Добірка наукової літератури з теми "Social group discovery"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Social group discovery".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Social group discovery"
Li, Wei, and Sisi Zlatanova. "Significant Geo-Social Group Discovery over Location-Based Social Network." Sensors 21, no. 13 (July 2, 2021): 4551. http://dx.doi.org/10.3390/s21134551.
Повний текст джерелаAtton, N., W. Hoppitt, M. M. Webster, B. G. Galef, and K. N. Laland. "Information flow through threespine stickleback networks without social transmission." Proceedings of the Royal Society B: Biological Sciences 279, no. 1745 (August 15, 2012): 4272–78. http://dx.doi.org/10.1098/rspb.2012.1462.
Повний текст джерелаKhan, Abeer, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, and Morteza Zihayat. "Compact group discovery in attributed graphs and social networks." Information Processing & Management 57, no. 2 (March 2020): 102054. http://dx.doi.org/10.1016/j.ipm.2019.102054.
Повний текст джерелаSATO, Ryota, Hitoshi HABE, Ikuhisa MITSUGAMI, Satoru SATAKE, Kazuhiko SUMI, and Yasushi YAGI. "Social Group Discovery Extracting Useful Features using Multiple Instance Learning." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 28, no. 6 (2016): 920–31. http://dx.doi.org/10.3156/jsoft.28.920.
Повний текст джерелаBródka, Piotr, Stanisław Saganowski, and Przemysław Kazienko. "GED: the method for group evolution discovery in social networks." Social Network Analysis and Mining 3, no. 1 (March 21, 2012): 1–14. http://dx.doi.org/10.1007/s13278-012-0058-8.
Повний текст джерелаSaganowski, Stanisław, Piotr Bródka, and Przemysław Kazienko. "Influence of the User Importance Measure on the Group Evolution Discovery." Foundations of Computing and Decision Sciences 37, no. 4 (December 1, 2012): 293–303. http://dx.doi.org/10.2478/v10209-011-0017-6.
Повний текст джерелаTuomchomtam, Sarach, and Nuanwan Soonthornphisaj. "Demographics and Personality Discovery on Social Media: A Machine Learning Approach." Information 12, no. 9 (August 30, 2021): 353. http://dx.doi.org/10.3390/info12090353.
Повний текст джерелаAtton, N., B. J. Galef, W. Hoppitt, M. M. Webster, and K. N. Laland. "Familiarity affects social network structure and discovery of prey patch locations in foraging stickleback shoals." Proceedings of the Royal Society B: Biological Sciences 281, no. 1789 (August 22, 2014): 20140579. http://dx.doi.org/10.1098/rspb.2014.0579.
Повний текст джерелаXu, Min, Yuan Zhang, Mei Qi Fang, and Ning Li. "An Intelligent Personalized Learning Model Based on Community Discovery Method." Advanced Materials Research 159 (December 2010): 248–51. http://dx.doi.org/10.4028/www.scientific.net/amr.159.248.
Повний текст джерелаKasson, Erin, Melissa M. Vázquez, Christine Doroshenko, Ellen E. Fitzsimmons-Craft, Denise E. Wilfley, C. Barr Taylor, and Patricia A. Cavazos-Rehg. "Exploring Social Media Recruitment Strategies and Preliminary Acceptability of an mHealth Tool for Teens with Eating Disorders." International Journal of Environmental Research and Public Health 18, no. 15 (July 28, 2021): 7979. http://dx.doi.org/10.3390/ijerph18157979.
Повний текст джерелаДисертації з теми "Social group discovery"
Lehaire, Benjamin. "L'action privée en droit des pratiques anticoncurrentielles : pour un recours effectif des entreprises et des consommateurs en droits français et canadien." Thesis, Université Laval, 2014. http://www.theses.fr/2014LAROD002/document.
Повний текст джерелаRegulation of competition is dualistic in France and Canada. On one side, public authority frame the market and impose sanction, if appropriate, to the practices contrary to existing legislation, and, on other side, the victims injured by antitrust practices, that is consumers and company, may bring a private procecussion based on the liability to obtain a compensation for the antitrust injury. They are respectively of public action and private action, also referred to as public enforcement and private enforcement of competition law. However, in the European Union, and particularly in France, the antitrust harm has no effective remedy. Indeed, in France, consumers had not, until the adoption of the collective redress, procedural means to access the judge of compensation. In addition, the French civil law proves too rigid to allow compensation for something as complex as the competitive harm. For its thinking about it, the French legislator has often turned to the Canadian and Quebec models to reform its bicentenary civil law. Indeed, the Quebec civil law is particularly flexible in disputes related to competition law. In addition, the Canadian Competition Act provides a right to compensation adapted to the constraints of the victims of anticompetitive practices. The author has sought to understand how the Canadian private enforcement mechanism works to assess whether this model, through the Quebec civil law, could inspire a reform of French civil law model adopted by the legislature in particular during the introduction of collective redress. The analysis is primarily civil law to allow a reading of private action that departs from conventional stereotypes of the American experience in this field. The ultimate goal of this comparison is to make effective use of the private businesses and consumers in French and Canadian rights following an injury resulting from a violation of anti-competitive practices
Nielsen, Teresa Raynor. "Teen playlist: music discovery, production, and sharing among a group of high school students." Thesis, 2016. https://hdl.handle.net/2144/19561.
