Relevant bibliographies by topics / Tweets networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Tweets networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Tweets networks"

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Mitchell, Brett G., Philip L. Russo, Jonathan A. Otter, Martin A. Kiernan, and Landon Aveling. "What Makes a Tweet Fly? Analysis of Twitter Messaging at Four Infection Control Conferences." Infection Control & Hospital Epidemiology 38, no. 11 (2017): 1271–76. http://dx.doi.org/10.1017/ice.2017.170.

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OBJECTIVETo examine tweeting activity, networks, and common topics mentioned on Twitter at 4 international infection control and infectious disease conferences.DESIGNA cross-sectional study.METHODSAn independent company was commissioned to undertake a Twitter ‘trawl’ each month between July 1, 2016, and November 31, 2016. The trawl identified any tweets that contained the official hashtags of the conferences for (1) the UK Infection Prevention Society, (2) IDWeek 2016, (3) the Federation of Infectious Society/Hospital Infection Society, and (4) the Australasian College for Infection Prevention
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Al-Saggaf, Yeslam, Sonja Utz, and Ruoyun Lin. "Venting Negative Emotions on Twitter and The Number of Followers and Followees." International Journal of Sociotechnology and Knowledge Development 8, no. 1 (2016): 44–55. http://dx.doi.org/10.4018/ijskd.2016010103.

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Do people who express negative feelings (loneliness, sadness) on Twitter gain or lose online contacts? To answer this question, the authors tracked the number of followers and followees of people who tweeted about loneliness or sadness twice; once when they expressed the negative feeling and a second time five months later. The authors compared the networks of those users with the networks of others who either simply retweeted tweets about loneliness/sadness or (re)tweeted about the corresponding positive feelings. People expressing loneliness in their tweets, as well as people expressing sadn
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Haunschild, Robin, Lutz Bornmann, Devendra Potnis, and Iman Tahamtan. "Investigating dissemination of scientific information on Twitter: A study of topic networks in opioid publications." Quantitative Science Studies 2, no. 4 (2021): 1486–510. http://dx.doi.org/10.1162/qss_a_00168.

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Abstract While previous research has mostly focused on the “number of mentions” of scientific research on social media, the current study applies “topic networks” to measure public attention to scientific research on Twitter. Topic networks are the networks of co-occurring author keywords in scholarly publications and networks of co-occurring hashtags in the tweets mentioning those publications. We investigate which topics in opioid scholarly publications have received public attention on Twitter. Additionally, we investigate whether the topic networks generated from the publications tweeted b
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Sterner, Glenn, and Diane Felmlee. "The Social Networks of Cyberbullying on Twitter." International Journal of Technoethics 8, no. 2 (2017): 1–15. http://dx.doi.org/10.4018/ijt.2017070101.

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This research applies a social network perspective to the issue of cyber aggression, or cyberbullying, on the social media platform Twitter. Cyber aggression is particularly problematic because of its potential for anonymity, and the ease with which so many others can join the harassment of victims. Utilizing a comparative case study methodology, the authors examined thousands of Tweets to explore the use of denigrating slurs and insults contained in public tweets that target an individual's gender, race, or sexual orientation. Findings indicate cyber aggression on Twitter to be extensive and
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Sarkar, Kamal. "Sentiment Polarity Detection in Bengali Tweets Using Deep Convolutional Neural Networks." Journal of Intelligent Systems 28, no. 3 (2019): 377–86. http://dx.doi.org/10.1515/jisys-2017-0418.

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Abstract Sentiment polarity detection is one of the most popular sentiment analysis tasks. Sentiment polarity detection in tweets is a more difficult task than sentiment polarity detection in review documents, because tweets are relatively short and they contain limited contextual information. Although the amount of blog posts, tweets and comments in Indian languages is rapidly increasing on the web, research on sentiment analysis in Indian languages is at the early stage. In this paper, we present an approach that classifies the sentiment polarity of Bengali tweets using deep neural networks
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Tsugawa, Sho. "Empirical Analysis of the Relation between Community Structure and Cascading Retweet Diffusion." Proceedings of the International AAAI Conference on Web and Social Media 13 (July 6, 2019): 493–504. http://dx.doi.org/10.1609/icwsm.v13i01.3247.

