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In prose literature often complex dynamics of interpersonal relationships can be observed between the different characters. Traditionally, node-link diagrams are used to depict the social network of a novel. However, static graphs can only visualize the overall social network structure but not the development of the networks over the course of the story, while dynamic graphs have the serious problem that there are many sudden changes between different portions of the overall social network. In this paper we explore means to show the relationships between the characters of a plot and at the same time their development over the course of a novel. Based on a careful exploration of the design space, we suggest a new visualization technique called Fingerprint Matrices. A case study exemplifies the usage of Fingerprint Matrices and shows that they are an effective means to analyze prose literature with respect to the development of relationships between the different characters. MotivationLiterature can be studied in a number of different ways and from many perspectives, but text analysis will surely always make up a central component of literature studies. Our work aims at supporting literature scholars in this task by providing them with visualizations that make patterns or trends with respect to a certain text property easy to perceive. Specifically, the approach presented in this paper concentrates on the development of social networks in prose literature that represent the relationships between characters in a novel. The visualization of such networks can reveal inherent patterns like subgroups of characters that interact with each other. However, usually the relationships in a novel are not static but develop during the plot. Social networks build up gradually and some acquaintances may only be important for part of the story. The goal of our work is to enable literature scientists to dig deeper and explore a novel in terms of where in the plot certain protagonists are related to each other. This way a deeper understanding of the structure of the novel with respect to co-occurrences of characters becomes possible and more details of the story line are revealed. The basic idea of the paper is to visualize pairwise relations between characters in so-called co-occurrence glyphs that can be considered a fingerprint of the dynamics between two protagonists. The fingerprints are arranged in an adjacency matrix to get the overall picture of the storyline.The paper is structured as follows: First, some background information about the applied natural language processing techniques as well as related work is given in Section 2. This is followed by a careful consideration of the design space in Section 3 which motivates the visualization technique that is introduced in Section 4. Section 5 explains how to read Fingerprint Matrices. This is further exemplified in the case studies in Section 6 in which a modern English novel and a Swedish novel of the 19th century are analyzed. The paper concludes with a summary an...
In prose literature often complex dynamics of interpersonal relationships can be observed between the different characters. Traditionally, node-link diagrams are used to depict the social network of a novel. However, static graphs can only visualize the overall social network structure but not the development of the networks over the course of the story, while dynamic graphs have the serious problem that there are many sudden changes between different portions of the overall social network. In this paper we explore means to show the relationships between the characters of a plot and at the same time their development over the course of a novel. Based on a careful exploration of the design space, we suggest a new visualization technique called Fingerprint Matrices. A case study exemplifies the usage of Fingerprint Matrices and shows that they are an effective means to analyze prose literature with respect to the development of relationships between the different characters. MotivationLiterature can be studied in a number of different ways and from many perspectives, but text analysis will surely always make up a central component of literature studies. Our work aims at supporting literature scholars in this task by providing them with visualizations that make patterns or trends with respect to a certain text property easy to perceive. Specifically, the approach presented in this paper concentrates on the development of social networks in prose literature that represent the relationships between characters in a novel. The visualization of such networks can reveal inherent patterns like subgroups of characters that interact with each other. However, usually the relationships in a novel are not static but develop during the plot. Social networks build up gradually and some acquaintances may only be important for part of the story. The goal of our work is to enable literature scientists to dig deeper and explore a novel in terms of where in the plot certain protagonists are related to each other. This way a deeper understanding of the structure of the novel with respect to co-occurrences of characters becomes possible and more details of the story line are revealed. The basic idea of the paper is to visualize pairwise relations between characters in so-called co-occurrence glyphs that can be considered a fingerprint of the dynamics between two protagonists. The fingerprints are arranged in an adjacency matrix to get the overall picture of the storyline.The paper is structured as follows: First, some background information about the applied natural language processing techniques as well as related work is given in Section 2. This is followed by a careful consideration of the design space in Section 3 which motivates the visualization technique that is introduced in Section 4. Section 5 explains how to read Fingerprint Matrices. This is further exemplified in the case studies in Section 6 in which a modern English novel and a Swedish novel of the 19th century are analyzed. The paper concludes with a summary an...
In the 21st century, the rapid technological development in different innovations has not reduced the value of human capital. It is considered to be the most valuable capital of businesses and acts as a driving force of business activity. The perception of human capital should be essential since it has a real impact on the business's success. In human resources management, it is necessary to keep in mind one of the basic functions of management: motivation, planning, and organizing. The main goal of this article is to identify the critical determinants of motivation factors of the human resources capital in the retail sector. An adequately motivated employee is a key to achieving the company goals since employee motivation maintains customer satisfaction and loyalty. Based on the results, the most popular motivation tools proved to be the financial incentives in the form of salary increases or bonuses. In the case of generational differences, there is no difference in the degree of satisfaction with the salary. The employees expressed to be less satisfied with their workplace's communication and leadership style. They have no decision-making power at all. Besides, they do not really feel a sense of belonging somewhere. The members of Generation Z are less satisfied with job security than the representatives of older generations. Most of the retail employees do not find their work interesting or diverse. On the other hand, they think the pace of the work is too fast, but they are well prepared for the work they are doing. Based on the answers, most of the respondents disagree with the inappropriate style of feedback they receive from the managers. The members of Generation Z feel that they cannot adequately utilize their knowledge and skills at their workplaces. They get more criticism than praise than the representatives of older generations.
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