Opinion mining in social media: Modeling,simulating, and forecasting political opinions in the web

Affordable and ubiquitous online communications (social media) provide the means for flows of ideas and opinions and play an increasing role for the transformation and cohesion of society – yet little is understood about how online opinions emerge, diffuse, and gain momentum. To address this problem, an opinion formation framework based on content analysis of social media and sociophysical system modeling is proposed. Based on prior research and own projects, three building blocks of online opinion tracking and simulation are described: (1) automated topic, emotion and opinion detection in real-time, (2) information flow modeling and agent-based simulation, and (3) modeling of opinion networks, including special social and psychological circumstances, such as the influence of emotions, media and leaders, changing social networks etc. Finally, three application scenarios are presented to illustrate the framework and motivate further research.     

信息生态视角下社会网络伦理规约模型构建研究

[目的/意义]社会网络伦理作为社会网络信息活动中产生的新型伦理,其规约模型的构建较为清晰地描述如何规约信息人、信息技术、社会网络环境,从而为处理社会网络伦理缺失行为提供指导。[方法/过程]明确网络伦理的主体关系和研究范畴,基于信息生态的构成要素,阐释社会网络伦理的概念内涵。在对社会网络伦理作用机理进行分析的基础上,认为网络伦理缺失行为的主体根源即信息人的责任意识,以责任伦理为理论切入点,构建社会网络伦理规约模型。以“魏则西事件”为例,阐释社会网络伦理规约模型与该事件监管思想的契合度,最后提出基于社会协同的网络伦理规约实施策略。[结果/结论]建构社会网络伦理规约的理论框架,提出基于社会协同的网络伦理规约实施策略,对于引导和规范网络信息活动具有重要作用。     

Big and open linked data analytics ecosystem: Theoretical background and essential elements

Big and open linked data are often mentioned together because storing, processing, and publishing large amounts of these data play an increasingly important role in today's society. However, although this topic is described from the political, economic, and social points of view, a technical dimension, which is represented by big data analytics, is insufficient. The aim of this review article was to provide a theoretical background of big and open linked data analytics ecosystem and its essential elements. First, the key terms were introduced including related dimensions. Then, the key lifecycle phases were defined and involved stakeholders were identified. Finally, a conceptual framework was proposed. In contrast to previous research, the new ecosystem is formed by interactions of stakeholders in the following dimensions and their sub-dimensions: transparency, engagement, legal, technical, social, and economic. These relationships are characterized by the most important requisites and public policy choices affecting the data analytics ecosystem together with the key phases and activities of the data analytics lifecycle. The findings should contribute to relevant initiatives, strategies, and policies and their effective implementation.     

人际网络结构特征对竞争情报工作的启示

人际网络分析为竞争情报工作开创了一个新的研究方向。本文从定量角度出发,首先分析了竞争情报工作者建立人际网络研究模型的基本过程;接着研究了如何利用网络三大结构特征指标即网络分布密度、网络群聚系数、网络直径对人际网络进行有效分析,从而提高竞争情报工作质量,改善竞争情报工作者在网络中的地位。     

社交网络信息生态链的形成机理及影响因素实证研究

归纳国内外社交网络信息生态链的研究现状,分析社交网络信息生态链的形成机理,对社交网络信息生态链形成的影响因素进行实证研究。用SPSS 18.0对调查问卷进行统计分析,并通过信度分析、因子分析、回归分析得出社交网络信息生态链形成的主要影响因素,按影响程度从大到小依次为：信息生产者和信息消费者的社会网络关系复杂度、信息传递者的信息传播技术、信息生态链环境状况、信息分解者的信息组织技术、信息生产者的信息传播需求。最后提出促进社交网络信息生态链形成的方法与策略。     

Understanding the Nature,Uses, and Gratifications of Social Television: Implications for Developing Viewer Engagement and Network Loyalty

This study employed an online survey (N = 310) to explore how viewers’ motivations for social TV participation influence their involvement in social TV activities, their program commitment, and network loyalty. Findings show that social infotainment and social companionship are the primary motivations of social TV participation. However, only social infotainment significantly predicts the intensity of viewers’ social TV usage, which has a positive influence on program commitment and network loyalty. Additionally, the relationship between social TV usage and network loyalty is partially mediated by program commitment. These findings demonstrate the value of social TV to broadcasters and provide directions for initiating and maintaining long-term relationships with viewers.     

