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Relevant bibliographies by topics / Social prediction

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Dissertations / Theses

Academic literature on the topic 'Social prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Dissertations / Theses on the topic "Social prediction"

1

Hayward, Peter C., and n/a. "From individual to social foresight." Swinburne University of Technology. Australian Graduate School of Entrepreneurship, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20061108.153623.

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To this point in time humanity has successfully responded to the challenges to its existence. A viewpoint becoming widespread is that humanity will have to respond to even greater challenges to its existence in the future. If adequate responses are not formulated to these emerging challenges then a dystopian future for humanity is a strong possibility. While experience can teach us how to act in the future it is the express intent of this research that we should not have to experience dystopia in order to learn how to prevent it. The innate human capacity for foresight has played a pivotal rol

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2

Hayward, Peter. "From individual to social foresight." Australasian Digital Thesis Program, 2005. http://adt.lib.swin.edu.au/public/adt-VSWT20061108.153623.

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Thesis (PhD) -- Swinburne University of Technology, Australian Graduate School of Entrepreneurship, 2005.<br>Submitted to the fulfillment of the requirements for the degree of Doctor of Philosophy - Australian Graduate School of Entrepreneurship, Faculty of Business and Enterprise, Swinburne University of Technology, 2005. Typescript. Includes bibliographical references (p. 294-308).

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3

Pesquita, Ana. "The social is predictive : human sensitivity to attention control in action prediction." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/59076.

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Observing others is predicting others. Humans have a natural tendency to make predictions about other people’s future behavior. This predisposition sits at the basis of social cognition: others become accessible to us because we are able to simulate their internal states, and in this way make predictions about their future behavior (Blakemore & Decety, 2001). In this thesis, I examine prediction in the social realm through three main contributions. The first contribution is of a theoretical nature, the second is methodological, and the third contribution is empirical. On the theoretical plane,

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Bahceci, Oktay, and Oscar Alsing. "Stock Market Prediction using Social Media Analysis." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166448.

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Stock Forecasting is commonly used in different forms everyday in order to predict stock prices. Sentiment Analysis (SA), Machine Learning (ML) and Data Mining (DM) are techniques that have recently become popular in analyzing public emotion in order to predict future stock prices. The algorithms need data in big sets to detect patterns, and the data has been collected through a live stream for the tweet data, together with web scraping for the stock data. This study examined how three organization's stocks correlate with the public opinion of them on the social networking platform, Twitter. I

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Theriault, Jordan Eugene. "Morality as a Scaffold for Social Prediction." Thesis, Boston College, 2017. http://hdl.handle.net/2345/bc-ir:107624.

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Thesis advisor: Liane L. Young<br>Thesis advisor: Elizabeth A. Kensinger<br>Theory of mind refers to the process of representing others’ mental states. This process consistently elicits activity in a network of brain regions: the theory of mind network (ToMN). Typically, theory of mind has been understood in terms of content, i.e. representing the semantic content of someone’s beliefs. However, recent work has proposed that ToMN activity could be better understood in the context of social prediction; or, more specifically, prediction error—the difference between observed and predicted informat

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Aloufi, Samah. "Trust-aware Link Prediction in Online Social Networks." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23303.

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As people go about their lives, they form a variety of social relationships, such as family, friends, colleagues, and acquaintances, and these relationships differ in their strength, indicating the level of trust among these people. The trend in these relationships is for people to trust those who they have met in real life more than unfamiliar people whom they have only met online. In online social network sites the objective is to make it possible for users to post information and share albums, diaries, videos, and experiences with a list of contacts who are real-world friends and/or like-mi

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7

Gao, Fei. "Structure based online social network link prediction study." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/structure-based-online-social-network-link-prediction-study(41697041-bfe4-4e64-a516-1a0703cfb4bb).html.

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This thesis shed light on the Internet-based social network link prediction problem. After reviewing recent research achievements in this area, two hypotheses are introduced: (i) The performance of topology-based network prediction methods and the characteristics of the networks are correlated. (ii) As networks are dynamic, the performance of prediction can be improved by providing different treatment to different nodes and links. To verify the Hypothesis (i), we conduct experiments with six selected online social networks. The correlation coefficients are calculated between six common network

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8

Dimadi, Ioanna. "Social media sentiment analysis for firm's revenue prediction." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-363117.

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The advent of the Internet and its social media platforms have affected people’s daily life. More and more people use it as a tool in order to communicate, exchange opin-ions and share information with others. However, those platforms have not only been used for socializing but also for expressing people’s product preferences. This wide spread of social networking sites has enabled companies to take advantage of them as an important way of approaching their target audience. This thesis focuses on study-ing the influence of social media platforms on the revenue of a single organization like Nik

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9

Mallek, Sabrine. "Social Network Analysis : Link prediction under the Belief Function Framework." Thesis, Artois, 2018. http://www.theses.fr/2018ARTO0204/document.

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Les réseaux sociaux sont de très grands systèmes permettant de représenter les interactions sociales entre les individus. L'analyse des réseaux sociaux est une collection de méthodes spécialement conçues pour examiner les aspects relationnels des structures sociales. L'un des défis les plus importants dans l'analyse de réseaux sociaux est le problème de prédiction de liens. La prédiction de liens étudie l'existence potentielle de nouvelles associations parmi des entités sociales non connectées. La plupart des approches de prédiction de liens se concentrent sur une seule source d'information, c

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10

Suaysom, Natchanon. "Iterative Matrix Factorization Method for Social Media Data Location Prediction." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/hmc_theses/96.

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Since some of the location of where the users posted their tweets collected by social media company have varied accuracy, and some are missing. We want to use those tweets with highest accuracy to help fill in the data of those tweets with incomplete information. To test our algorithm, we used the sets of social media data from a city, we separated them into training sets, where we know all the information, and the testing sets, where we intentionally pretend to not know the location. One prediction method that was used in (Dukler, Han and Wang, 2016) requires appending one-hot encoding of the

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