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Social networks have community structure, in which the network is composed of highly clustered subnetworks (communities) with sparse links between them. Such community structure is expected to affect information diffusion among individuals. This paper empirically investigates how the community structure of a social network among Twitter users affects cascading diffusion of retweets among them. The results show that the frequency of retweets between users who are in the same community is approximately two times that between users who are in different communities. In contrast, the results also s
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Torres-Lugo, Christopher, Manita Pote, Alexander C. Nwala, and Filippo Menczer. "Manipulating Twitter through Deletions." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 1029–39. http://dx.doi.org/10.1609/icwsm.v16i1.19355.

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Research into influence campaigns on Twitter has mostly relied on identifying malicious activities from tweets obtained via public APIs. By design, these approaches ignore deleted tweets. However, bad actors can delete content strategically to manipulate the system. Here, we provide the first exhaustive, large-scale analysis of anomalous deletion patterns involving more than a billion deletions by over 11 million accounts. Estimates based on publicly available Twitter data underestimate the true deletion volume. A small fraction of accounts delete a large number of tweets daily. We uncover two
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Magelinski, Thomas, and Kathleen M. Carley. "Contextualizing Online Conversational Networks." Proceedings of the International AAAI Conference on Web and Social Media 17 (June 2, 2023): 590–601. http://dx.doi.org/10.1609/icwsm.v17i1.22171.

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Online social connections occur within a specific conversational context. Prior work in network analysis of social media data attempts to contextualize data through filtering. We propose a method of contextualizing online conversational connections automatically and illustrate this method with Twitter data. Specifically, we detail a graph neural network model capable of representing tweets in a vector space based on their text, hashtags, URLs, and neighboring tweets. Once tweets are represented, clusters of tweets uncover conversational contexts. We apply our method to a dataset with 4.5 milli
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Brassel, Sophie, Melissa Brunner, Andrew Campbell, Emma Power, and Leanne Togher. "Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis." Journal of Medical Internet Research 26 (January 19, 2024): e45168. http://dx.doi.org/10.2196/45168.

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Background Virtual reality (VR) use in brain injury rehabilitation is emerging. Recommendations for VR development in this field encourage end user engagement to determine the benefits and challenges of VR use; however, existing literature on this topic is limited. Data from social networking sites such as Twitter may further inform development and clinical practice related to the use of VR in brain injury rehabilitation. Objective This study collected and analyzed VR-related tweets to (1) explore the VR tweeting community to determine topics of conversation and network connections, (2) unders
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Rahmat, Al Fauzi, and M. Rafi. "Social Media Network Analysis on Twitter Users Network to the Pension Plan Policy." Communicare : Journal of Communication Studies 8, no. 1 (2022): 62. http://dx.doi.org/10.37535/101009120225.

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This article scrutinizes the network of Twitter users on the dissemination of tweets on the Old-Age Guarantee policy in Indonesia. A qualitative method with social media network analysis approach was used. Then, data sources were obtained from Twitter social media through #JHT_JokowiHarusTurun, #jaminanharitua, and #JHT. Furthermore, to manage data source, NVivo 12 plus software was used to analyze qualitative data from Twitter social media – including dissemination rate of tweets, followed by geographical map tweet stream, Twitter user’ network pattern, sentiment proportion, as well as words
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Dissertations / Theses on the topic "Tweets networks"

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Currie-Mueller, Jenna Lee. "?I Signed up for Twitter. Reason? Flood News.?: An Analysis of Pre-Crisis Tweets Made by Decision-Makers, Media, and the Public." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27358.

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This study examines the use of Twitter by decision-makers, the media, and the public during the pre-crisis stage of the 2013 Fargo-Moorhead flood. Three research questions guide this study in order to gain understanding of the content and assumed motives that drive users to utilize Twitter prior to a crisis. Data analysis revealed that decision-makers and the media active in tweeting were consistent with what would have been expected in a crisis situation. Additionally, the public were driven by the assumed motive of sharing and seeking information during the pre-crisis stage, consistent with
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Vatev, Kiril M. "Time to Check the Tweets: Harnessing Twitter as a Location-indexed Source of Big Geodata." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366301162.

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Rönnkvist, Lisa. "Bland feeds & tweets : svenska företags användande av sociala medier i arbetet med arbetsgivarvarumärket." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-9542.

