[PDF] Top 20 Essays on Learning in Social Networks

... of learning to analyze the long run dynamics of the beliefs under conditions that essentially correspond to the polar opposite of uniform infor- mativeness ordering of signal ...for learning—in the sense ... See full document

... humans’ learning rules? The two essays in this thesis address the question on optimality of learning rules under state uncertainty, in which agents sequentially esti- mates hidden state variables ... See full document

... of social networks in the field of education to support learning and teaching have also been accelerated and ...diversified. Social networks can also contain some security issues ... See full document

... of social support. The present paper explores qualitatively the social networks of six adults with learning difficulties (adults), selected from a sample of 32 because of the strategies which ... See full document

... which social networks behave in the physical world, which includes the way they form, evolve and support the students through the learning ...as learning has evolved from a practice taking ... See full document

... Epistemic Friendship Logic (EFL) is a recently developed framework for mod- elling social knowledge and interaction. 1 One distinguishing feature of EFL is that formulas in this language are interpreted relative ... See full document

... The idea that value is determined in part by the value of one’s neighbors creates the necessity for values to be determined simultaneously, since each individual’s value may depend, through paths in the networks, ... See full document

... People typically form opinions by updating their current beliefs and reasons in response to new signals from other sources (friends, colleagues, social media, newspapers, etc.) (Tahbaz-Salehi et al., 2009; ... See full document

... is learning which metric is best to place by, given the results in Table 6, since the results from placing by 4LR are roughly equivalent to placing by the best performing metric (out of the four) for each network ... See full document

... PhD Thesis 2007 A Laghos Table 2.1: Distancelearning applicationsand examplesMaier, 1998 Computer Applications Examples ComputerManagedInstruction Grading tests,monitoring student CMI pr[r] ... See full document

... asynchronous learning groups (one structured and one non- structured) and performed SNA on their discussion ...e- Learning, Laghos and Zaphiris [40] identified the following student role types: ... See full document

... that social learning about experience attributes is a key phenomenon in the rapidly growing consumer Internet ...local social capital in this ...local social capital does not per se stimulate ... See full document

... Several key contributions have identified a link between the network position of agents and their equilibrium actions, with a particular focus on different measures of network centrality. A foundational contribution to ... See full document

... In addition, many sincere thanks are due to two other members of my dissertation committee, Matthew Elliott and Matthew Shum. They were upfront in evaluating my research papers so that I was able to improve them in new ... See full document

... “non-monotone learning”: ceteris paribus, when some predecessor(s) switch to actions revealing greater con…dence in one state of the world, agents become less con…dent in that ... See full document

... This thesis contains three independent chapters that are aimed towards contributing to our understanding of three key questions in the literature on poverty, occupational choice and social networks. All ... See full document

... education: social networks require a critical mass, they operate by the network effect, whereby the value of a technology increases as more people use ...a social tool is not realized and users move ... See full document

... and Social Networks: The Case of the Corporate Executives Market”, I develop and structurally implement a labor market search model in which workers, in addition to directly receiving job offers, also ... See full document

... when networks are and are not relevant – without network ...which social networks amplify the effect of explanatory variables on outcomes (Miguel and Kremer, ... See full document

... of learning and performance improvement for workers in a crowdsourcing ...(workers’ learning rates) are unknown, and propose task assignment algorithms with provably optimal policy regret bounds, a much ... See full document