面向危机信息采集的企业人际网络关系模型构建

指出依托社会人际网络理论指导建立便于进行危机信息采集的内外人际网络关系模型,将有助于提高危机预警信息管理的准确性和有效性。分析关系强度理论和结构洞理论与企业危机信息采集的关系,提出依托关系强度理论构建企业内部人际网络模型,依托结构洞理论构建企业外部人际关系网络模型;认为可以通过社会人际网络获取危机预警信息,同时社会人际网络可为企业危机信息管理提供重要智力资源。     

Exponential Random Graph (p*) Models as a Method for Social Network Analysis in Communication Research

Since the 1970s, communication researchers have utilized social network analysis to understand mass, health, organizational, and interpersonal communication. This article introduces communication researchers to a new class of social network analysis methods, exponential random graph (p*) models. This new method represents the latest advancement in social network methodology and will enhance the trajectory of social network research in the communication discipline. The benefits of this class of models include allowing for the simultaneous estimation of attribute and structural parameters, accounting for the interdependent nature of network data, and retaining the complexity of network observations throughout the analysis. An example analysis using data from Shumate, Fulk, and Monge (2005) is provided to illustrate the potentials of exponential random graph modeling. Five different social network software programs capable of the analysis discussed in this article are introduced with regard to their respective benefits. Finally, a brief tutorial based on data from Palazzolo (2005) is given on how to conduct an ERGM analysis using the PNET software program.     

基于社会网络理论的泛在图书馆分析

运用社会网络理论研究泛在图书馆是一种全新的视角。作为一种现实存在的实体,强弱联结、网络位置和密度、社会资本是它的三大核心理论。文章分别从这三方面来研究泛在图书馆,以便更好地构建泛在图书馆。     

社会网络环境下的信息组织与共享研究

文章运用经典扎根理论,以“扎根精神”来研究社会网络环境下的信息组织与共享活动的社会过程,分析影响社会网络环境下的信息组织与共享活动的因素,对现实存在但不易注意到的行为模式进行概念化,形成基于社会网络理论及社会网络分析的概念框架.     

基于“结构洞”视角的组织社会网络内隐性知识共享研究

文章介绍了“结构洞”的相关概念和理论,从结构洞指数和中介中心性指数两个方面论述了结构洞的测度方法,分析了组织社会网络中存在的结构洞所能带来的结构位置利益及其对组织隐性知识共享的影响,最后以一家高新技术企业研发部门内的社会网络为例,利用社会网络分析方法对组织社会网络中的结构洞对组织隐性知识共享的影响进行了实证研究.     

Measuring social capital through network analysis and its influence on individual performance

Studies of social networks highlight the importance of network structure or structural properties of a given network and its impact on performance outcome. One of the important properties of this network structure is referred to as social capital, which is the network of contacts and the associated values attached to these networks of contacts. This study provides empirical evidence of the influence of social capital and performance within the context of academic collaboration (coauthorship) and suggests that the collaborative process involves social capital embedded within relationships and network structures among direct coauthors. Association between scholars' social capital and their citation-based performance measures is examined. To overcome the limitations of traditional social network metrics for measuring the influence of scholars' social capital within coauthorship networks, the traditional social network metrics is extended by proposing two new measures, of which one is non-weighted (the power–diversity index) and the other (power–tie–diversity index) is weighted by the number of collaboration instances. The Spearman's correlation rank test is used to examine the association between scholars' social capital measures and their citation-based performance. Results suggest that research performance of authors is positively correlated with their social capital measures. The power–diversity index and power–tie–diversity index serve as indicators of power and influence of an individual's ability to control communication and information.     

