Actor Models and Digital Natives

Table of Contents

1. Introduction

1.1. Abstract

1.2. Scientific Contribution

1.3. Structure of the Thesis

2. Background

2.1. Motivation

2.2. Scientific Actor Models

2.2.1. Homo Sociologicus

2.2.2. Homo Oeconomicus

2.2.3. Emotional Man

2.3. Current Internet Evolution

2.3.1. Target Group: Digital Natives

2.3.2. Online Communities: Virtual Meeting points and Third Places

2.3.3. Focus Gaming: E-Athletes and professional Gaming

3. Research Framework

3.1. Influence Factors and Operationalization

3.2. Methodology

3.3. Research Approach

4. Analysis

4.1. Social Network and Results

4.2. Explanatory Value of Actor Models in Online Communities

4.3. Comparison of the Explanatory Value within other Virtual Scenarios

5. Discussion

6. Conclusion and Further Work

7. Appendix

7.1. Existing data from previous scientific approaches

7.2. Data for the approach in this thesis

8. Bibliography

Research Objectives and Themes

This thesis investigates the explanatory power of sociological actor models—specifically the homo oeconomicus, homo sociologicus, and the emotional man—within modern virtual environments. The primary research question addresses how these models describe individual behavior when applied to the context of online gaming communities and digital natives.

• Evaluation of actor models in virtual environments.
• Analysis of social interactions among e-athletes.
• Comparison of rational, social, and emotional influence factors.
• Methodological framework for combining actor models.
• Application of ego-centered network analysis to virtual communities.

Excerpt from the Book

Chapter Summaries

1. Introduction: Outlines the research scope, focusing on the interdisciplinary nature of human interaction in virtual environments and defining the thesis goals.

2. Background: Provides the theoretical foundation by describing major actor models and the evolution of the internet, specifically targeting the digital natives group.

3. Research Framework: Defines the methodology, including the selection of influence factors and the operationalization of actor models for empirical testing.

4. Analysis: Presents the gathered data, covering social network results and an evaluation of the explanatory power of the different actor models in gaming scenarios.

5. Discussion: Critically evaluates the findings and discusses the general usability and limitations of applying sociological actor models to virtual interaction.

6. Conclusion and Further Work: Summarizes the key findings and suggests future research directions concerning the adaptation of actor models to evolving virtual environments.

Keywords

Actor models, Homo oeconomicus, Homo sociologicus, Emotional man, Digital natives, Online communities, E-athletes, Virtual environments, Social interaction, Network analysis, Motivation, Behavioral theory, Web 2.0, Professional gaming, Virtual goods.

Frequently Asked Questions

What is the core focus of this research?

The research examines the effectiveness of traditional sociological actor models in explaining human behavior within virtual environments, using online gaming communities as a case study.

Which specific actor models are analyzed?

The work focuses on the homo oeconomicus (rational actor), the homo sociologicus (norm-oriented actor), and the emotional man (emotion-driven actor).

What is the primary objective?

The primary goal is to determine how well these theoretical models translate to digital interaction and to develop a methodological framework for maximizing their explanatory power in virtual settings.

Which methodology is applied?

The study uses a mixed-methods approach, combining quantitative ego-centered network analysis with qualitative in-depth interviews of eight e-athletes.

What does the main body of the work address?

It covers the background of current internet evolution, the definition of influence factors, the analysis of empirical data from gaming communities, and a comparative discussion of the chosen actor models.

Which keywords best characterize this work?

Key terms include actor models, digital natives, online communities, social interaction, network analysis, and virtual behavior.

How does the author categorize the digital native group?

Digital natives are identified as individuals born after 1980 who have grown up with digital media and perceive technology as an inherent part of their daily environment.

What are the findings regarding the emotional man model?

The research concludes that the emotional man model currently offers the lowest explanatory value for virtual interaction due to the perceived emotional distancing in digital media.

How is trust defined for the network analysis?

Trust is operationalized as the subjects' stated willingness to lend in-game money (which possesses real-world value) to their contacts within the community.