Detecting professional versus personal closeness using an enterprise social network site

In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis suggests that employee behavior on social network sites (SNSs) reveals information about both professional and personal closeness. While some factors are predictive of general closeness (e.g. content recommendations), other factors signal that employees feel personal closeness towards their colleagues, but not professional closeness (e.g. mutual profile commenting). This analysis contributes to our understanding of how SNS behavior reflects relationship multiplexity: the multiple facets of our relationships with SNS connections. Author Keywords Workplace relationships, social media, multiplexity, tie strength, social network sites, organizations. ACM Classification Keywords H5.3. Group and Organization Interfaces: Computersupported cooperative work; Web-based interaction. General Terms Human Factors

• Type: Conference
• Year: 2010
• Where: CHI
• Authors: Anna Wu, Joan Morris DiMicco, David R. Millen
• Keywords: CHI 2010, Human Computer Interaction, Patterns Signal Closeness, Personal Closeness, Social Network Sites