Traces of mobility: Examining location disclosure on social networks with mobile location tagging

The prevailing adoption of mobile devices has facilitated individuals’ engagement with location tagging; thus, location-based information sharing, which allows geolocation specificity and interaction on the Internet platforms, has become a popular activity in the space of social media. This spatiotemporal information provides a great potential opportunity for marketers as photos or videos shared among friends on social networking sites can be viewed as a type of word-of-mouth that may increase brand awareness and attract more users. Thus, understanding the underlying factors driving location tagging intentions provides significant value for practitioners. However, despite its importance, our understanding of this topic is limited. This research draws from social exchange theory and the theory of impression management to exemplify the underlying factors driving individuals to engage in photo or video sharing with location tagging on social media. Using an online survey, we recruited 402 users. We find that location tagging intention is driven by a facilitating route involving social benefits and functional benefits and an impeding route involving perceived risk related to privacy concerns. Our findings provide important academic and managerial implications.     

Language,modality, and mobile media use experiences: Social responses to smartphone cues in a task-oriented context

With people’s growing use of virtual agents and voice assistants on smartphones, researchers have pointed out that mobile phones are not only acting as intermediaries that connect users from different places, but also communication terminals that present different combinations of social cues. This study applies the Computers are Social Actors paradigm in human-phone interaction and postulates that compared to non-anthropomorphic language and text cues, anthropomorphic language and vocal cues will have more effects on users’ social responses to smartphones. This study also explores the role of individual differences in users’ social responses to smartphones. Based on a lab experiment using a between-subjects factorial design, the study suggests that although anthropomorphic language and voice-based information did not have main effects on users’ social responses, people’s mobile media usage and intensive phone use interacted with these cues in their social responses to the smartphones. In addition, this study implies that it is the combination of social cues, individual differences, and communication contexts that contributes to people’s social reactions to the smartphones. The findings of the study can inform user interface design and precipitate further discussion about the ethical issues in human-phone interaction.     

LTE多频多载波复杂组网下的业务均衡优化方法浅析

针对复杂组网下载波间的负载不均衡问题,通过对多频多载波混合组网带来的网络结构复杂性、扇区内载波配置数量和出现不均衡概率的关系、天馈工参的差异和出现不均衡概率的关系等3个方面的定性及定量分析,给出了四个方向的解决方案:第一,厘清并实施基于复杂分层组网架构下的互操作参数策略;第二,拉齐同频段载波间的发射功率配置水平;第三,通过开启并制定MLB参数策略来实现业务负载的定向均衡;第四,通过天馈工参调整解决载波间固有的覆盖差异问题。最后还开发出负载均衡自动优化平台,显著提升了均衡优化的工作效率。通过优化方法的实施,本地网负载均衡情况得到较大改善。     

Moral obligation in online social interaction: Clicking the “like” button

Social media greatly facilitate online social interaction among friends, and user behavior in social interaction may be influenced by interpersonal relationships. While individuals sometimes do enjoy the content shared by friends, they may also feel that they have a moral obligation to like what their friends share. Drawing on the stimulus-organism-response model, this paper examines whether the characteristics of interpersonal relationships are associated with moral obligation as well as whether moral obligation is associated with “like” intention. By using data from 348 users of WeChat Moments, we provide empirical evidence that the stimuli of interpersonal relationships (perceived authority, perceived closeness, and peer referent) are positively associated with the sense of moral obligation, which in turn, is positively associated with user intention to click the Like button on their friends’ postings on social media. Theoretical and practical implications of the findings are discussed.     

Examining the effects of social influence in pre-adoption phase and initial post-adoption phase in the healthcare context

Despite the widespread adoption of healthcare information technology (HIT) in hospitals, fostering physicians’ acceptance of this system is a challenging task. This study focuses on and compares two critical phases for user acceptance of HIT, namely, pre-adoption phase and initial post-adoption phase. Based on the psychological attachment theory, we propose that social influence factors exert differentiated effects on physician acceptance of HIT in these two phases. Survey results show that reward, sanction, and informational influence affect physicians’ HIT acceptance in the pre-adoption phase, whereas reward and image are significantly associated with HIT acceptance in the initial post-adoption phase.     

