A character social network relationship map tool to facilitate digital humanities research

• Published in: Library hi tech Vol. 41; no. 2; pp. 516 - 542
• Main Authors: Chen, Chih-Ming, Chang, Chung, Chen, Yung-Ting
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 01.06.2023; Emerald Group Publishing Limited
• Subjects: Annotations; Character recognition; Collaboration; Data analysis; Data mining; Digital archives; Digital computers; Digital humanities; Digital mapping; Digital technology; Digitization; Human-computer interface; Humanism; Information technology; Knowledge; Names; Natural language processing; Network analysis; Real time; Semantics; Sequential analysis; Smoothness; Social network analysis; Social networks; System effectiveness; Technology utilization; Texts; Human-computer interaction; Information visualization; Digital humanities; Chinese ancient book; Character name recognition; Social networks analysis
• DOI: 10.1108/LHT-08-2020-0194
• ISSN: 0737-8831

PurposeDigital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study develops a character social network relationship map tool (CSNRMT) that can semi-automatically assist digital humanists through human-computer interaction to more efficiently and accurately explore the character social network relationships from Chinese ancient texts for useful research findings.Design/methodology/approachWith a counterbalanced design, semi-structured in-depth interview, and lag sequential analysis, a total of 21 research subjects participated in an experiment to examine the system effectiveness and technology acceptance of adopting the ancient book digital humanities research platform with and without the CSNRMT to interpret the characters and character social network relationships.FindingsThe experimental results reveal that the experimental group with the CSNRMT support appears higher system effectiveness on the interpretation of characters and character social network relationships than the control group without the CSNRMT, but does not achieve a statistically significant difference. Encouragingly, the experimental group with the CSNRMT support presents remarkably higher technology acceptance than the control group without the CSNRMT. Furthermore, use behaviors analyzed by lag sequential analysis reveal that the CSNRMT could assist digital humanists in the interpretation of character social network relationships. The results of the interview present positive opinions on the integration of system interface, smoothness of operation, and external search function.Research limitations/implicationsCurrently, the system effectiveness of exploring the character social network relationships from texts for useful research findings by using the CSNRMT developed in this study will be significantly affected by the accuracy of recognizing character names and character social network relationships from Chinese ancient texts. The developed CSNRMT will be more practical when the offered information about character names and character social network relationships is more accurate and broad.Practical implicationsThis study develops an ancient book digital humanities research platform with an emerging CSNRMT that provides an easy-to-use real-time interaction interface to semi-automatically support digital humanists to perform digital humanities research with the need of exploring character social network relationships.Originality/valueAt present, a real-time social network analysis tool to provide a friendly interaction interface and effectively assist digital humanists in the digital humanities research with character social networks analysis is still lacked. This study thus presents the CSNRMT that can semi-automatically identify character names from Chinese ancient texts and provide an easy-to-use real-time interaction interface for supporting digital humanities research so that digital humanists could more efficiently and accurately establish character social network relationships from the analyzed texts to explore complicated character social networks relationship and find out useful research findings.