Connecting Twitter With Scholarly Networks: Exploring HCI Scholars’ Interactions From an SNA Approach

Abstract

Background: Building a reputable network on Twitter is viewed as impactful in several scholarly disciplines, but little is known about the professional and interdisciplinary human-computer interaction (HCI) community. This study combined two approaches from scholarly communication and technical communication to capture the static and dynamic features of the HCI scholar Twitter network. Literature review: Related studies that described the scholarly reputation built through Twitter and social networking in the field of HCI were reviewed and discussed. Research questions: 1. In which countries are HCI scholars more likely to follow their peers in the same country? 2. What are the characteristics (country, reputation) and actions (reciprocity) of HCI scholars who are more likely to build HCI scholarly network profiles on Twitter? Research methodology: The network analysis method of the exponential random graph model (ERGM) was adopted to trace and visualize current follower networks on Twitter. Results and discussion: We found that 22.9% of HCI scholars use Twitter and that reciprocity and country of current employment best drive the Twitter connections of scholars. Characteristics of HCI scholars’ tie formation online are also illustrated and discussed. Implications for practice: This study contributes to field studies of professional networks by identifying the structural properties and factors that influence scholars’ search for professional development on Twitter. The empirical findings should be a helpful reference for HCI professional societies and individual scholars in operating online professional networks.