A comparative study of information diffusion in weblogs and microblogs based on social network analysis

Purpose: This paper intends to explore a quantitative method for investigating the characteristics of information diffusion through social media like weblogs and microblogs.By using the social network analysis methods,we attempt to analyze the different characteristics of information diffusion in weblogs and microblogs as well as the possible reasons of these differences.Design/methodology/approach: Using the social network analysis methods,this paper carries out an empirical study by taking the Chinese weblogs and microblogs in the field of Library and Information Science(LIS) as the research sample and employing measures such as network density,core/peripheral structure and centrality.Findings: Firstly,both bloggers and microbloggers maintain weak ties,and both of their social networks display a small-world effect. Secondly,compared with weblog users,microblog users are more interconnected,more equal and more capable of developing relationships with people outside their own social networks. Thirdly,the microblogging social network is more conducive to information diffusion than the blogging network,because of their differences in functions and the information flow mechanism. Finally,the communication mode emerged with microblogging,with the characteristics of micro-content,multi-channel information dissemination,dense and decentralized social network and content aggregation,will be one of the trends in the development of the information exchange platform in the future.Research limitations: The sample size needs to be increased so that samples are more representative. Errors may exist during the data collection. Moreover,the individual-level characteristics of the samples as well as the types of information exchanged need to be further studied.Practical implications: This preliminary study explores the characteristics of information diffusion in the network environment and verifies the feasibility of conducting a quantitative analysis of information diffusion through social media. In addition,it provides insight into the characteristics of information diffusion in weblogs and microblogs and the possible reasons of these differences.Originality/value: We have analyzed the characteristics of information diffusion in weblogs and microblogs by using the social network analysis methods. This research will be useful for a quantitative analysis of the underlying mechanisms of information flow through social media in the network environment.

Research on E-mail Communication Network Evolution Model Based on User Information Propagation

E-mail communication network evolution model based on user information propagation is studied. First, mathematical representation of weighted e-mail communication network is proposed, and network center parameters of Enron dataset and the distribution of node degree and strength are analyzed. Then, some rules of e-mail communication network evolution are found. Second, the model of e-mail information propagation is described, and e-mail communication network evolution model based on user information propagation is proposed. Lastly, the simulation proves the correctness of the distribution characteristic of degree and strength of the model proposed and then verifies that the model proposed is closer to the real situation of e-mail communication network through parameter comparison. This research provides the basis for other researches on social network evolution and data communication.

Research on Accurate Information Pushing Based on Human Network

Based on the social network analysis methods and human network, this paper randomly selected 44 students (31 males and 13 females) as the research objects, and it used the UCINET software to analyze the friendship between them of which 43 used WeChat and 44 used QQ, and it also used the tool Netdraw to visualize the network sociogram. By mining the four aspects of density, accessibility, centrality, block model, the results demonstrated that QQ social network and WeChat social network existed the phenomenon of small world, leaders and subgroups, and the key nodes of QQ human network were more than WeChat network. Through using the key nodes, it can push the precise and efficient information and improve the accuracy of information transmission and impact among network members.

Visualization of Personal Interest Graph from Social Network

The advent of the time of big data along with social networks makes the visualization and analysis of networks information become increasingly important in many fields. Based on the information from social networks, the idea of information visualization and development of tools are presented. Popular social network micro-blog （＇Weibo＇） is chosen to realize the process of users＇ interest and communications data analysis. User interest visualization methods are discussed and chosen and programs are developed to collect users＇ interest and describe it by graph. The visualization results may be used to provide the commercial recommendation or social investigation application for decision makers.

A case study on knowledge communication based on friends-list links in the science blogging community at Sciencenet.cn

Sciencenet.cn is the leading online portal serving the Chinese scientific community. This paper intends to analyze the interdisciplinary and intradisciplinary knowledge communication patterns based on friends-list links in the blog community at Sciencenet.cn by using hyperlink analysis and social network analysis. The major findings are: 1) More bloggers have an academic background in management science and life science; 2) there are some core actors in co-inlink network and co-outlink network, who take the lead in engaging with knowledge exchange activities and produce a great influence on interdisciplinary communication; 3) interactive relationships commonly exist between a blogger and those on his/her friends list, and the most linked-to blogs usually play a key role in generating interactive communication; 4) management science has the highest co-inlink count with life science or information science and it has the highest co-outlink count with life science or mathematical and physical science; 5) management science and life science have the greatest impact on information science and the interdisciplinary knowledge communication will also produce relatively significant influence on the development of information science discipline. It is our hope that this research can serve as a reference source for the future studies of academic virtual communities, and the development of mechanisms for facilitating increased engagement in knowledge exchange activities in academic virtual communities.

