作者: Grégoire Burel , Yulan He
关键词: Tracking (education) 、 Question answering 、 Computer science 、 Maturity (finance) 、 Process (engineering) 、 Knowledge management 、 Questions and answers 、 Identification (information) 、 Popularity 、 Social Semantic Web
摘要: Online enquiry communities such as Question Answering (Q&A) websites allow people to seek answers all kind of questions. With the growing popularity platforms, it is important for community managers constantly monitor performance their communities. Although different metrics have been proposed tracking evolution communities, maturity, process in which become more topic proficient over time, has largely ignored despite its potential help identifying robust In this paper, we interpret maturity proportion complex questions a at given time. We use Server Fault (SF) community, system administrators, our case study and perform analysis on question complexity, level expertise required answer question. show that complexity depends both length involvement contributions users who post within community. extract features relating askers, answerers, answers, analyse are strongly correlated with complexity. findings highlight difficulty automatically found influenced by topical focus askers. Following identification define measure Our results patterns. Some high beginning while others exhibit slow rate.