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Studiens syfte var att beskriva och analysera i vilken utsträckning och hur de 50 största svenska företagen använder sociala medier i arbetet med deras arbetsgivarvarumärke gentemot studenter och andra potentiella arbetstagare. Det är en beskrivande studie som använt en flerfaldig forskningsstrategi där kvantitativ innehållsanalys, kvalitativ innehållsanalys och semi-strukturerade intervjuer använts för att uppnå studiens syfte. Resultatet visade att användandet av sociala medier i arbetet med deras arbetsgivarvarumärke gentemot potentiella arbetstagare är lågt bland Sveriges 50 största företa
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Abdelsadek, Youcef. "Triangle packing for community detection : algorithms, visualizations and application to Twitter's network." Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0310.

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De nos jours, nous générons une quantité immensément grande de données juste en accomplissant nos simples tâches quotidiennes. L'analyse de ces données soulève des challenges ardus. Dans cette thèse, nous nous intéressons à deux aspects des données relationnelles. En premier lieu, nous considérons les données relationnelles dans lesquelles les relations sont pondérées. Un exemple concret serait le nombre commun de suiveurs entre deux utilisateurs de Twitter. Dans un deuxième temps, nous abordons le cas dynamique de ces données qui est inhérent à leur nature. Par exemple, le nombre de suiveurs
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Abdelsadek, Youcef. "Triangle packing for community detection : algorithms, visualizations and application to Twitter's network." Electronic Thesis or Diss., Université de Lorraine, 2016. http://www.theses.fr/2016LORR0310.

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De nos jours, nous générons une quantité immensément grande de données juste en accomplissant nos simples tâches quotidiennes. L'analyse de ces données soulève des challenges ardus. Dans cette thèse, nous nous intéressons à deux aspects des données relationnelles. En premier lieu, nous considérons les données relationnelles dans lesquelles les relations sont pondérées. Un exemple concret serait le nombre commun de suiveurs entre deux utilisateurs de Twitter. Dans un deuxième temps, nous abordons le cas dynamique de ces données qui est inhérent à leur nature. Par exemple, le nombre de suiveurs
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Singh, J. P., A. Kumar, Nripendra P. Rana, and Y. K. Dwivedi. "Attention-based LSTM network for rumor veracity estimation of tweets." Springer, 2020. http://hdl.handle.net/10454/17942.

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Yes<br>Twitter has become a fertile place for rumors, as information can spread to a large number of people immediately. Rumors can mislead public opinion, weaken social order, decrease the legitimacy of government, and lead to a significant threat to social stability. Therefore, timely detection and debunking rumor are urgently needed. In this work, we proposed an Attention-based Long-Short Term Memory (LSTM) network that uses tweet text with thirteen different linguistic and user features to distinguish rumor and non-rumor tweets. The performance of the proposed Attention-based LSTM mo
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Nalamothu, Abhishek. "Abusive and Hate Speech Tweets Detection with Text Generation." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1567510940365305.

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Costa, Sayonara Melo. "Tweet: reelaboraÃÃo de gÃneros em 140 caracteres." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9323.

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Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico<br>O presente trabalho discute o processo de reelaboraÃÃo de gÃneros na formaÃÃo das postagens do Twitter. Para tanto, investigamos como o esquema de funcionamento e a dinÃmica de valores dessa rede social inspiram a manipulaÃÃo de diferentes padrÃes genÃricos que, ao serem migrados para o seu interior, sÃo submetidos ao labor de seus usuÃrios. Conduzimos nossa discussÃo à luz da anÃlise de redes sociais praticada por Recuero (2009; 2010), das reflexÃes epistemolÃgicas acerca da natureza dos gÃneros do discurso formuladas por Bakhti
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Costa, Sayonara Melo. "Tweet: reelaboração de gêneros em 140 caracteres." www.teses.ufc.br, 2012. http://www.repositorio.ufc.br/handle/riufc/8258.

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COSTA, Sayonara Melo. Tweet: reelaboração de gêneros em 140 caracteres. 2012. 119f. – Dissertação (Mestrado) – Universidade Federal do Ceará, Departamento de Letras Vernáculas, Programa de Pós-graduação em Linguística, Fortaleza (CE), 2012.<br>Submitted by Márcia Araújo (marcia_m_bezerra@yahoo.com.br) on 2014-06-10T14:17:08Z No. of bitstreams: 1 2012_dis_smcosta.pdf: 2932081 bytes, checksum: 82dd8dc3e101c6097ee8f9ba63d737f4 (MD5)<br>Approved for entry into archive by Márcia Araújo(marcia_m_bezerra@yahoo.com.br) on 2014-06-10T14:36:06Z (GMT) No. of bitstreams: 1 2012_dis_smcosta.pdf: 2932081
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Whytas, Kara Julie. "Impact of a Brand Crisis on Nation Branding: An Analysis of Tweets about VW’s Emissions Crisis." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6432.

