The relationship between human behavior and the process of epidemic spreading in a real social network

2012 ◽  
Vol 85 (7) ◽  
Author(s):  
A. Grabowski ◽  
M. Rosińska
2021 ◽  
pp. 073563312110273
Author(s):  
Zhi Liu ◽  
Ning Zhang ◽  
Xian Peng ◽  
Sannyuya Liu ◽  
Zongkai Yang ◽  
...  

In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of investigations on the combination of social and cognitive behavioral patterns. To fill in this gap, this study aimed to uncover the relationship between social interaction, cognitive processing, and learning achievements in a MOOC discussion forum. Specifically, we collected the 3925 participants’ forum data throughout 16 weeks. Social network analysis and epistemic network analysis were jointly adopted to investigate differences in social interaction, cognitive processing between two achievement groups, and the differences in cognitive processing networks between two types of communities. Finally, moderation analysis was employed to examine the moderating effect of community types between cognitive processing and learning achievements. Results indicated that: (1) the high- and low-achieving groups presented significant differences in terms of degree, betweenness, and eigenvector centrality; (2) the stronger cognitive connections were found within the high-achieving group and the instructor-led community; (3) the cognitive processing indicators including insight, discrepancy, and tentative were significantly negative predictors of learning achievements, whereas inhibition and exclusive were significantly positive predictors; (4) the community type moderated the relationship between cognitive processing and learning achievements.


Author(s):  
D. Egorov

Adam Smith defined economics as “the science of the nature and causes of the wealth of nations” (implicitly appealing – in reference to the “wealth” – to the “value”). Neo-classical theory views it as a science “which studies human behavior in terms of the relationship between the objectives and the limited funds that may have a different use of”. The main reason that turns the neo-classical theory (that serves as the now prevailing economic mainstream) into a tool for manipulation of the public consciousness is the lack of measure (elimination of the “value”). Even though the neo-classical definition of the subject of economics does not contain an explicit rejection of objective measures the reference to “human behavior” inevitably implies methodological subjectivism. This makes it necessary to adopt a principle of equilibrium: if you can not objectively (using a solid measurement) compare different states of the system, we can only postulate the existence of an equilibrium point to which the system tends. Neo-classical postulate of equilibrium can not explain the situation non-equilibrium. As a result, the neo-classical theory fails in matching microeconomics to macroeconomics. Moreover, a denial of the category “value” serves as a theoretical basis and an ideological prerequisite of now flourishing manipulative financial technologies. The author believes in the following two principal definitions: (1) economics is a science that studies the economic system, i.e. a system that creates and recombines value; (2) value is a measure of cost of the object. In our opinion, the value is the information cost measure. It should be added that a disclosure of the nature of this category is not an obligatory prerequisite of its introduction: methodologically, it is quite correct to postulate it a priori. The author concludes that the proposed definitions open the way not only to solve the problem of the measurement in economics, but also to address the issue of harmonizing macro- and microeconomics.


Author(s):  
Б.Г. Вульфович

Задачей данной статьи является рассмотрение лингвопрагматических особенностей комментариев пользователей социальной сети «Твиттер» на выход Великобритании из ЕС. Анализ данных комментариев с лингвопрагматической точки зрения представляет интерес, так как показывает наиболее актуальную картину отношения пользователей социальных сетей к произошедшему событию. Приоритетными методами анализа лингвопрагматического потенциала Интернет-комментариев для нас являются: описательный метод, метод прагматического анализа, т.е. рассмотрение языкового материала в его непосредственном контексте в функциональном аспекте, метод частичной выборки, метод контекстологического описания. Контекстуальный метод был использован с целью установления особенностей комментариев в среде социальной сети «Твиттер»; описательный метод - для выявления непосредственного отношения пользователей социальных сетей к выходу Великобритании из ЕС; частичной выборки - для отбора наиболее эффективных и целостных комментариев с позиции прагматики и их реализации в данном контексте. Проведённое исследование позволило установить, что большинство людей удовлетворено результатами выхода Великобритании из ЕС и положительно отзывается об этом событии. Об этом свидетельствует как большое количество экспрессивов, использованных в интернет-комментариях в отношении данного события, так и активное употребление в них оценочной лексики. Результаты проведённого исследования могут быть применены в теоретических работах по описанию характеристик речевых актов, в курсе теоретической грамматики, стилистики, прагмалингвистики. The purpose of this article is to review the linguo-pragmatic features of Brexit represented in the comments in Twitter. Their analysis from a linguistic-pragmatic point of view may be of interest, since it shows the most relevant picture of the relationship of social network users for the event. The priority methods for analyzing the linguo-pragmatic potential of Internet comments for us are: a descriptive method, a pragmatic analysis method, i.e. consideration of linguistic material in its immediate context in the functional aspect, partial sampling method, contextual description method. The contextual method was used to establish the characteristics of comments on the Twitter social network; descriptive method was used to identify the direct relationship of social network users to the UK exit from the EU; partial sampling was used to select the most effective and holistic comments from the position of pragmatics and their implementation in this context. The study found that most people are satisfied with the results of the UK exit from the EU and respond positively to this event. The results of the study can be applied in theoretical works on the description of the characteristics of speech acts, in the course of theoretical grammar, stylistics, pragmalinguistics.


2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Jun Long ◽  
Lei Zhu ◽  
Zhan Yang ◽  
Chengyuan Zhang ◽  
Xinpan Yuan

Vast amount of multimedia data contains massive and multifarious social information which is used to construct large-scale social networks. In a complex social network, a character should be ideally denoted by one and only one vertex. However, it is pervasive that a character is denoted by two or more vertices with different names; thus it is usually considered as multiple, different characters. This problem causes incorrectness of results in network analysis and mining. The factual challenge is that character uniqueness is hard to correctly confirm due to lots of complicated factors, for example, name changing and anonymization, leading to character duplication. Early, limited research has shown that previous methods depended overly upon supplementary attribute information from databases. In this paper, we propose a novel method to merge the character vertices which refer to the same entity but are denoted with different names. With this method, we firstly build the relationship network among characters based on records of social activities participating, which are extracted from multimedia sources. Then we define temporal activity paths (TAPs) for each character over time. After that, we measure similarity of the TAPs for any two characters. If the similarity is high enough, the two vertices should be considered as the same character. Based on TAPs, we can determine whether to merge the two character vertices. Our experiments showed that this solution can accurately confirm character uniqueness in large-scale social network.


Author(s):  
Yair Amichai-Hamburger ◽  
Shir Etgar ◽  
Hadar Gil-Ad ◽  
Michal Levitan-Giat ◽  
Gaya Raz

Celebrities are famous people who often belong to entertainment industry. They are known to have a strong influence on people’s behavior. In the digital age this impact has expanded to include the online arena. Celebrities increasingly utilize Instagram, an online social network, to promote commercial products. It is important to learn to what extent people are influenced by this type of promotion and what sort of people are likely to be swayed by it. Research has demonstrated that people’s personalities have a strong impact on their behaviors online. However, until now, these investigations have not included the relationship between personality and the degree of celebrity influence through social networks. This study examines how much the personality of a user is related to the degree to which he or she is influenced by these Celebrity Instagram messages. Participants comprised 121 students (34 males, 87 females). They answered questionnaires which focused on their personality and were asked about the degree of influence celebrities exerted upon them through Instagram. Results showed that people who are characterized as being open and having an internal locus of control are more resistant to such celebrity influences. This paper demonstrates that the personality of a recipient is likely to influence the degree of impact that a celebrity endorsement is likely to produce. The implications of these results are discussed.


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