2011.

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Digital signage: Software, networks, advertising, and displays : a primer for understanding the business. Focal Press, 2008.

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Arnold, Sanow, ed. Nobody to somebody in 63 days or less: The ultimate how-to guide to business networking & word of mouth advertising. Applied Business Communications, 1997.

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Recommended: How to sell through networking and referrals. Financial Times/Prentice Hall, 2011.

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Tuten, Tracy L. Advertising 2.0: Social media marketing in a web 2.0 world. Praeger Publishers, 2008.

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Parker, Philip M. The 2009-2014 world outlook for advertising for social media web sites. Icon Group International, 2008.

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Yawen, Xiao, ed. Chao you xiao lian shu ji ke shu: Bu hua qian jiu neng ju ji liu lan ren chao de jing ren fang fa. Tian xia za zhi gu fen you xian gong si, 2012.

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Get rich click!: The ultimate guide to making money on the Internet! : if you can click a mouse, you can make money on the Internet! This book is filled with hundreds of ways to make you money and save you money. Learn more about "reverse e-commerce," pay-per-action, Internet real estate, blog marketing 100+ SEO tactics and much, much more. Razor Media Group, LLC, 2011.

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Ostrofsky, Marc. Get Rich CLICK!: THE ULTIMATE GUIDE TO MAKING MONEY ON THE INTERNET. FREE PRESS, 2012.

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Book chapters on the topic "Advertising networks"

1

Dawson, Patrick. "Realtime Advertising in Social Networks." In Realtime Advertising. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-05358-1_15.

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Spiegler, Erica Dubach, Christian Hildebrand, and Florian Michahelles. "Social Networks in Pervasive Advertising and Shopping." In Pervasive Advertising. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-352-7_10.

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Harris, April, and Reginald Leseane. "The Value of Social Networks in the World of Advertising." In Advertising Confluence. Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137492265_8.

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Bagherjeiran, Abraham, Rushi P. Bhatt, Rajesh Parekh, and Vineet Chaoji. "Online Advertising in Social Networks." In Handbook of Social Network Technologies and Applications. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7142-5_30.

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Celis, L. Elisa, Mina Dalirrooyfard, and Nisheeth K. Vishnoi. "A Dynamics for Advertising on Networks." In Web and Internet Economics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71924-5_7.

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Funk, Tom. "Advertising on Twitter and Other Networks." In Advanced Social Media Marketing. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4408-0_6.

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Kahl, Christian, Stephen Crane, Markus Tschersich, and Kai Rannenberg. "Privacy Respecting Targeted Advertising for Social Networks." In Information Security Theory and Practice. Security and Privacy of Mobile Devices in Wireless Communication. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21040-2_26.

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Chen, Yunbo, and Shuzhen Feng. "Artificial Intelligence: Creating More Possibilities for Programmatic Advertising." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80624-8_19.

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Walrand, Jean. "Networks: A." In Probability in Electrical Engineering and Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_5.

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AbstractSocial networks connect people and enable them to exchange information. News and rumors spread through these networks. We explore models of such propagations. The technology behind social networks is the internet where packets travel from queue to queue. We explain some key results about queueing networks.Section 5.1 explores a model of how rumors spread in a social network. Epidemiologists use similar models to study the spread of viruses. Section 5.2 explains the cascade of choices in a social network where one person’s choice is influenced by those of people she knows. Section 5.3 shows how seeding the market with advertising or free products affects adoptions. Section 5.4 studies a model of how media can influence the eventual consensus in a social network. Section 5.5 explores the randomness of the consensus in a group. Sections 5.6 and 5.7 present a different class of network models where customers queue for service. Section 5.6 studies a single queue and Sect. 5.7 analyzes a network of queues. Section 5.8 explains a classical optimization problem in a communication network: how to choose the capacities of different links. Section 5.9 discusses the suitability of queueing networks as models of the internet. Section 5.10 presents a classical result about a class of queueing networks known as product-form networks.

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Silva, Jesús, Yisel Pinillos-Patiño, Harold Sukier, et al. "Factors that Determine Advertising Evasion in Social Networks." In Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7234-0_81.

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Conference papers on the topic "Advertising networks"

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Beloff, Natalia, and Palashi Pandya. "Advertising Models on Social Networks for SMEs-An Advertising Methodology." In 2010 International Conference on Internet Technology and Applications (iTAP). IEEE, 2010. http://dx.doi.org/10.1109/itapp.2010.5566329.

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Masucci, Antonia Maria, and Alonso Silva. "Advertising competitions in social networks." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963668.

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Dragoni, Mauro. "Computational advertising in social networks." In SAC 2018: Symposium on Applied Computing. ACM, 2018. http://dx.doi.org/10.1145/3167132.3167324.