全过程咨询模式下的信息共享影响因素研究

本文用SNA法(社会网络分析法)对全过程工程咨询模式下信息共享的影响因素进行研究。先在现有研究的基础上整理归纳出26个影响双方信息共享的因素,再通过问卷调查收集数据,借助SPSS软件将其归纳为环境、经济、风险、协同四类,然后通过Ucinet软件从宏观层面的网络密度、k-核指标分析和微观层面的度数中心度、中间中心度、接近中心度分析,最终确定了关键影响因素,对全过程工程咨询模式的推广与建筑业信息化发展有重要参考价值。

跨界融合背景下物流搬运专利信息分析

新一代信息技术加速跨界融合,物流搬运衔接物流诸多环节,直接影响整体效率。以国家知识产权局的物流搬运专利为研究对象,采用专利分析法和社会网络分析法对1999—2023年物流搬运专利进行多方面分析,剖析物流搬运的关键技术及欠缺方向,形成专利情报。物流搬运专利存在地区发展不均衡、发明人难以进行二次创新、科研单位未发挥优势提高专利数量、企业难以产出技术含量较高专利等问题。为此,围绕缩小地区间的专利水平差异、维持发明人的创新热情、提升专利申请“质”和“量”等3方面,提出促进物流搬运技术蓬勃发展之策。

基于社会网络分析法与TOPSIS法的中国老年人健康信息素养困境分析及思考

目的:全面审视并识别中国老年人在健康信息素养领域所遭遇的主要挑战,期望为提升其健康信息素养提供切实可行的策略建议。方法:采用文献分析法并结合社会网络分析法对文献进行分析,运用TOPSIS法对基于社会网络分析法的结果进行量化分析,找出中国老年人健康信息素养困境的核心问题。结果:中国老年人对数字健康技术、数字信息等存在负面情绪、支持力度不足、健康信息利用能力不足、健康信息甄别能力不足、数字设备操作能力不足等核心问题。结论:纤解老年人对数字技术、数字信息等的负面情绪,增强支持体系,提高其健康信息素养,落实产品和服务的适老化改造,并强化政府的领导与监管职能是打破我国老年人健康信息素养困境的必要举措。

在线社交网络中用户地理位置预测综述

随着智能移动终端的日益普及,人们越来越多地利用社交网络平台(如Twitter、新浪微博等)获取信息、评论和交流.虽然全球卫星定位系统(GPS)设备能够精确获取位置信息,但是大量用户出于隐私和安全的考虑不会直接共享自己的位置信息.因此,如何获取在线用户的地理位置成为了一个前沿的研究领域以及学术界和工业界共同关注的重要课题,并且成为众多下游应用的基础,例如基于位置的定向广告投放、事件/地点的推荐、自然灾害或疾病预警和网络犯罪的追踪等.详细总结了预测社交网络用户地理位置的方法、数据、评价体系和基础算法.首先,归纳了不同的定位任务以及相应的评价指标;其次,针对不同的任务梳理所用的数据类型和数据融合方式,并且,详尽分析了已有的信息抽取和特征选择方式及其优缺点;再次,对现有定位模型和算法进行分类,从地名词典、传统机器学习和深度学习3个方面对用户定位方法进行阐述和分析;最后,总结了社交网络用户地理位置预测的难点和面临的挑战,并展望该领域的发展趋势和未来研究所需要关注的方向.

