User Profile & Attitude Analysis Based on Unstructured Social Media and Online Activity

As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain interests or purchases. This generates a wealth of behavioral data, which, while invaluable to businesses, researchers, policymakers, and the cybersecurity sector, presents significant challenges due to its unstructured nature. Existing tools for analyzing this data often lack the capability to effectively retrieve and process it comprehensively. This paper addresses the need for an advanced analytical tool that ethically and legally collects and analyzes social media data and online activity logs, constructing detailed and structured user profiles. It reviews current solutions, highlights their limitations, and introduces a new approach, the Advanced Social Analyzer (ASAN), that bridges these gaps. The proposed solutions technical aspects, implementation, and evaluation are discussed, with results compared to existing methodologies. The paper concludes by suggesting future research directions to further enhance the utility and effectiveness of social media data analysis.

The Research on E-mail Users' Behavior of Participating in Subjects Based on Social Network Analysis

The e-mail network is a type of social network. This study analyzes user behavior in e-mail subject participation in organizations by using social network analysis. First, the Enron dataset and the position-related information of an employee are introduced, and methods for deletion of false data are presented. Next, the three-layer model(User, Subject, Keyword) is proposed for analysis of user behavior. Then, the proposed keyword selection algorithm based on a greedy approach, and the influence and propagation of an e-mail subject are defined. Finally, the e-mail user behavior is analyzed for the Enron organization. This study has considerable significance in subject recommendation and character recognition.

User Behavior Path Analysis Based on Sales Data

With the rapid development of science and technology and the increasing popularity of the Internet,the number of network users is gradually expanding,and the behavior of network users is becoming more and more complex.Users’actual demand for resources on the network application platform is closely related to their historical behavior records.Therefore,it is very important to analyze the user behavior path conversion rate.Therefore,this paper analyses and studies user behavior path based on sales data.Through analyzing the user quality of the website as well as the user’s repurchase rate,repurchase rate and retention rate in the website,we can get some user habits and use the data to guide the website optimization.

Game Analysis on Heathcliff's Behaviors in the Wuthering Heights

Wuthering Heights was an extraordinary novel in the nineteenth century,for it is very different from other contemporary novels which are reconciled with the public opinion by presenting Victorian values and tastes.It depicts a story of strong love and extreme hatred.This paper used the game theory to analyse the behaviors of Heathcliff in the Wuthering Heights.Some basic strategies and game models were used to illustrate the choices of the characters.This paper can be divided into four parts.The introduction is to introduce the novel,the description of the research approach and the definition of basic theories.It emphasizes on the introduction of basic strategies and some game models which would be used for the later analysis.The second part is to discuss the formation of Heathcliff's dual personality and analyses its causes.Heathcliff was very cruel in his revenge,but he also has a tender side in love,that is the manifestation of his dual personality.The formation of his dual personality dates back to his childhood suffering,the abnormal family environment,the pressure from long labor and finally his only love—Catherine's betrayal.The third part focuses on discussing how his dual personality affects Heathcliff's choices in the game plays with others.His tender personality affected Heathcliff's choice when facing Catherine's betrayal.He could not choose a grim strategy to totally break up with her,but choose a Tit for Tat and to combine with her after a revenge.His cruel personality made him harm other people indifferently which hide the foreshadowing for his death.The conclusion summarizes the arguments of this paper.This paper analyses from the formation of Heathcliff's dual personality,and then analyzes how his dual personality affected his choices in the game plays with others.

A Critical Discourse Analysis on the Teacher Behavioral Norms of English Training School

With a Critical Discourse Analysis approach, this essay reveals four types of discourses: discourse of examination, instruction, technology and regulation. Based on the analysis of power relation among those discourses, a vivid picture of teachers' identity at training-school has been clearly sketched. That is, teacher at training-school is a puppet acting as not only the transmitter of specific knowledge, but also the supervisor of rules and spokesman of institution.