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"ADVERTISING VIA MOBILE TERMINALS - Delivering context sensitive and personalized advertising while guaranteeing privacy." In 2nd International Conference on E-business and Telecommunication Networks. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001410800490056.

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Mitra, Pinaki, and Kamal Baid. "Targeted advertising for online social networks." In 2009 First International Conference on Networked Digital Technologies (NDT). IEEE, 2009. http://dx.doi.org/10.1109/ndt.2009.5272165.

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Friedman, Roy, and Alexander Libov. "An advertising mechanism for P2P networks." In 2013 IEEE Thirteenth International Conference on Peer-to-Peer Computing (P2P). IEEE, 2013. http://dx.doi.org/10.1109/p2p.2013.6688709.

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Ogul, Murat, Selcuk Baktir, and Emin Islam Tatli. "Abused Android Permissions by Advertising Networks." In 2014 International Conference on IT Convergence and Security (ICITCS). IEEE, 2014. http://dx.doi.org/10.1109/icitcs.2014.7021726.

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Wan-Shiou Yang, Jia-Ben Dia, Hung-Chi Cheng, and Hsing-Tzu Lin. "Mining Social Networks for Targeted Advertising." In Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06). IEEE, 2006. http://dx.doi.org/10.1109/hicss.2006.272.

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Chou, Yu-Feng, Ray-Guang Cheng, and Pei-Yuan Ku. "Advertising in human centric communication networks." In 2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwcmc.2011.5982830.

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Javaid, Hira, Hafiz Kamran Khalil, Zartash Afzal Uzmi, and Ihsan Ayyub Qazi. "Online Advertising under Internet Censorship." In HotNets-XVI: The 16th ACM Workshop on Hot Topics in Networks. ACM, 2017. http://dx.doi.org/10.1145/3152434.3152455.

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Reports on the topic "Advertising networks"

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Arely Donis, C., and TG Martín Casado. Representation of the Other in social advertising: Analysis of the graphic advertising of NGDOs in social networks. Revista Latina de Comunicación Social, 2017. http://dx.doi.org/10.4185/rlcs-2017-1172en.

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Hotsur, Oksana. SOCIAL NETWORKS AND BLOGS AS TOOLS PR-CAMPAIGN IMPLEMENTATIONS. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11110.

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The article deals with the ways in which social networks and the blogosphere influence the formation and implementation of a PR campaign. Examples from the political sphere (election campaigns, initiatives), business (TV brands, traditional and online media) have revealed the opportunities that Facebook, Telegram, Twitter, YouTube and blogs promote in promoting advertising, ideas, campaigns, thoughts, or products. Author blogs created on special websites or online media may not be as much of a tool in PR as an additional tool on social media. It is noted that choosing a blog as the main tool o

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Le Faucheur, F., and E. Rosen. Advertising IPv4 Network Layer Reachability Information with an IPv6 Next Hop. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5549.

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Ivanova, Iryna, and Elena Afanasieva. MODEL OF INTERACTION BETWEEN ADVERTISING, PR AND JOURNALISM. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11060.

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The article is an overview of the journalism – PR – advertising relationship at the terminological, empirical-analytical and practical levels. It traces the state of the discussion of these correlations in the post-soviet media such as Ukraine. The study describes that domesticating the importance of the appropriate partnership between the three communication technologies. The thesis is that journalism, advertising and PR create a mutual connection that takes place in an atmosphere of PR and advertising permissiveness and deepens with the development of digitalization, Social network developme

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García Carballo, Carlos. Mensajes con fines publicitarios que tornan en Relaciones Públicas en las redes sociales: el caso de Starbucks España y Cash Converters España. The messages for advertising purposes which turn in Public Relations in social networks: the case of Starbucks and Cash Converters in Spain. Revista Internacional de Relaciones Públicas, 2012. http://dx.doi.org/10.5783/rirp-4-2012-07-145-172.

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Litkowski, S., S. Agrawal, K. Ananthamurthy, and K. Patel. Advertising IPv4 Network Layer Reachability Information (NLRI) with an IPv6 Next Hop. RFC Editor, 2020. http://dx.doi.org/10.17487/rfc8950.

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Winseck, D. Growth and Upheaval in the Network Media Economy in Canada, 1984-2019. Canadian Media Concentration Research Project (CMCRP), Carleton University, 2020. http://dx.doi.org/10.22215/cmcrp/2020.1.

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This report examines the development of the media economy over the past thirty-five years. Since beginning this project a decade ago, we have focused on analyzing a comprehensive as possible selection of the biggest telecoms, Internet and media industries (based on revenue) in Canada, including: mobile wireless and wireline telecoms; Internet access; cable, satellite & IPTV; broadcast television, specialty and pay television services as well as Internet-based video subscription and download services; radio; newspapers; magazines; music; Internet advertising; social media; operating systems

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