Impact of Elaboration on Socially Desirable Responding and the Validity of Biodata Measures.

The current study investigated the impact of requiring respondents to elaborate on their answers to a biodata measure on mean scores, the validity of the biodata item composites, subgroup mean differences, and correlations with social desirability. Results of this study indicate that elaborated responses result in scores that are much lower than nonelaborated responses to the same items by an independent sample. Despite the lower mean score on elaborated items, it does not appear that elaboration affects the size of the correlation between social desirability and responses to biodata items or that it affects criterion-related validity or subgroup mean differences in a practically significant way. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Introduction to the special issue on the self and social identity.

This article describes the special issue of the Journal of Personality and Social Psychology (JPSP), which is the result of a joint undertaking by the three sections of JPSP. This makes it different from previous special sections or issues of the journal in that rather than relying on the generous services of a guest editor, the same editorial team that handles the regular journal issues has originated this special issue, as well, thus conveying a sense of "business as usual." Our major reason for the present initiative was to highlight the essential unity of personality and social psychology as a field of science. The topic choice for the present special issue was dictated by its relevance and interest to the field of personality and social psychology as a whole, across its various partitions and subdivisions. The articles in the special issue amply reflect the naturalness with which the self and social identity theme transcends the boundaries of JPSP sections. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于用户注意力与视觉注意力的社交图像描述

图像描述是机器学习和计算机视觉的重要研究领域,但现有方法对于视觉特征和模型架构之间存在的语义信息关联性探索还存在不足.本文提出了一种基于用户标签、视觉特征的注意力模型架构,能够有效地结合社交图像特征和图像中用户标签生成更加准确的描述.我们在MSCOCO数据集上进行了实验来验证算法性能,实验结果表明本文提出的基于用户标签、视觉特征的注意力模型与传统方法相比具有明显的优越性.     

移动机会网络中一种轻量级的分布式社会距离路由算法

目前大部分机会路由算法采取洪泛的方式进行辅助信息的交换造成网络资源浪费严重。针对此问题,提出了一种分布式社会距离路由算法。首先,通过分析节点间接触的稳定性与规律性来确定朋友关系。其次,通过朋友关系来构建节点间的社会距离;进一步地,每个节点维护一张用于记录当前已知的到其他节点的最短社会距离表,通过朋友节点之间相互交换并比较表中信息来不断更新最短社会距离。由于社会距离的构建与更新只需要朋友之间交换信息而并不需要全部节点来参与,极大地减少了辅助信息的交换次数。最后,数据包被发送到与其目的节点社会距离较近的中继节点,保证了数据包高效率地投递。实验结果表明：与接触和传输记录的概率路由（PRoPHET）算法相比投递率提升约3%,包传输延时降低约27%,辅助信息交换次数减少约63%;与基于中心度与相似度的路由（SimBet）算法相比包投递率提升约11%,包传输延时方面基本持平,辅助信息交换次数减少约63%。社会距离路由算法在可扩展性方面的良好表现,为移动机会网络大规模部署提供了理论支撑。     

社交网络用户隐私泄露量化评估方法

社交网络用户隐私泄露的量化评估有利于帮助用户了解个人隐私泄露状况,提高公众隐私保护和防范意识,同时也能为个性化隐私保护方法的设计提供依据.针对目前隐私量化评估方法主要用于评估隐私保护方法的保护效果,无法有效评估社交网络用户的隐私泄露风险的问题,提出了一种社交网络用户隐私泄露量化评估方法.基于用户隐私偏好矩阵,利用皮尔逊...     

移动社会网络中基于活动的消息机会转发

针对移动社会网络中节点移动形成的成簇特性和节点参与活动表现的周期特点,提出了一种基于活动的消息机会转发算法（activity-based message opportunistic forwarding,简称AMOF）.算法思想是：当消息携带节点与目的节点存在相同活动时,选择消息交付概率高的中继节点转发消息;当消息携带节点与目的节点不存在相同活动时,选择消息间接交付概率高的链路来转发消息.仿真结果表明,与经典路由算法（如Epidemic,PRoPHET,CMOT和CMTS）比较,所提出的路由算法不仅能够提高消息的传输成功率,还能有效地降低传输时延和网络负载.     

Community Discovery with Location-Interaction Disparity in Mobile Social Networks

With the fast?growth of mobile social network, people ’s inter?actions are frequently marked with location information, such as longitude and latitude of visited base station. This boom of data has led...     

浅析土默川阴山南麓村落的历史变迁--以美岱召村为例

村落的历史变革会对聚落产生不同程度的影响,本文对美岱召村历史变革进行了一定的探讨。通过对村落历史变革的研究,找到了不同时期影响村落发展的因素,对村落发展提供了参考依据。     

The Social Risk Hypothesis of Depressed Mood: Evolutionary, Psychosocial, and Neurobiological Perspectives.

The authors hypothesize that depressed states evolved to minimize risk in social interactions in which individuals perceive that the ratio of their social value to others, and their social burden on others, is at a critically low level. When this ratio reaches a point where social value and social burden are approaching equivalence, the individual is in danger of exclusion from social contexts that, over the course of evolution, have been critical to fitness. Many features of depressed states can be understood in relation to mechanisms that reduce social risk in such circumstances, including (a) hyper-sensitivity to signals of social threat from others, (b) sending signals to others that reduce social risks, and (c) inhibiting risk-seeking (e.g., confident, acquisitive) behaviors. These features are discussed in terms of psychosocial and neurobiological research on depressive phenomena. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

面向社会Agent的网络监测系统框架

在社会Agent理论的基础上,提出面向社会Agent的网络监测系统框架。结合软件复用的思想,根据网络监测数据,将该框架分为自治功能层、个体意识层和社会意识层的3层监测系统抽象模型。基于该框架设计的网页内容访问监测软件开发速度快、资源复用率高和鲁棒性强。