Jumping Risk Communities in the Energy Industry: An Empirical Analysis Based on Time-Varying Complex Networks

This paper uses the 5-five-minute high-frequency data of energy-listed companies in China's A-share market to extract the jump of energy stock prices and build a dynamic stock price jump complex network. Then, we analyze the clustering effect of the complex network. The research shows that the energy stock price jump is an important part of stock price volatility, and the complex network of energy stock jump risk has obvious time-varying characteristics. However, the infection problem of stock price jump risks needs specific analysis. China's coal industry has an important influence on the development of China's energy industry. According to the clustering analysis results of the network community, the clustering effect of the network community has time-varying characteristics. After October 2017, the clustering effect of the jumping risk of the coal industry and the new energy industry is obvious. The risk contagion within the new energy industry community is a key point for the development of the new energy industry.

Professional Network Community for Training Youth Workers: Conceptual Framework and Prerequisites for the Creation

Currently, in the context of the transition to hybrid education, new network forms of communication and interaction of teachers, students as well as specialists are in demand in the framework of personnel training, research and professional activities. The article reveals the main aspects of the integrated network community for training professionals working with youth in the field of educational and youth social policy. Network community can be viewed as an important resource for the development of both the participants themselves and the specific professional sphere. The purpose of the article is to describe the conceptual framework of a professional network community for training personnel for working with youth in the context of social, educational and youth policy and identify the prerequisites for its creation.In the course of the work, we used such methods as structural and functional analysis, system synthesis, modeling and an online survey. The sample comprised university students, faculty members, and youth workers (n = 147) from six federal districts of Russia.The conceptual framework of the professional network community presented on the basis of systemic-synergetic and constructive methodological approaches enables 1) to formulate its idea as a collaboration for personnel training, scientific research, joint projects implementation and self-development of participants; 2) to identify systemic contradictions, the solution of which is directed by the interaction of community members; 3) to determine the axiological basis, purpose, objectives and stages of deployment; 4) to identify the degree of its relevance, the presence of common interests among all its participants on the basis of the results of empirical research that may be useful in the professional network communities design.

Pendidikan Umat dan Potensi Gerakan Sosial Online di Era Pandemi COVID-19

Many issues are emerging during Covid-19 pandemic and one of them is mobility restriction. Some of society engagement research were still conducted in physical format with strict health protocols and some others were using hybrid methods of society engagement, combining offline and online activities. The purpose of this study is to provide an alternative way to deal with the pandemic. During pandemic, it is difficult to reach Indonesian society directly. This study conducted a series of full virtual interaction, in collaboration with the Leading Intellectual Network Community (JIB) supported mostly by Muhammadiyah young generation. The targeted audience of this society engagement were active members of JIB, its followers, and Islamic community in Indonesia at large. It focusses on actual discussion related to Covid-19 pandemic in the form of educative talk show to build public awareness. We invite credible speakers such as medical researchers, voluntary doctor on Covid-19, social scientists, and public policy advisor. This society engagement was based on Zoom platform that was broadcasted through JIB POST official website, YouTube, Facebook, and Instagram. These activities were evaluated and received feedback from WhatsApp Group JIB; expression of engagement of the audience based on subscribe, like, viewers, dan comments; and a report news on JIB POST official website. The activities presented a good result which are reaching the target of a thousand subscribers on the social media and hundreds of viewers with many positive responses from the members of JIB for every talk shows.

Russian Twitter as an Interpretation and Agenda-Setting Tool

The article examines the specifics of the Russian Twitter communication space from the perspective of the agenda-setting theory by Maxwell McCombs and Donald Shaw. Various topics’ blogs are analyzed to identify the communication features of Twitter interaction with external communication channels and information platforms. The authors apply semantic and event analysis to consider the main methods of Twitter influence on the external communication environment, and provide the interpretation of the events in the external environment within social network community. Based on this analysis the authors conclude concludes about the role of Twitter as one of the news feeds interpretive aggregators from the external communication space, which transforms meanings and creates its own in the framework of influencing the audience, and consider further prospects for researching the Twitter media environment to identify its interrelations with the communication environment.

The Internal Connection Analysis of Information Sharing and Investment Performance in the Venture Capital Network Community

In order to explore the internal connection between information sharing and investment performance in the venture capital network community, this study took environmental-governance start-ups as the research object and used the 2009–2020 environmental-social enterprise start-up venture capital investment events as a data sample. The successful exit rate of the venture capital portfolio and the successful listing rate of investment ventures were used as the measurement criteria. Combined with regression analysis, the relationship between information sharing and investment performance in the venture capital network community was analyzed in detail. Research shows that there are differences between the ways of information sharing in the venture capital network communities. In the regression results, all coefficients are less than 0.01. There is a positive correlation between information sharing and investment performance in the venture capital network community. With the increase in enterprise characteristic variables, the degree of enterprise risk information sharing is getting higher and higher. This ultimately leads to more and more frequent corporate investment performance and a higher possibility of acquisition. Among them, the degree of information sharing in the venture capital network community is relatively high, and venture capital companies that are supported by corporate venture capital institutions will benefit even more from listed capital. Not only was the analysis of the relationship between finance and investment in the venture capital network community pointed out in this research, but also the investment development of entrepreneurial enterprises was also provided with feasible suggestions.

An Empirical Study on Knowledge Aggregation in Academic Virtual Community Based on Deep Learning

Academic virtual community provides an environment for users to exchange knowledge, so it gathers a large amount of knowledge resources and presents a trend of rapid and disorderly growth. We learn how to organize the scattered and disordered knowledge of network community effectively and provide personalized service for users. We focus on analyzing the knowledge association among titles in an all-round way based on deep learning, so as to realize effective knowledge aggregation in academic virtual community. We take ResearchGate (RG) “online community” resources as an example and use Word2Vec model to realize deep knowledge aggregation. Then, principal component analysis (PCA) is used to verify its scientificity, and Wide & Deep learning model is used to verify its running effect. The empirical results show that the knowledge aggregation system of “online community” works well and has scientific rationality.