Essays On Learning In Social Networks
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Essays On Learning In Social Networks
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Author : Pooya Molavi
language : en
Publisher:
Release Date : 2013
Essays On Learning In Social Networks written by Pooya Molavi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Essays On Social Networks Participation And Outcomes In Education
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Author : Greg Michal Bulczak
language : en
Publisher:
Release Date : 2012
Essays On Social Networks Participation And Outcomes In Education written by Greg Michal Bulczak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Three Essays On Social Networks And Schools
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Author : Yunzheng Zheng
language : en
Publisher:
Release Date : 2022
Three Essays On Social Networks And Schools written by Yunzheng Zheng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Academic achievement categories.
Researchers have been increasingly interested in the phenomenon of social networks in education, a research area that provides more opportunities to study the relationships among individuals or organizations in our educational system. The goal of this dissertation was to understand the effect of various social networks on outcomes by investigating various relationships in the educational system. To achieve the goal, three distinct, but related, essays comprised this dissertation. In the first essay, I examined the effects of interschool networks on student achievement. By using the data collected from the High Impact Leadership (HIL) program and employing the hierarchical linear model (HLM) method, I investigated how different interschool relationships, indicated by various interschool network measures, were associated with student mathematics and reading achievement, and the growth of student mathematics and reading achievement. Key findings included (a) schools that reported to have a stronger relationship with other schools had better, and more growth in, mathematics achievement; (b) schools with reciprocal relationships had better, and more growth in, mathematics and reading achievement; and (c) schools connected to more influential schools in the network had better, and more growth in, mathematics and reading achievement. In the second essay, I inquired into the relationship between teacher-to-teacher relationships and student achievement. By using the meta-analysis method, I specifically focused on (a) the relationship between teacher's individual relationship with other teachers and student mathematics and reading achievement; (b) the relationship between teacher-to-teacher relationship at the organization level (i.e., school or grade team) and student mathematics and reading achievement; and (c) how three frequently used theoretical frameworks in studying teacher-to-teacher relationships--teacher network, teacher collaboration and professional learning community (PLC), at either individual or organizational level--were related to student mathematics and reading achievement. Key findings included (a) teachers' individual relationships were not related to student achievement; (b) the relationships in schools or grade teams were significantly positively related to student mathematics and reading achievement; and (c) at the organizational level, different theoretical frameworks were not related to the level of student achievement, but did result in different levels of heterogeneity (i.e., heterogeneity was low for PLCs and teacher networks and was high for teach collaborations). In the third essay, I conducted a meta-analysis study on the relationship between (a) principals' network position in school-wide networks, measured by principals' degree centrality, and (b) school leadership, trust and innovation climate. I found that principals' network position had a strong positive relationship with leadership climate and a moderate relationship with trust and innovation climate, with low to moderate level of heterogeneity. The findings in the three essays have implications for policy, practice, and research. From the perspectives of policy and practice, generally speaking social networks in education are associated with better outcomes, and should be promoted in the educational system. Social networks appear to be an important vehicle to improve outcomes in the context of the bifurcated educational system. Directions for future research were also discussed.
Three Essays On Network Effects In Online Social Networks
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Author : Christopher Rojas
language : en
Publisher:
Release Date : 2019
Three Essays On Network Effects In Online Social Networks written by Christopher Rojas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
In my dissertation, I focus on estimating network effects in online social networks, using observational data. In the first chapter of my dissertation, coauthored with David Easley and Eleonora Patacchini, we analyze the effect of peer influence on item adoption decisions on GitHub. The second chapter of my dissertation focuses on gender disparities in contributions and social network formation patterns on GitHub. The third chapter of my dissertation studies peer effects on video-game playing decisions on Steam. In each of the chapters of my dissertation, I deal with social selection by incorporating a machine learning algorithm, popular in online recommendation systems, to predict individual preferences based on previous adoption decisions.