基于社交网站的图书馆服务初探

运用社交网站,开展用户服务,是图书馆满足网络用户信息需求的途径之一。分析目前我国社交网站发展及应用现状,结合实例探讨了利用社交网站开展图书馆服务工作的方式与内容。     

探微知著:从知识库和科举文献中构建历史社会网络——以明代进士群体为中心

文章针对数字人文环境下的历史社会网络分析问题,提出一个基于知识库和文献的历史人物关系网络构建和挖掘方法,以明代进士群体为对象展开实证研究。文章从知识库和科举文献中采集数据并构建进士社会网络,通过量化统计和文献循证分析,对网络的拓扑特征和社会关系分布,核心进士的群体特征及关系子图挖掘等问题,逐一分析与讨论,得到若干基于量化分析的结果,扩展了大数据环境下人文历史领域的研究方法和思维。     

Web2.0环境下网络信息消费行为模式研究

在信息化和工业化融合水平不断提高的大环境下,网络信息消费是"两化"融合进程向社会层面的扩展,是对社会信息化的反应。论文以Web2.0为背景,从微观层面探讨了当前网络信息消费行为模式,力求为提出科学网络信息消费模式奠定基础。     

基于影响强度的社会网络搜索算法研究

目前大部分社会网络搜索算法都基于最短路径原则,忽视社会网络上主体之间社会关系的强度和方向,导致搜索结果不能很好地满足用户需求。考虑到影响强度在社会网络上的重要作用,提出最大影响强度的路径优化原则,并基于该原则构造搜索算法。运用真实社会网络的数据,验证基于最大影响强度的路径优化算法优于基于最短路径的优化算法,即使在两者路径长度相等的情况下,前者的搜索效果也比后者更好。     

Social support and digital inequality: Does Internet use magnify or mitigate traditional inequities in support availability?

This study tested competing predictions about the implications of Internet use for traditional inequities in social support availability. Using survey data collected as part of the Pew Internet and American Life Project, inequities in social support availability stemming from demographic and network-related factors were examined among non-users, Internet users, and Internet users who also participated in a social network site (SNS). The results offered evidence consistent with the social compensation perspective. Traditional inequities in support availability related to age, race, and total network size persisted among respondents who did not use the Internet, but were less evident or absent among Internet users and/or Internet users who participated in an SNS. Using the Internet to connect with others appeared to be an important mechanism through which inequality in support availability was mitigated.     

The Big Three's Prime-Time Decline: A Technological and Social Context

This paper is an analysis of factors associated with the 25-year decline in the prime-time shares of the top 3 television networks. Time series analysis revealed a stronger serial correlation between network decline and social indicators than between network decline and technological factors. Network shares were negatively correlated with indicators of social differentiation, and were also negatively correlated with the penetration of cable and other multiple video programming distribution sources (MVPD) into the nation's households (the technological context). Findings were discussed in terms of the impact of social change on both the audiences and organizations of broadcasting.     

人际网络分析

人际网络是竞争情报和企业发展的一种社会资本。人际网络分析的实质是研究网络中人与人之间的关系 ,其作用在于使网络的运营更加有效。本文在描述人际网络基本内容的基础上 ,论述了人际网络的构建和分析 ,从而为人际网络在竞争情报中的应用提供理论和方法上的导引。     

The role of dyadic social capital in enhancing collaborative knowledge creation

Despite general agreement on the importance of social capital in individual knowledge creation, little is known concerning the role of dyadic social capital in collaborative knowledge creation. This study proposes a classification of dyadic social capital using two-dimensional matrix and investigates their roles in enhancing collaborative knowledge creation. It is found that the dyads who have strong dyadic tie strength while taking advantage of their dyadic bridging social capitals both in the ego network and global network come up with more high-impact knowledge. This study also challenges the statement that an inverted U-shaped relationship between dyadic tie strength and knowledge creation found in previous literatures, and indicates dyadic structure hole serving as effective moderating effect makes the quadratic effect disappear and catalyzes the strength of strong tie.