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On September 18, 2015, the U.S. Environmental Standards Agency (EPA) filed a Notice of Violation of the Clean Air Act to the Volkswagen Group regarding software used to intentionally deceive the EPA’s emissions tests. Social media is an efficient way for organizations to release information and respond quickly during a crisis. Not only are organizations posting on social media sites, but consumers are increasingly turning to social media sites, such as Twitter, during crises to share information and opinions. The VW crisis may impact Germany’s nation brand, as predicted by more recent country-
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Books on the topic "Tweets networks"

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Tweets & status updates: Lines for all occasions. Knock Knock, 2011.

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McFedries, Paul. Twitter tips, tricks, and tweets. 2nd ed. Wiley, 2010.

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Twitter tips, tricks, and tweets. Wiley Publishing, 2009.

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Idle, Nadia. Tweets from Tahrir: Egypt's revolution as it unfolded, in the words of the people who made it. Bloomsbury Qatar Foundation, 2011.

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Tweets and consequences: 60 social media disasters in politics and how you can avert a career-ending mistake. Strategic Media Books, 2015.

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Lori, Ruff, ed. #Entry level tweet. Thinkaha, 2011.

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The celebrity tweet directory. Wiley Publishing, Inc., 2010.

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Six, Perri, Nick Goodwin, Edward Peck, and Tim Freeman. Managing Networks of Twenty-First Century Organisations. Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230286115.

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Miriam, Salpeter, ed. 100 conversations for career success: Learn to tweet, cold call, and network your way to your dream job. LearningExpress, 2012.

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Ready-- set-- Tweet!: A speedy guide to Twitter. [publisher not identified], 2010.

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Book chapters on the topic "Tweets networks"

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Nguyen, Vu H., Hien T. Nguyen, and Vaclav Snasel. "Named Entity Recognition in Vietnamese Tweets." In Computational Social Networks. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21786-4_18.

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Paule, Jorge David Gonzalez, Yeran Sun, and Piyushimita Thakuriah. "Beyond Geotagged Tweets: Exploring the Geolocalisation of Tweets for Transportation Applications." In Complex Networks and Dynamic Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75862-6_1.

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Ozdikis, Ozer, Pinar Senkul, and Halit Oguztuzun. "Context Based Semantic Relations in Tweets." In Lecture Notes in Social Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05912-9_2.

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Theocharopoulos, Panagiotis C., Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, and Vassilis P. Plagianakos. "Text Analysis of COVID-19 Tweets." In Engineering Applications of Neural Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08223-8_42.

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Lijo, V. P., and Hari Seetha. "A Fast Mode of Tweets Polarity Detection." In Lecture Notes in Networks and Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4218-3_44.

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Kodali, Jyothirlatha, Vyshnavi Kandikatla, Princy Nagati, Veena Nerendla, and M. Sreedevi. "Irrelevant Racist Tweets Identification Using Data Mining Techniques." In Computer Networks and Inventive Communication Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3728-5_15.

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Shivankar, Pooja Sureshappa, Ganesh K. Pakle, and Madhav V. Vaidya. "Classification of Sentiment Analysis of Tweets on Twitter." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0838-7_2.

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Bekkali, Mohammed, and Abdelmonaime Lachkar. "Web Search Engine-Based Representation for Arabic Tweets Categorization." In Lecture Notes in Social Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51367-6_4.

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Mardi, Vanyashree, Anvaya Kini, V. M. Sukanya, and S. Rachana. "Text-Based Spam Tweets Detection Using Neural Networks." In Advances in Computing and Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0222-4_37.

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Sailunaz, Kashfia, Tansel Özyer, Jon Rokne, and Reda Alhajj. "Text-Based Analysis of Emotion by Considering Tweets." In Machine Learning Techniques for Online Social Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89932-9_11.

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Conference papers on the topic "Tweets networks"

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Cui, Renhao, Gagan Agrawal, and Rajiv Ramnath. "Tweets can tell." In ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining. ACM, 2019. http://dx.doi.org/10.1145/3341161.3342935.

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Katragadda, Satya, Ryan Benton, and Vijay Raghavan. "Sub-event detection from tweets." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7966112.

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Baillargeon, Sophie, Simon Halle, and Christian Gagne. "Stream clustering of tweets." In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2016. http://dx.doi.org/10.1109/asonam.2016.7752399.