Повний текст джерелаBAZZANI, Loris. "BEYOND MULTI-TARGET TRACKING: STATISTICAL PATTERN ANALYSIS OF PEOPLE AND GROUPS." Doctoral thesis, 2012. http://hdl.handle.net/11562/410136.
Повний текст джерелаEvery day millions and millions of surveillance cameras monitor the world, recording and collecting huge amount of data. The collected data can be extremely useful: from the behavior analysis to prevent unpleasant events, to the analysis of the traffic. However, these valuable data is seldom used, because of the amount of information that the human operator has to manually attend and examine. It would be like looking for a needle in the haystack. The automatic analysis of data is becoming mandatory for extracting summarized high-level information (e.g., John, Sam and Anne are walking together in group at the playground near the station) from the available redundant low-level data (e.g., an image sequence). The main goal of this thesis is to propose solutions and automatic algorithms that perform high-level analysis of a camera-monitored environment. In this way, the data are summarized in a high-level representation for a better understanding. In particular, this work is focused on the analysis of moving people and their collective behaviors. The title of the thesis, beyond multi-target tracking, mirrors the purpose of the work: we will propose methods that have the target tracking as common denominator, and go beyond the standard techniques in order to provide a high-level description of the data. First, we investigate the target tracking problem as it is the basis of all the next work. Target tracking estimates the position of each target in the image and its trajectory over time. We analyze the problem from two complementary perspectives: 1) the engineering point of view, where we deal with problem in order to obtain the best results in terms of accuracy and performance. 2) The neuroscience point of view, where we propose an attentional model for tracking and recognition of objects and people, motivated by theories of the human perceptual system. Second, target tracking is extended to the camera network case, where the goal is to keep a unique identifier for each person in the whole network, i.e., to perform person re-identification. The goal is to recognize individuals in diverse locations over different non-overlapping camera views or also the same camera, considering a large set of candidates. In this context, we propose a pipeline and appearance-based descriptors that enable us to define in a proper way the problem and to reach the-state-of-the-art results. Finally, the higher level of description investigated in this thesis is the analysis (discovery and tracking) of social interaction between people. In particular, we focus on finding small groups of people. We introduce methods that embed notions of social psychology into computer vision algorithms. Then, we extend the detection of social interaction over time, proposing novel probabilistic models that deal with (joint) individual-group tracking.
Jonas, Ruth. "Narratives of pastoral care, healing and transformation in a community of laity a practical theological narrative study." Thesis, 2010. http://hdl.handle.net/2263/28981.
Повний текст джерелаThesis (PhD)--University of Pretoria, 2010.
Practical Theology
unrestricted
Книги з теми "Social group discovery"
Susan, Pendergast, ed. Belonging: A guide for group facilitators : self and social discovery for children of all ages. San Luis Obispo, Calif: Belonging, 1988.
Знайти повний текст джерелаShen, Hua-Wei. Community Structure of Complex Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Знайти повний текст джерелаGreen, Tova. Insight and action: How to discover and support a life of integrity and commitment to change. Philadelphia, Pa: New Society Publishers, 1994.
Знайти повний текст джерелаSubrahmanian, V. S. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba: Lashkar-e-Taiba. New York, NY: Springer New York, 2013.
Знайти повний текст джерелаOfford, Derek, Vladislav Rjéoutski, and Gesine Argent. The French Language in Russia. NL Amsterdam: Amsterdam University Press, 2018. http://dx.doi.org/10.5117/9789462982727.
Повний текст джерелаDan, Miller, and Bocher Buzz, eds. The processing pinnacle: An educator's guide to better processing. Oklahoma City, OK: Wood 'N' Barnes Publishing, 2006.
Знайти повний текст джерелаThorkildsen, Theresa A. Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.
Знайти повний текст джерелаThorkildsen, Theresa A. Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.
Знайти повний текст джерелаAdolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.
Знайти повний текст джерелаThorkildsen, Theresa A. Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.
Знайти повний текст джерелаЧастини книг з теми "Social group discovery"
Moscovici, Serge. "The Discovery of Group Polarization." In Social Judgment and Intergroup Relations, 107–27. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2860-8_5.
Повний текст джерелаOmidvar-Tehrani, Behrooz, Sihem Amer-Yahia, Pierre-Francois Dutot, and Denis Trystram. "Multi-Objective Group Discovery on the Social Web." In Machine Learning and Knowledge Discovery in Databases, 296–312. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46128-1_19.