Essays On Social Networks In Development Economics
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Author : Arun Gautham Chandrasekhar
language : en
Publisher:
Release Date : 2012
Essays On Social Networks In Development Economics written by Arun Gautham Chandrasekhar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
(cont.) substitutes for commitment. On net, savings allows individuals to smooth risk that cannot be shared interpersonally, with the largest benefits for those who are weakly connected in the network. The final chapter (co-authored with my classmates Horacio Larreguy and Juan Pablo Xandri) attempts to determine which models of social learning on networks best describe empirical behavior. Theory has focused on two leading models of social learning on networks: Bayesian and DeGroot rules of thumb learning. These models can yield greatly divergent behavior; individuals employing rules of thumb often double-count information and may not exhibit convergent behavior in the long run. By conducting a unique lab experiment in rural Karnataka, India, set up to exactly differentiate between these two models, we test which model best describes social learning processes on networks. We study experiments in which seven individuals are placed into a network, each with full knowledge of its structure. The participants attempt to learn the underlying (binary) state of the world. Individuals receive independent, identically distributed signals about the state in the first period only; thereafter, individuals make guesses about the underlying state of the world and these guesses are transmitted to their neighbors at the beginning of the following round. We consider various environments including incomplete information Bayesian models and provide evidence that individuals are best described by DeGroot models wherein they either take simple majority of opinions in their neighborhood.
Essays On Social Networks Participation And Outcomes In Education
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Author : Grzegorz Bulczak
language : en
Publisher:
Release Date : 2012
Essays On Social Networks Participation And Outcomes In Education written by Grzegorz Bulczak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
This thesis explores the role of social networks in determining adolescents' outcomes in schools. The thesis consists of three papers that seek to empirically test how characteristic of friendship networks and peers affect adolescents' choices and performance in education. The main goal of the first paper is to estimate the effects of ego's friends age diversity on academic performance. The findings provide evidence that having an age diversified friendship network results in significantly worse academic outcomes. Contrary to the previous research, no evidence is found that having a best friend of a different age, or a group of friends of average age that differs from an individual's age is associated with worse outcomes in education. This paper addresses concerns about self-selection into networks and unobserved school level differences by using within-school variation and instrumental variable methods. The findings remain robust after the sample is limited to students with no criminal background and those that are in the expected grade for their given age. In the second paper a hypothesis that more interconnected networks (those with high density of friendships) positively impact on adolescents' school performance due to more scope for norms and sanctions, is tested. The findings provide evidence that for an individual having a close network during high school results in significantly better academic outcomes. Individuals with friends that know each other are found to be more likely to go to college. This examination addresses concerns about self-selection into networks and unobserved school level differences. Instrumental variable approach is used to investigate the effects of closure on college attendance. The effects of closure on years of schooling are found to persist for both low and high quality networks. The findings remain robust for samples consisting of non-white and white individuals. The last paper takes a closer look at participation in extracurricular activities, a factor that is likely to influence network formation. In this chapter, the role of community composition in determining participation outcomes is examined. This investigation provides evidence suggesting that racial composition of communities affects adolescents' participation in school extracurricular activities. The main contribution of this chapter is that problems related to sorting within communities and selection into schools, are carefully addressed.
Advantages And Disadvantages Of Using Social Networks In Business
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Author : Caroline Mutuku
language : en
Publisher: GRIN Verlag
Release Date : 2018-02-08
Advantages And Disadvantages Of Using Social Networks In Business written by Caroline Mutuku and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-08 with Business & Economics categories.
Essay from the year 2017 in the subject Business economics - Marketing, Corporate Communication, CRM, Market Research, Social Media, grade: 1.8, , language: English, abstract: In the contemporary world, there is no business without communication. To most entrepreneurs in the 21st century, social media use in business is seemingly the "next big thing". The emergence of an online technology that allows reaching of big crowds without necessarily meeting them has presented a temporary yet essential fad that ought to be appropriately made use of while it is still in the spotlight. To this group of entrepreneurs, reaching out the virtual market has presented itself as a stepping-stone to, not only establish their brands, but also to make it earn acceptance in the market. Others have even gone further to establish online shops where customers can easily order and wait for their products to be delivered without having to necessarily visit the product stores. Unfortunately, however, there exists a population to which social media marketing is a buzzword without any practical advantage and steep. They envision it to be a complicated learning curve that further makes their business life unexpectedly complex. With regards to the different approaches to social media, this paper will look at both the negative and the positive aspects of using social media as a tool for running business operations.
