网络技术在英语写作教学中的应用

英语写作教学在大学英语教学中占有重要位置。新时代提出了英语写作的新要求,网络技术也为英语写作提供了方便条件。网络虚拟环境辅助英语写作是一种新的模式。分析网络技术辅助英语写作教学的优势,尝试研讨具体的实施途径,能够促进学生英语写作水平的稳步提高。     

企业局域网常见故障及解决办法

在当今社会,越来越多的企业将网络技术运用到实际生产工作当中.网络技术在给企业带来便利的同时,也耗费了企业大量的人力、物力、财力进行维护.文章从五方面探讨了企业局域网常见故障及解决办法.     

网络环境版权相关法律问题

版权保护制度受技术发展的影响极大。数字传播技术和因特网的广泛使用,打破了版权法的利益平衡,对版权法的主要概念以及版权人的相关经济权利造成了一定的影响。在网络环境中,作品具有更大的开放性,因而具有极强的、难以克服的外部经济效果,版权人排除他人对作品进行使用的成本极高。在网络环境中,网络作品的私有将变得非常困难,网络环境中版权制度的走向是,版权将变为一种公共权利,作品由政府提供将是惟一的选择。     

What is the Point of Change? Change Point Detection in Relational Event Models

This paper presents an extension to the relational event model with change points (REM-CP) to study abrupt changes to social interaction behavior in temporal networks. A change point detection algorithm is proposed for exploring when and which network effects abruptly change, and a confirmatory approach to test the presence of a change point at a given moment. The effectiveness of the methodology was assessed with numerical simulations and NASA’s Apollo 13 mission data. The latter revealed dynamic communication behavior and identified time zones where most change points occurred, including around the time of the famous quote “Houston, we’ve had a problem.”     

Similarities between friends on service,activism, and awareness of inequities in an adolescent social network

This brief report characterizes the tendency of adolescent friends to be similar on civic behaviors and critical consciousness. Using two waves of network data from a high school that serves primarily low-income Latiné youth (2019, N = 519; 2020, N = 521), the present study examined homophily on service, activism, and awareness of inequities. The results of Exponential Random Graph Models indicated that adolescents tended to be friends with peers who had similar service behavior and awareness of inequities, but not activism. The findings suggest that schools could foster civic engagement by providing infrastructure that encourages civic interactions between peers. The current study highlights the potential that social network analysis holds for generating novel insights into the relational underpinnings of youth civic engagement.     

网络时代图书馆资源共享研究

网络环境下科学技术的飞速发展使如何开发和利用文献,实现资源共享成为图书馆研究的新课题。从四个方面阐述了实行资源共享的必要性、重要性及其途径,指明了实行资源共享是图书馆全方位服务于网络时代的重要途径,提出了实行资源共享的合理化建议。     

基于神经网络的企业经济效益评价方法

企业经济效益评价在现代企业管理中具有重要地位,如何客观准确地对企业经济效益,选择正确合理的评价方法就尤为重要。文章应用神经网络模型,在“学习”以往这些样本的基础上作惯性的思维进行评价,把目前较为流行的数据挖掘中的神经网络模型应用于企业经济效益评价当中,以期取得一些有益的结果。     

企业网络营销决策分析

如何正确认识和实施网络营销是企业迎接高科技市场竞争的重要课题。本文从网络市场的特点出发 ,对网络营销产品策略、网络营销的策略组合及网络营销决策要求进行了分析。     

Measuring social dynamics in a massive multiplayer online game

Quantification of human group-behavior has so far defied an empirical, falsifiable approach. This is due to tremendous difficulties in data acquisition of social systems. Massive multiplayer online games (MMOG) provide a fascinating new way of observing hundreds of thousands of simultaneously socially interacting individuals engaged in virtual economic activities. We have compiled a data set consisting of practically all actions of all players over a period of 3 years from a MMOG played by 300,000 people. This large-scale data set of a socio-economic unit contains all social and economic data from a single and coherent source. Players have to generate a virtual income through economic activities to ‘survive’ and are typically engaged in a multitude of social activities offered within the game. Our analysis of high-frequency log files focuses on three types of social networks, and tests a series of social-dynamics hypotheses. In particular we study the structure and dynamics of friend-, enemy- and communication networks. We find striking differences in topological structure between positive (friend) and negative (enemy) tie networks. All networks confirm the recently observed phenomenon of network densification. We propose two approximate social laws in communication networks, the first expressing betweenness centrality as the inverse square of the overlap, the second relating communication strength to the cube of the overlap. These empirical laws provide strong quantitative evidence for the Weak ties hypothesis of Granovetter. Further, the analysis of triad significance profiles validates well-established assertions from social balance theory. We find overrepresentation (underrepresentation) of complete (incomplete) triads in networks of positive ties, and vice versa for networks of negative ties. Empirical transition probabilities between triad classes provide evidence for triadic closure with extraordinarily high precision. For the first time we provide empirical results for large-scale networks of negative social ties. Whenever possible we compare our findings with data from non-virtual human groups and provide further evidence that online game communities serve as a valid model for a wide class of human societies. With this setup we demonstrate the feasibility for establishing a ‘socio-economic laboratory’ which allows to operate at levels of precision approaching those of the natural sciences.All data used in this study is fully anonymized; the authors have the written consent to publish from the legal department of the Medical University of Vienna.     

应用混合神经网络和遗传算法的期权价格预测模型

隐含波动率是指在市场中观察的期权价格所蕴涵的波动率.提出了一种加权的隐含波动率作为混合神经网络的输入变量,建立了混合神经网络和遗传算法相结合的期权价格预测模型,通过遗传算法来优化神经网络的结构和获得隐含波动率的权重.在对香港金融衍生品市场的实证中表明,本文模型在预测结果上要优于传统的Black-Scholes模型.