基于SEM模型的新能源网约车用户充电行为关联因素分析

针对新能源网约车用户的充电行为与个人属性、车辆属性、用户满意度等多重因素之间的复杂互动问题,运用结构方程模型(Structural Equation Modeling,SEM)详细探究各定量因素之间的影响作用,并采用关联规则挖掘技术结合定类数据和定量数据分析405份样本,得到用户与充电行为相关决策的具体表现形式.研究结果表明:每增加40 km的行驶里程,充电次数将平均增加0.407次;用户个人和车辆的属性反映出不同群体的充电决策差异,路径系数分别为0.336、0.159;排队时间阈值每增加1个单位,到站时间阈值平均增加0.231个单位,说明不同场景下用户可接受的时间阈值具有一致性,通过提供针对性服务可以满足不同用户的需求;新能源网约车的预估里程准确度与用户对充电设施的满意度正相关,正相关结果的统计显著性水平P值为0.273,反映了准确预估里程能力在促进新能源网约车普及中的重要性;用户对价格和服务的多样性说明市场的灵活定价机制具有潜在价值;时间和金钱在决策中的复杂权衡,反映了行为背后的复杂性和多元性.这些结果揭示了不同因素之间的复杂关联,为未来相关领域的研究提供了理论基础和实证依据.

Exploring users' within-site navigation behavior:A case study based on clickstream data

Purpose:The goal of our research is to suggest specific Web metrics that are useful for evaluating and improving user navigation experience on informational websites.Design/methodology/approach:We revised metrics in a Web forensic framework proposed in the literature and defined the metrics of footprint,track and movement.Data were obtained from user clickstreams provided by a real estate site’s administrators.There were two phases of data analysis with the first phase on navigation behavior based on user footprints and tracks,and the second phase on navigational transition patterns based on user movements.Findings:Preliminary results suggest that the apartment pages were heavily-trafficked while the agent pages and related information pages were underused to a great extent.Navigation within the same category of pages was prevalent,especially when users navigated among the regional apartment listings.However,navigation of these pages was found to be inefficient.Research limitations:The suggestions for navigation design optimization provided in the paper are specific to this website,and their applicability to other online environments needs to be verified.Preference predications or personal recommendations are not made during the current stage of research.Practical implications:Our clickstream data analysis results offer a base for future research.Meanwhile,website administrators and managers can make better use of the readily available clickstream data to evaluate the effectiveness and efficiency of their site navigation design.Originality/value:Our empirical study is valuable to those seeking analysis metrics for evaluating and improving user navigation experience on informational websites based on clickstream data.Our attempts to analyze the log file in terms of footprint,track and movement will enrich the utilization of such trace data to engender a deeper understanding of users’within-site navigation behavior.

基于人脸识别的课堂教学行为S-T分析系统设计

提出并详细介绍了一种基于人脸识别技术的课堂教学行为S-T分析系统的设计。该系统以S-T分析法为理论基础,采用多种人脸识别算法,包括年龄检测、表情分析、姿态分析等,旨在自动识别并分析教师和学生在课堂上的行为。基于大量课堂视频数据的准备、软件系统原型的设计、深入研究课堂教学行为理论等,解决人脸识别技术的算法选型、视频关键帧的分析与因果关系模型的建立、系统运行的稳定性和界面设计等关键技术问题。通过系统性的需求分析、设计与架构、实现、评估与可视化等阶段的论述,详细展现了该系统的开发过程。

基于UBmap/AHP/FAST的医院建筑火灾应急避难装置设计

为提高医院火灾应急避难能力,针对医院住院楼建筑,设计一款在火灾下能及时进行应急避难、安全逃脱的装置产品。集合用户行为地图(UBmap)、层次分析法(AHP)、功能分析系统技术法(FAST),融入整体设计构架中,探究应急避难装置产品的用户需求以及相关产品设计要素。将医院住院楼建筑环境特点及患者人群对火灾的逃生行为过程融入UBmap中,构建行为旅程图,推测并提取各个阶段需求指标;再通过AHP/FAST聚合方法,对需求指标进行重要度排序,并转化为主次功能进行分析求解,以此推断产品设计定位与功能逻辑的准确性,完成设计方案生产。综合UBmap/AHP/FAST为依据的理论模型,运用到医院住院楼建筑火灾下的避难装置设计开发流程中,并运用ANSYS Workbench软件有限元分析方案,进一步验证校核该设计的整体装置强度与可行性。结果表明:将不同的方法融合分析,系统性地对产品展开分析设计与实现且进行仿真检验,减少设计过程中的薄弱环节与不确定性问题,能够使设计更具系统性与科学性,达到降低避难装置的生产成本、实现安全效率化、防灾减灾的目标。