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Cristiani, André, Douglas Lieira, and Heloisa Camargo. "A Sentiment Analysis of Brazilian Elections Tweets." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11971.

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The internet connection is present in people’s lives all the time, through smartphones, tablets, computers, among others. The use of social networks is increasingly common around the world. Many companies and people use them to spread products and services and publish opinions, facts that have turned the social networks into powerful sources of information on various topics. Identifying these feelings is a great strategy for many types of decision making. Thus, the purpose of this paper is to collect messages from a specific social network, in this case Twitter, referring to the 2018 Brazilian
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Zhao, Zhou, Lingtao Meng, Jun Xiao, et al. "Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/442.

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Retweet prediction is a challenging problem in social media sites (SMS). In this paper, we study the problem of image retweet prediction in social media, which predicts the image sharing behavior that the user reposts the image tweets from their followees. Unlike previous studies, we learn user preference ranking model from their past retweeted image tweets in SMS. We first propose heterogeneous image retweet modeling network (IRM) that exploits users' past retweeted image tweets with associated contexts, their following relations in SMS and preference of their followees. We then develop a nov
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Oumi, Nour Al, Lilac Al Safadi, and Henda Chorfi. "Mining Tweets to Indicate Hidden/Potential Networks." In 2018 21st Saudi Computer Society National Computer Conference (NCC). IEEE, 2018. http://dx.doi.org/10.1109/ncg.2018.8593196.

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Janssens, Olivier, Maarten Slembrouck, Steven Verstockt, Sofie Van Hoecke, and Rik Van de Walle. "Real-time emotion classification of Tweets." In ASONAM '13: Advances in Social Networks Analysis and Mining 2013. ACM, 2013. http://dx.doi.org/10.1145/2492517.2492577.

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Xu, Jian, and Nitesh V. Chawla. "Mining Features Associated with Effective Tweets." In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. ACM, 2017. http://dx.doi.org/10.1145/3110025.3110126.

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Wegrzyn-Wolska, Katarzyna, and Lamine Bougueroua. "Tweets mining for French Presidential Election." In 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN). IEEE, 2012. http://dx.doi.org/10.1109/cason.2012.6412392.

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Ouchene, Lamia, and Sadik Bessou. "Sentiment analysis for Algerian Dialect tweets." In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2022. http://dx.doi.org/10.1109/cicn56167.2022.10008314.

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Reports on the topic "Tweets networks"

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Tian, Cong, Jianlong Shu, Wenhui Shao, Zhengxin Zhou, Huayang Guo та Jingang Wang. The efficacy and safety of IL Inhibitors, TNF-α Inhibitors, and JAK Inhibitor on ankylosing spondylitis: A Bayesian network meta-analysis of a “randomized, double-blind, placebo-controlled” trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0117.

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Review question / Objective: In this study, we conducted a Bayesian network meta-analysis to evaluate the efficacy and safety of interleukin (IL) inhibitors, tumor necrosis factor-alpha (TNF-α) inhibitors, and Janus kinase (JAK) inhibitors on ankylosing spondylitis (AS).The purpose of this study is to compare the effectiveness and safety of different interventions for treating AS to provide insights into the decision-making in clinicalpractice. Condition being studied: Ankylosing spondylitis. Based on the Bayesian hierarchical model, we conducted a network meta-analysis using the gemtc package
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Galli, Mattia, Massimo Scaglioni, Anna Sfardini, and Paolo Carelli. Communications, media and internet concentration in Italy, 2019-2021. Global Media and Internet Concentration Project, Carleton University, 2024. http://dx.doi.org/10.22215/gmicp/2024.1.

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This report scrutinizes revenue and concentration trends in Italian media industries from 2019 to 2021, following the Global Media and Internet Concentration Project (GMICP) blueprint. Twenty-seven industries are categorized into three macro-sectors: Telecommunications and Internet Access, Online and Traditional Media, and Core Internet Applications. Key findings include the Italian network media economy's worth of 47.385 billion EUR in 2021, a 3.5% drop from 2019 due to declines in traditional media, countered by digital industry growth. Wireless remains the largest sector, but core GAFAM and
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Ward, Kimiora. Sierra Nevada Network white pine monitoring: 2022 annual report. National Park Service, 2023. http://dx.doi.org/10.36967/2301003.