Essays On Machine Learning In International Conflict And Social Networks
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Author : Daniel N. Kent
language : en
Publisher:
Release Date : 2020
Essays On Machine Learning In International Conflict And Social Networks written by Daniel N. Kent and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with International relations categories.
This dissertation leverages developments in machine learning methods to better model networked social processes, with an emphasis on international politics. The first chapter develops a dataset with estimates for every country's level of dissatisfaction with the international system from 1816-2012. The second chapter takes these dissatisfaction measures and uses them as features in a machine learning model which predicts international conflict onset. The third chapter explores spillover effects in social networks, demonstrating how causal forests can be employed to uncover spillover effect heterogeneity. Across these chapters, machine learning techniques are instrumental in modeling outcomes of interest and leveraging information from social networks.
Social Networks An Essay
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Author : Patrick Pearse
language : en
Publisher: GRIN Verlag
Release Date : 2014-03-17
Social Networks An Essay written by Patrick Pearse and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-17 with Computers categories.
Dana M Boyd describes the online social networks as “web-based services that allow people to build a public or public-private profile within a bounded system, to establish a list of other users with whom they share a connection, and to examine the list of links created by other users in the system.” In social networks the goal is understanding, establishing and maintaining contacts, or working on a specific cause. The typical and widely-known social networks are Facebook, Linkedin, Myspace, etc. Another definition of the term “social network” says that “The social network is a social structure of nodes (representing mostly individuals or organizations) linked by specific types of nodes such as ideas, opinions, financial benefits, friendship, tradition, hyperlinks and more. In its simplest form, the social network is a map of all the relative links between nodes that are being studied. These concepts are usually represented by a social network diagram, where nodes are the points and ties are the lines.”
Essays On Social Media Social Influence And Social Comparison
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Author : Qian Tang
language : en
Publisher:
Release Date : 2013
Essays On Social Media Social Influence And Social Comparison written by Qian Tang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Social networking and social media technologies have greatly changed the way information is created and transmitted. Social media has made content contribution an efficient approach for individual brand building. With abundant user generated content and social networks, content consumers are constantly subject to social influence. Such social influence can be further utilized to encourage pro-social behavior. Chapter 1 examines the incentives for content contribution in social media. We propose that exposure and reputation are the major incentives for contributors. Besides, as more and more social media websites offer advertising-revenue sharing with some of their contributors, shared revenue provides an extra incentive for contributors who have joined revenue-sharing programs. We develop a dynamic structural model to identify a contributor's underlying utility function from observed contribution behavior. We recognize the dynamic nature of the content-contribution decision--that contributors are forward-looking, anticipating how their decisions impact future rewards. Using data collected from YouTube, we show that content contribution is driven by a contributor's desire for exposure, revenue sharing, and reputation and that the contributor makes decisions dynamically. Chapter 2 examines how social influence impact individuals' content consumption decisions in social network. Specifically, we consider social learning and network effects as two important mechanisms of social influence, in the context of YouTube. Rather than combining both social learning and network effects under the umbrella of social contagion or peer influence, we develop a theoretical model and empirically identify social learning and network effects separately. Using a unique data set from YouTube, we find that both mechanisms have statistically and economically significant effects on video views, and which mechanism dominates depends on the specific video type. Chapter 3 studies incentive mechanism to improve users' pro-social behavior based on social comparison. In particular, we aim to motivate organizations to improve Internet security. We propose an approach to increase the incentives for addressing security problems through reputation concern and social comparison. Specifically, we process existing security vulnerability data, derive explicit relative security performance information, and disclose the information as feedback to organizations and the public. To test our approach, we conducted a field quasi-experiment for outgoing spam for 1,718 autonomous systems in eight countries. We found that the treatment group subject to information disclosure reduced outgoing spam approximately by 16%. Our results suggest that social information and social comparison can be effectively leveraged to encourage desirable behavior.