基于Spark的电商网站用户行为分析预测系统研究

以Spark软件为工具,对电商网站用户行为分析预测系统进行探讨,在此基础上,对一家电商平台进行了一系列的预处理,包括在一定的时间段内,对用户的行为进行处理,提出时间序列规则处理原始数据动态滑动窗口。用户行为分析实验表明,XGBoost的训练模式表现最好,而决策树的学习效果最差。XGBoost模型无需对全部的训练进行集合,是通过XGBoost在每一个滑行窗口内使用XGBoost来输出最后的预测。XGBoost在预测结果正确率、稳定性方面均较好。Spark平台主要由数据读入、RDD的创建、用户行为预测计算三部分构。相比Hadoop平台,基于Spark平台系统效率提高了近8倍,系统运行速度降低幅度较大,减少了电商网站运营成本,Spark平台系统可靠性较高。

Relationship between land use and user’s behavior along the street:A case study of Da Nang City,Viet Nam

Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activities on streets.This research investigates land use patterns and their characteristics in association to user’s behaviors.By using mixed qualitative and quantitative research methods,e.g.,place-centered behavioral map,observation,visual encounter surveys,machine learning,the relationship between user’s behavior and land use characteristics along the street is unveiled.All user behaviors along both types of streets were classified into six main categories,with 26 subcategories.The observation results show that the residential use of land along the street was transformed into the commercial use for various types of shophouses based on the resident’s ideas.There is a great correlation between land use and user’s activities.These findings give support to authorities to manage urban streets and develop a sustainable policy for improving street spaces.Further,this research contributes useful information to urban designers and planners in creating a successful street space that is appropriate for the Vietnam Community.

Brief Probe into College English Teachers' Phonetic Teaching Beliefs and Behavior

Pronunciation is the basic of learning a language and an important breakthrough point to promote the whole level of language.As a result,pronunciation attracted more and more attention in English teaching.However,it is still a weakness in English teaching because of the multifarious and complicated factors.A large numbers of research papers indicate that teacher is the leader and organizer of teaching activities,he or she dominants the whole process of pronunciation teaching.For example,they make decisions,design and reform the content of teaching in the classroom.What's more,teacher's beliefs can influence their teaching behaviors more than their professional knowledge,namely,teacher's phonetic teaching beliefs influence their phonetic teaching behaviors deeply.This study aims at finding out about teachers'beliefs of phonetic teaching and casting some light on the relationship between teachers' phonetic teaching beliefs and behaviors,and the causes for their inconsistency if any.

FBS模型与移情理论的共享定位设备设计

目的为了提高以人为本的设计过程中,用户因素对决策的影响度,提出优化FBS模型,以达到用户需求和设计模型的共鸣。方法区别于单纯以数据为导向的分析方法,通过理性的FBS模型确定设计研究的主要框架,并结合移情理念感知用户。由用户自身产生的行为和心理特征来引导实验,挖掘其潜在需求导入FBS模型框架进行设计,使设计过程达到理性因素和感性因素互补的有机结合。结果以共享儿童定位设备为例,结合共享设施涉及多类用户群体的特性进行设计实验,以易操作的方法挖掘新的设计点。流程包含完整的用户分析、产品设计和可用性评价过程,可用于提升设计效率。加深用户、产品、环境之间的联系。结论实验结果验证了改进后的方法可以更明确有效地提高用户体验,为设计需求分析方法研究提供思路。

Introduction to information seeking behavior—A review of literature and field practice directions

The article tries to discover the major authors in the field of information seeking behavior via social network analysis. It is to be accomplished through a literature review and also by focusing on a graphic map showing the seven most productive coauthors in this field. Based on these seven authors' work, five probable research directions about information seeking behavior are discerned and presented.

Influence Analysis of Emotional Behaviors and User Relationships Based on Twitter Data

One of the main purposes for which people use Twitter is to share emotions with others. Users can easily post a message as a short text when they experience emotions such as pleasure or sadness. Such tweet serves to acquire empathy from followers, and can possibly influence others＇ emotions. In this study, we analyze the influence of emotional behaviors to user relationships based on Twitter data using two dictionaries of emotional words. Emotion scores are calculated via keyword matching. Moreover, we design three experiments with different settings： calculate the average emotion score of a user with random sampling, calculate the average emotion score using all emotional tweets, and calculate the average emotion score using emotional tweets, excluding users of few emotional tweets. We evaluate the influence of emotional behaviors to user relationships through the Brunner-Munzel test. The result shows that a positive user is more active than a negative user in constructing user relationships in a specific condition.

