The Character Network in Liviu Rebreanu’s Ion: A Quantitative Analysis of Dialogue

This study revisits what is widely considered “the first modern novel” in Romanian literature, Liviu Rebreanu’s Ion, from a network theory perspective. Isolating the dialogue and quantitatively analysing the interventions of every character and their interactions in the fictional world, it provides a blueprint for the exploration of social and personal dynamics between characters. In recent years, rural literature in Romania has undergone a recontextualization process. Following in the footsteps of these approaches, our research provides the first character network of Ion and outlines who talks, how much, and to whom. It also explores how differences in social class influence speaking time or the structure of the individual discourses, taking an in-depth look at the relationship between and roles of the two characters who talk most.

Transmedia characters: Theory and analysis

This article sketches a theoretical framework and method for the analysis of transmedia characters that focuses on specific instantiations of these characters in individual media texts, before asking how these local work-specific characters relate to other local work-specific characters or coalesce into glocal transmedia characters as part of global transmedia character networks, thus evading what one could consider an undue emphasis on the “model of the single character” when analyzing the various characters that are, for example called Sherlock Holmes, Batman, or Lara Croft. The connections between these work-specific characters within transmedia character network could then be described as either relations of redundancy, relations of expansion, or relations of modification – with only redundancy and expansion allowing for medial representations of work-specific characters to contribute to the representation of a single transmedia character. In intersubjectively constructing characters across media, however, recipients will not only take into account powerful normative discourses that police the representation of characters across media but also draw on their accumulated knowledge about previously represented work-specific or transmedia characters as well as about transmedia character templates and even more general transmedia character types.

UP TO DATE CULTURAL PRACTICES IN MODERN PROJECTIVE INDUSTRIES

The article analyzes the connection between some forming relevant tendencies and the newest cultural practices, the development of which is due to economical, technical and social context. Such features as mass character, consumerism, innovativeness, integrality, media character, network and information unity, fundamentally transform the image of civilization and people’s lifestyle. Human projective activity vectors are explored with terminological tools of cultural anthropology and civilizational movement dominants defined by modern thinkers. Evolution of language and aims of substantial practices are showed and new architectural and design styles, like recycling-, pop-, eco-, recreational, motion-, media-design and so on, are marked and characterized. Modern phase of art’s development, that integrates it with other cultural practices, such as science, trade, production, communication, medicine, show-business, tourism, etc., which change its forms and nature (media-art, video-art, transmission-art, technological art (electronic, robot- and genomic-art, internet-art). All these types of architectural, design and artistic activity exist and are fulfilled in kind of intensive fusion, organizing and fundamentally changing human’s habitat. The variety of design styles are strongly connected today with the commitment to unify form-creating intentions, that had been disconnected during the movement of social progress, which means conformity with modernity’s character and requirements while maintaining ontological basis that gives a human sense of home and self-identity. Designer practices that implement communicative interactive potential in projectivity while keeping spaces alive and human are able to perform this harmony. Hence, exploration of features and vectors of the embodied in real and virtual substance projective activity gives a deeper understanding of the sense of civilizational transformations and their connection with human’s substantive dimensions.

Analysis of character network heat based on web retrieval technology

Information technology is now developing rapidly, the Internet has also obtained widespread popularization. The amount of information on the network is increasing exponentially, whose information sources are widely distributed and varied. If the information can’t be managed in an orderly manner, it will be difficult for the user to extract the information they need from such a massive amount of information. Although the current search engine give people a lot of convenience in searching for information, but the search engine can’t reflect the user’s personalized information demand with facing a wide variety of users with different information needs, knowledge background and interest. In this paper, a recommendation method based on search results with java as a technology is implemented. This method takes Baidu hot people ranking as an example for verifying.

Complex Networks: Statistical Properties, Community Structure, and Evolution

We investigate the function for different networks based on complex network theory. In this paper, we choose five data sets from various areas to study. In the study of Chinese network, scale-free effect and hierarchical structure features are found in this complex system. These results indicate that the discovered features of Chinese character structure reflect the combination nature of Chinese characters. In addition, we study the community structure in Chinese character network. We can find that community structure is always considered as one of the most significant features in complex networks, and it plays an important role in the topology and function of the networks. Furthermore, we cut all the nodes in the different networks from low degree to high degree and then obtain many networks with different scale. According to the study, two interesting results have been obtained. First, the relationship between the node number of the maximum communities and the number of communities in the corresponding networks is studied and it is linear. Second, when the number of nodes in the maximum communities is increasing, the increasing tendency of the number of its edges slows down; we predict the complex networks have sparsity. The study effectively explains the characteristic and community structure evolution on different networks.