大数据时代下网络群体智能研究方法

首先,对大数据时代下大众广泛深度交互的互联网环境进行了分析;其次,提出并释义了网络群体智能,指出网络群体智能具有"网络数据驱动,交互形式复杂,网络效应强大,知识生产为主,不确定性认知"等特性;然后,提出网络群体智能研究方法,该研究方法以复杂性科学方法论为指导,坚持融贯论,以复杂性科学、网络化数据挖掘和不确定性人工智能为支撑理论方法,突出网络群体智能特色和多学科交叉融合研究,采用系统分析、建模分析和仿真分析相结合技术途径从结构和动力学视角对网络群体智能科学问题进行多尺度多层次研究,解决网络群体智能研究理论方法不足的问题,深化了对网络群体智能和社会计算的认识。     

基于Web Services数字校园统一身份认证系统的研究与实现

分析了采用Web Services的优势,结合本校实际,阐述了在Web Services架构中实现统一身份认证平台的设计思想与实现原理,并以统一身份认证功能模块设计为例详细加以说明.     

Mobilizers Mobilized: Information, Expression, Mobilization and Participation in the Digital Age

This study assesses differences in use of Information Communication Technologies (ICT) and relates them to patterns of expressive political participation, mobilization efforts, and traditional civic participation. Relying on data collected in August 2008 from a random sample of respondents designed to represent Colombia's adult urban population, this paper provides evidence that informational uses of ICTs (Internet and mobile phones) are significantly related to expressive participation in the online domain, which in turn results in a host of traditional or offline civic and political participatory behaviors indirectly through mobilization efforts. That these relationships occur within the context of a society in crisis suggests that new communication technologies offer an additional pathway to democratic political engagement in such societies.     

Respect and Disrespect in Deliberation Across the Networked Media Environment: Examining Multiple Paths of Political Talk

There is extensive research dedicated to civility in online deliberation, but empirical studies on mutual respect are still scarce. By adopting a systemic approach to deliberation, this study identifies different targets of disrespect (conversation partners, arguments, actors and groups involved in a certain conflict, profanity without a clear target), and investigates their relations with deliberation in different online contexts. This paper argues that the nature of digital affordances related to anonymity and homophily influences the expression of foul language, but not as significantly as was originally assumed. Analysis reveals that online social norms help to explain the configuration of interactions and practices of reasoning together in YouTube, blogs, and Facebook; and the extent to which profanity affects justification and reciprocity.     

Incivility and Political Identity on the Internet: Intergroup Factors as Predictors of Incivility in Discussions of News Online

Although incivility is an increasing concern among scholars and the public, explanations for this phenomenon sometimes overlook the role of computer‐mediated communication. Drawing from the social identity model of deindividuation effects (SIDE), we consider incivility as a form of identity performance occurring in the visually anonymous contexts that are typical online. Specifically, we examine partisan political identities and intergroup factors as predictors of incivility in a newspaper discussion forum. Contrary to expectations, conservatives were less likely to be uncivil as the proportion of ingroup members (i.e., other conservatives) in the discussion increased and less sensitive to incivility directed at outgroup members (i.e., liberals) than were nonconservatives. Audience members had more extreme evaluations of uncivil comments made by partisans than nonpartisans.