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Five-needle white pines (Family Pinaceae, Genus Pinus, Subgenus Strobus), and in particular whitebark pine (Pinus albicaulis), limber pine (P. flexilis), and foxtail pine (P. balfouriana) are foundation species in upper subalpine and treeline forests of several National Park Service Pacific West Region parks, including Sequoia and Kings Canyon National Parks (SEKI) and Yosemite National Park (YOSE). The Sierra Nevada Network Inventory &amp; Monitoring Program, in collaboration with the Klamath Network, Upper Columbia Basin Network, and Mojave Desert Network have implemented a joint long-term m
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Knibb, Rebecca, Lily Hawkins, and Dan Rigby. Food Sensitive Study: Wave Two Survey. Food Standards Agency, 2022. http://dx.doi.org/10.46756/sci.fsa.nyx192.

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Food hypersensitivities (FH) include food allergy, food intolerance and coeliac disease. Food allergy and coeliac disease involve an immune mediated reaction to certain foods; food intolerance is caused by a non-immune mediated reaction (such as an enzymatic or pharmacological effect). Each of these FHs result in unpleasant symptoms if the food is eaten in sufficient quantity, with food allergic reactions sometimes resulting in life-threatening symptoms. Management of FH by an individual or members of their family therefore involves constant vigilance and risk assessment to determine if a food
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Rajagopal, Arudi, John Mercurio, Aric Morse, and Roger Green. Development of Potential Strategies for Unmarked and Low Traffic Volume Roadways in Illinois. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-013.

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The present study was initiated by the Illinois Department of Transportation (IDOT) to better understand characteristics of roadway segments categorized as unmarked in IDOT’s Transportation Asset Management Plan and to suggest recommendations to manage, vacate, abandon, retain, or transfer individual routes. The researchers developed a methodology, labeled JARM, to identify potential candidates for jurisdictional transfer, abandonment (or vacation), reconfiguration, or maintenance. The JARM methodology is an easy-to-use and stand-alone spreadsheet tool for IDOT districts. It includes all unmar
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Barjum, Daniel. PDIA for Systems Change: Tackling the Learning Crisis in Indonesia. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-ri_2022/046.

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Indonesia is facing a learning crisis. While schooling has increased dramatically in the last 30 years, the quality of education has remained mediocre (Rosser et al., 2022). Teacher capability is an often cited weakness of the system, along with policies and system governance. Approaches focused primarily on adding resources to education have not yielded expected outcomes of increased quality. “It is a tragedy that in the second decade of the twenty-first century, some children in Indonesia are not completing primary school and are turned out into the workforce as functional illiterates.” (Sur
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Chriscoe, Mackenzie, Rowan Lockwood, Justin Tweet, and Vincent Santucci. Colonial National Historical Park: Paleontological resource inventory (public version). National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2291851.

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Colonial National Historical Park (COLO) in eastern Virginia was established for its historical significance, but significant paleontological resources are also found within its boundaries. The bluffs around Yorktown are composed of sedimentary rocks and deposits of the Yorktown Formation, a marine unit deposited approximately 4.9 to 2.8 million years ago. When the Yorktown Formation was being deposited, the shallow seas were populated by many species of invertebrates, vertebrates, and micro-organisms which have left body fossils and trace fossils behind. Corals, bryozoans, bivalves, gastropod
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Werny, Rafaela, Marie Reich, Miranda Leontowitsch, and Frank Oswald. EQualCare Policy Report Germany : Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone. Frankfurter Forum für interdisziplinäre Alternsforschung, Goethe-Universität Frankfurt am Main, 2022. http://dx.doi.org/10.21248/gups.69905.

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The policy review is part of the project EQualCare: Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone, a three-year international project involving four countries: Finland, Germany, Latvia and Sweden. EQualCare interrogates inequalities by gender, cultural and socio-economic background between countries, with their different demographics and policy backgrounds. As a first step into empirical analysis, the policy review aims to set the stage for a better understanding of, and policy development on, the intersections of digita
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Financial Stability Report - First Half of 2022. Banco de la República, 2023. http://dx.doi.org/10.32468/rept-estab-fin.sem1.eng-2022.

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Banco de la República’s main objective is to preserve the purchasing power of the currency in coordination with the general economic policy that is intended to stabilize output and employment at long-term sustainable levels. Properly meeting the goal assigned to the Bank by the 1991 Constitution critically depends on preserving financial stability. This is understood to be a general condition in which the financial system evaluates and manages the financial risks in a way that facilitates the economy’s performance and efficient allocation of resources while, at the same time, it is able to, on
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