基于SNA的煤矿工人安全信息认知影响因素研究

大多数煤矿事故是由人的不安全行为导致的,而人的不安全行为是煤矿工人安全信息认知水平力低下造成的。为预防和控制煤矿工人在安全信息认知失效下引发的煤矿安全事故,通过分析我国近年典型的煤矿事故案例,确定影响煤矿工人安全信息认知的3个一级指标和15个二级指标,并利用社会网络分析法构建煤矿工人安全信息认知网络;通过对安全信息认知因素进行整体网络密度、个体网络密度、节点的度数中心度、节点的中间中心度、关键影响因素和重要影响路径,得出辨识理解能力、安全知识等5个关键影响因子,并识别出关键影响路径。

山东半岛城市群旅游信息流网络结构及其影响因素分析

信息与通讯技术的发展降低了旅游信息获取的难度,促成了旅游信息在地域范围内的流动,在城市之间形成了旅游信息流网络。文章基于百度指数,借助场强模型、社会网络分析和QAP分析,以山东半岛城市群为例,探究城市群内部旅游信息流特征与规律,并解释影响旅游信息流网络结构的驱动机制。研究发现:旅游信息流场强时间分布上,山东半岛城市群旅游信息流总场强,集聚场强和扩散场强演变过程基本一致,呈先上升后下降的趋势;空间分布上,山东半岛城市群总场强呈现多核心的特点,集聚场强由多核心场强特征向双核心方向演变,扩散场强呈现东西方向边缘地区高于中部地区,且由南向北减弱的结构特点。山东半岛城市群旅游信息流网络具有核心—次级核心—边缘地区的结构特点,核心地区较为稳定,次级核心区域变化较大,边缘地区变化不大,旅游信息流网络结构向双核心方向发展。旅游信息流网络结构影响因素上,推力和拉力因素与山东半岛旅游信息流网络结构具有较强的相关性而阻力因素相关性不明显,推力和拉力因素中的人口因素、信息化程度和公共服务水平的影响最为突出。

考虑节点间强弱关系的突发事件信息传播网络分析

[目的/意义]新媒体技术的飞速发展使得社交媒体平台成为信息传播的主要载体。运用社会网络分析法研究微博舆论场中突发事件信息传播结构及传播模式,为政府高效应对突发事件危机提供理论支持。[方法/过程]以“唐山烧烤店打人事件”为例进行微博数据采集,构建具有节点间强弱关系的信息转发网络,运用社会网络分析法分析信息转发网络的用户属性、节点属性、网络属性和传播属性,探讨节点间强弱关系在突发事件信息传播中的作用规律。[结果/结论]1)网络用户的性别、活跃度、地域等因素影响用户传播力;2)核心节点的作用尤为关键,他们在传播链条中起到“桥梁”的作用,弱关系和权威关系的传播主要集中在少数核心节点之间,而强关系的传播路径较为分散;3)突发事件信息传播网络具有较高的传播效率,且呈现出稀疏的特征;4)整个信息传播过程中仍以弱关系传播为主,权威连接在信息传播的各个阶段均发挥重要作用,而强连接的作用主要集中于信息传播的初始阶段。研究结果为相关部门制定有效的突发事件传播和引导策略提供了支撑。

SNA视域下我国健康信息素养领域研究热点与作者网络研究

梳理国内健康信息素养领域的已有研究成果,揭示该领域的研究热点与作者团体研究侧重点。文章以中国知网为数据来源,借助SATI 3.2、SPSS 26.0、Ucinet 6.204、Netdraw 2.119等软件,结合共词分析法和社会网络分析法,对高频关键词进行聚类分析,并对作者网络进行可视化研究。得出我国健康信息素养领域存在三大主流研究方向,即图书馆健康信息服务研究、健康信息素养影响因素分析、健康信息行为相关研究;并指出该领域学者间联系较为松散,整体网络中存在大量孤立节点,且子网络规模普遍较小,仍需进一步促进知识交流和信息共享。

基于文献计量的国内用户信息行为研究

[目的/意义]旨在全面展现国内图书情报领域信息行为研究现状,并展望未来发展趋势。[方法/过程]利用文献计量法和社会网络分析法,对国内信息行为核心文献进行梳理,借助Excel、Ucinet、Netdraw软件,从发文年份、核心作者、发文机构、期刊分布、引文分析及热点分析等方面,揭示该领域发展状况。[结果/结论]国内信息行为研究处于稳定发展阶段,高产作者部分已形成研究团队,主题关注信息搜寻行为、影响因素分析、信息行为主体等研究;并就延展研究对象,加强主体、作者间交流,依托图书馆创新等方面提出建议,以深化领域进一步研究。