拟人化线索和直播氛围双视角下数字人直播用户参与行为影响机制研究

数字人技术可为直播行业注入新活力,如何提升数字人直播质量,增强用户参与度是亟待解决的管理问题。本研究基于S-O-R理论构建数字人直播用户参与行为影响机制模型,通过结构方程模型(SEM)和模糊集定性比较分析(fsQCA)识别用户参与行为关键影响因素及组态路径。研究发现:(1)交互型线索和解说氛围正向影响信任;印象型线索、移情性线索、娱乐氛围和解说氛围正向影响社会临场感;社会临场感正向影响信任,信任和社会临场感正向影响用户参与行为;所有影响因素均不能构成用户参与行为的必要条件,需多种因素协同发挥作用。(2)高娱乐氛围、高信任和高社会临场感均存在于围观式、表达式及购买式参与行为的所有组态中,对用户参与行为具有促进作用。在此基础上,围观式参与行为产生路径为情感内容驱动路径及形象内容驱动路径;表达式参与行为产生路径为情感驱动路径;购买式参与行为产生路径为情感形象驱动路径和情感社交驱动路径。

近十年国内信息用户与行为研究主题变迁及趋势研究——基于2011—2020年国家社科立项项目

[目的/意义]信息用户与行为一直是图情领域的研究热点,通过国家社科项目立项数据,分析近十年来我国信息用户与行为研究主题的特点与发展趋势。[方法/过程]收集2011–2020年十年间信息用户与行为研究相关的国社科立项指南、立项项目及相关发文成果信息。分析项目及其成果发文的外部计量特征,并借助可视化分析软件CiteSpace进行内容分析,揭示国内信息用户与行为研究的主题特点和变迁。[结果/结论]图书馆读者相关的服务研究及网络相关信息行为研究是十年间的长线研究主题,十二五时期与十三五时期研究内容、依托理论、研究方法具有一定差异。未来研究将围绕服务国家重大战略、服务人工智能等新科技发展需求、推进“以用户为中心”研究理念、深化相关影响因素研究等问题开展。

AIGC用户中辍行为影响因素模型构建与实证研究

[目的/意义]为了厘清AIGC情境下用户心理韧性的驱动因素以及AIGC用户中辍行为的特征规律,有效缓解AIGC用户在初始采纳阶段后流失和中辍等消极行为造成的潜在风险,刺激AIGC用户持续使用,促进AIGC产业由技术驱动向用户驱动的高质量转变。[方法/过程]研究以韧性理论和S-O-R理论为基础,构建了AIGC用户中辍行为影响因素研究模型,通过发放问卷的形式,搜集了328份原始数据对所构建的模型进行实证和检验。[结果/结论]研究结果显示,心理韧性是有效缓解AIGC用户中辍行为的重要因素,技术韧性和信息质量是提升用户心理韧性的重要驱动因素,以此为基础,提出了提升用户心理韧性、防止用户中辍,促进用户持续使用的对策与建议。

基于迁移学习和D-S理论的网络异常检测

对于分布不同或分布相似的未知类型的网络攻击,目前的异常检测技术往往不能达到预期的效果。针对上述问题,研究了一种基于迁移技术和D-S证据理论的网络异常检测方法。首先用迁移学习方法对已知网络攻击进行建模,此模型在构建时考虑了不同分布的异常攻击间的差异;然后用其训练得到的分类器对未知的网络行为进行分析,结合D-S证据理论,可以检测出分布不一致的未知攻击类型。实验结果表明,该方法泛化了传统的网络异常检测技术,对未知的网络异常有着较高的检测率。

SinoMed用户检索行为分析

中国生物医学文献服务系统(SinoMed)是在《中国生物医学文献数据库》(CBM)的基础上开发研制的新一代专业文献信息服务系统。以SinoMed现有用户为主要调查对象,从用户检索需求、检索行为和检索效果几方面展开调查,旨在及时掌握用户的需求变化,为SinoMed系统的功能完善及未来发展提供参考依据。