Call: "The visualization of personal networks"
Sunbelt 2022 Organized Session
Personal network data collection methods allow describing the composition and the structure of an individual's (hereafter ego) social network. This method has been implemented in different domains such as migration, drug use, mental health, aging, education, and social welfare. Over the last years, these data have also been used to provide respondents with visualizations of their personal network, using different algorithms providing customized results through computer assisted data collection. Giving back results to ego provides them with valuable information. Visualization gives feedback to the respondent, improves data validity and may trigger behavioral change, for instance in vulnerable individuals or groups. Yet, visualization is not a free lunch. Recent research has evidenced the ethical dilemmas of providing such feedback to individuals: ego's social life is being exposed, the researcher may be exposed as well, and such feedback may imply some contractual exchanges or therapeutic implications that require attention.