黄河下游城市群信息网络空间结构研究

基于2021年城市间信息关注度数据,利用社会网络分析法,从网络层级、城市节点、空间聚类、空间组织模式等方面研究黄河下游城市群信息网络空间结构特征,并提出黄河下游城市群高质量协同发展策略.研究表明:黄河下游城市群信息联系层级分布具有明显等级性和距离衰减性,形成以区域中心城市——郑州、济南、青岛为核心的“核-辐结构”;黄河下游城市群城市节点的程度中心度和接近中心度呈现梯度分异,中介中心度出现明显极化现象,郑州、济南、青岛始终处于中心位置,山西、河北、安徽省内大部分城市处于边缘位置;黄河下游城市群空间聚类的划分具有地域邻近性,且受省级行政边界的限制,形成“四大片区八个组群”;黄河下游城市群信息网络形成以郑州、济南、青岛为核心,临沂、潍坊、烟台、洛阳、邯郸、南阳、新乡等为次级核心的网络型组织模式.

Understanding the mechanism of social tie in the propagation process of social network with communication channel

The propagation of information in online social networks plays a critical role in modern life,and thus has been studied broadly.Researchers have proposed a series of propagation models,generally,which use a single transition probability or consider factors such as content and time to describe the way how a user activates her/his neighbors.However,the research on the mechanism how social ties between users play roles in propagation process is still limited.Specifically,comprehensive summary of factors which affect user’s decision whether to share neighbor’s content was lacked in existing works,so that the existing models failed to clearly describe the process a user be activated by a neighbor.To this end,in this paper,we analyze the close correspondence between social tie in propagation process and communication channel,thus we propose to exploit the communication channel to describe the information propagation process between users,and design a social tie channel(STC)model.The model can naturally incorporate many factors affecting the information propagation through edges such as content topic and user preference,and thus can effectively capture the user behavior and relationship characteristics which indicate the property of a social tie.Extensive experiments conducted on two real-world datasets demonstrate the effectiveness of our model on content sharing prediction between users.

情感驱动的社交网络用户内容创建及信息传播行为研究

[目的/意义]证实社交网络用户情感对内容创建及信息传播行为的影响机理。[方法/过程]采用Python爬取微博用户言论数据。首先,基于文本分析计算用户情感值;其次,对用户内容创建及信息传播行为进行定量分析;最后,通过构建固定效应回归模型对研究假设进行检验。[结果/结论]用户情感及情感改变对社交网络行为均有显著影响,用户情感越强烈、越极端,用户内容创建及信息传播行为越频繁;用户情感改变越剧烈,用户社交网络行为变化越大;用户性别及认证属性对情感与社交网络行为的关系起到了调节效应。

Pajek在图书情报学不同研究主题的应用现状分析

[目的/意义]Pajek是利用社会网络分析方法,在科学研究过程中常用的工具之一。[方法/过程]文章通过论文全文内容分析,挖掘Pajek的常用功能在图书情报学论文中的应用情况。首先,通过Pajek的菜单和相关图书内容梳理其常用功能。然后,以CNKI为数据源,检索并收集“图书情报与数字图书馆”领域利用Pajek的论文全文,共243篇。最后,通过论文全文内容分析Pajek功能在不同研究主题的应用情况。[结果/结论]研究发现,研究者对点度中心性、社区划分、网络可视化等功能使用较多;Pajek在研究热点与研究现状、科研合作、研究方法等领域应用较多。

Ucinet在国内图书情报学领域应用现状分析

[目的/意义]Ucinet是利用社会网络分析方法进行科学研究过程中常用的工具之一。文章通过论文全文内容分析,挖掘Ucinet的常用功能在图书情报学论文中的应用情况。[方法/过程]文章首先通过Ucinet的菜单和相关图书内容梳理其常用功能。然后以CNKI为数据源,收集“图书情报与数字图书馆”领域利用Ucinet工具的449篇相关论文的全文,使用文献计量、内容分析和社会网络分析3种研究方法,对Ucinet的功能和研究主题之间的关联进行较为深入的分析。[结果/结论]研究发现,Ucinet工具应用相关的论文数量经过一个较长时间段的增长后,目前有所下降;Ucinet主要应用在研究态势、研究热点与前沿、合作关系、研究主题分布、社交媒体、研究群体6个研究主题;Ucinet使用过程中存在着集中与分散的现象;Ucinet工具在NetDraw、中心度、网络密度、小世界网络、凝聚子群分析和结构洞6个方面的功能应用较多。

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.