The bittersweet escape to information technology: An investigation of the stress paradox of social network sites

It seems counterintuitive for people to continue using Social network sites (SNSs) despite the stress they cause. This study addresses this issue by suggesting that a stress paradox exists on SNSs, and by developing process and variance theoretical models to explain this new type of IT-duality. It argues that SNS use occurs as a coping strategy that people adopt to deal with life-stress. It also argues that SNSs are stressful, due to more than excessive demands, since SNS use also involves privacy threats. An online survey of 633 Facebook, Instagram and Snapchat users provide support for the study’s main premise.     

基于项目合作的社会关系网络中核心社团发现

近几年,基于社会关系网络的研究得到了社会各界的广泛关注。在社会关系网络中往往存在不同类型角色,其影响力与行为表现也不同。根据国家自然科学基金(以下简称“基金”)历史的20年申请信息中的申请人与参与人构成的项目合作关系,将其映射到社会关系网络中,挖掘其中有影响力的申请人,由此导出关系网络中的核心社团发现。为了更好地展示、处理这种大型社会网络,提出一种基于贪心策略的核心社团发现算法。与现有算法进行比较,结果显示该算法略优于目前的几种算法。     

基于改进边权重的成对马尔可夫随机场模型的社交异常账号检测方法

社交媒体系统为人们提供了便利的共享、交流和协作平台。人们在享受社交媒体的开放性和便利性时,可能会发生许多恶意行为,例如欺凌、恐怖袭击计划和欺诈信息传播。因此,尽可能准确、及早地发现这些异常活动,以防止灾难和袭击,是非常重要的。近年来,随着在线社交网络(OSN)如Twitter,Facebook,Google+,LinkedIN等的成功,丰厚的利益资源使得它们成为了攻击者的目标。社交网络的开放性,使其特别容易受到异常账号攻击的威胁。现有基于图形的最先进分类模型大多使用首先为图的边分配权重,在加权图中迭代地传播节点的信誉分数,并使用最终的后验分数来对节点进行分类的方法。边权重的分配是其中一项重要的任务,此参数将直接影响检测结果的准确度。为此,文中针对社交媒体中异常账号的检测任务,分析了基于社交图全局结构的方法,通过在成对马尔可夫随机场模型中改进边权重的计算方法,使其能够在迭代过程中自适应优化,提出了准确度更高的GANG+LW,GANG+LOGW和GANG+PLOGW算法。这3种算法使用了不同的改进边权重的方法。实验证明,新提出的方法相对于基本的成对马尔可夫随机场模型,可取得更准确的异常账号检测结果,3种算法中GANG+PLOGW得到的结果最好。结果证明,此改进模型在检测社交网络中的异常账号时,能够更有效地解决问题。     

基于用户偏好特征挖掘的个性化推荐算法

为了提升社交网络个性化推荐能力,结合用户行为分布进行个性化推荐设计,文中提出基于用户行为特征挖掘的个性化推荐算法,构建社交网络的用户行为信息特征挖掘模型,采用显著数据分块检测方法对社交网络用户特征的行为信息进行融合处理,提取反映用户偏好的语义信息特征量。从情感、关键词和结构等方面根据用户行为特征组,结合模糊信息感知方法进行社交网络个性化推荐过程中的信息融合处理,在关联规则约束控制下,构建社交网络用户偏好特征的混合推荐模型,实现用户偏好特征挖掘,根据语义分布和用户的行为偏好实现社交网络的个性化信息推荐。仿真结果表明,采用所提方法进行社交网络个性化推荐的特征分辨能力较好,对用户行为特征的准确识别能力较强,提高了社交网络推荐输出的准确性。     

MSN下基于亲缘关系的分族分层机会路由算法

移动社会网络(Mobile Social Network,MSN)具有社会网络特征,移动智能终端设备由于自身资源限制,往往表现出节点自私性。现有研究主要集中于解决节点个体自私性,而忽视了对节点社会自私性的甄别与利用。因此,文中提出了一种基于亲缘关系的分族分层路由算法。首先,在依据亲缘关系指数分族分层的社区和集群中,自荐的节点通过比较综合举荐值产生族节点和中继节点。然后,以亲缘关系预测的转移概率为转发依据,借助族节点和中继节点优化盲目转发,在有效地控制副本数的同时预测关联可靠路径链路,实现基于节点亲缘关系的相遇投递策略。仿真实验结果表明,该算法可以在保护与利用社会自私性的基础上,有效地提高消息投递率,降低网络时延,提高网络的通信流量等。