Повний текст джерелаShuai, Hong-Han, De-Nian Yang, Philip S. Yu, and Ming-Syan Chen. "Scale-Adaptive Group Optimization for Social Activity Planning." In Advances in Knowledge Discovery and Data Mining, 45–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18038-0_4.
Повний текст джерелаYang, Chunfeng, Yipeng Zhou, Liang Chen, Xiaopeng Zhang, and Dah Ming Chiu. "Social Group Based Video Recommendation Addressing the Cold-Start Problem." In Advances in Knowledge Discovery and Data Mining, 515–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31750-2_41.
Повний текст джерелаLouati, Amine, Joyce El Haddad, and Suzanne Pinson. "A Distributed Decision Making and Propagation Approach for Trust-Based Service Discovery in Social Networks." In Group Decision and Negotiation. A Process-Oriented View, 262–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07179-4_30.
Повний текст джерелаProverbio, Alice Mado, and Alberto Zani. "Mirror Neurons in Action: ERPs and Neuroimaging Evidence." In Social and Affective Neuroscience of Everyday Human Interaction, 65–84. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08651-9_5.
Повний текст джерелаZhang, Huiqi, and Ram Dantu. "Discovery of Social Groups Using Call Detail Records." In On the Move to Meaningful Internet Systems: OTM 2008 Workshops, 489–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88875-8_72.
Повний текст джерелаNoterman, Astrid A., and Alison Klevnäs. "In Search of an Acceptable Past: History, Archaeology, and ‘Looted’ Graves in the Construction of the Frankish Early Middle Ages." In Bioarchaeology and Social Theory, 133–66. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03956-0_6.
Повний текст джерелаHardon, Anita. "Chemical Breath." In Critical Studies in Risk and Uncertainty, 81–111. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57081-1_3.
Повний текст джерелаChiyangwa, Betty, and Pragna Rugunanan. "Experiences of Mozambican Migrant Children in Bushbuckridge, Mpumalanga, South Africa." In IMISCOE Research Series, 169–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92114-9_12.
Повний текст джерелаТези доповідей конференцій з теми "Social group discovery"
Brodka, Piotr, Stanislaw Saganowski, and Przemyslaw Kazienko. "Group Evolution Discovery in Social Networks." In 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011). IEEE, 2011. http://dx.doi.org/10.1109/asonam.2011.69.
Повний текст джерелаMardenfeld, Steve, Daniel Boston, Susan Juan Pan, Quentin Jones, Adriana Iamntichi, and Cristian Borcea. "GDC: Group Discovery Using Co-location Traces." In 2010 IEEE Second International Conference on Social Computing (SocialCom). IEEE, 2010. http://dx.doi.org/10.1109/socialcom.2010.99.
Повний текст джерелаHuang, Shu. "Mixed Group Discovery: Incorporating Group Linkage with Alternatively Consistent Social Network Analysis." In 2010 IEEE Fourth International Conference on Semantic Computing (ICSC). IEEE, 2010. http://dx.doi.org/10.1109/icsc.2010.26.
Повний текст джерелаShang, Xufeng, and Yubo Yuan. "Social Network Analysis in Multiple Social Networks Data for Criminal Group Discovery." In 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2012. http://dx.doi.org/10.1109/cyberc.2012.14.
Повний текст джерелаEbeling, Régis, Carlos Córdova Sáenz, Jeferson Campos Nobre, and Karin Becker. "Quarenteners vs. Cloroquiners: a framework to analyze the effect of political polarization on social distance stances." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11963.
Повний текст джерелаFard, Amin Milani, and Martin Ester. "Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.435.
Повний текст джерелаSaisan, Payam, Anne Russell, Mark Clark, and Stephen Krotosky. "System Theoretic Formalization of Social Group Processes and Optimal Evidence-Indicator Discovery." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.446.
Повний текст джерелаHe, Jianping, David J. Miller, and George Kesidis. "Latent Interest-Group Discovery and Management by Peer-to-Peer Online Social Networks." In 2013 International Conference on Social Computing (SocialCom). IEEE, 2013. http://dx.doi.org/10.1109/socialcom.2013.31.
Повний текст джерелаChen, Lu, Chengfei Liu, Rui Zhou, Jiajie Xu, Jeffrey Xu Yu, and Jianxin Li. "Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403114.
Повний текст джерелаSharma, Karishma, Yizhou Zhang, Emilio Ferrara, and Yan Liu. "Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447548.3467391.
Повний текст джерелаЗвіти організацій з теми "Social group discovery"
Shaw, Kristi Lee, and Geoff Bridgman. Creating Appreciation and Community Support for Mothers Caring for a Child with an Anxiety Disorder. Unitec ePress, February 2023. http://dx.doi.org/10.34074/mono.097.
Повний текст джерелаCorriveau, L., J. F. Montreuil, O. Blein, E. Potter, M. Ansari, J. Craven, R. Enkin, et al. Metasomatic iron and alkali calcic (MIAC) system frameworks: a TGI-6 task force to help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329093.
Повний текст джерела