The rapid development of Community Question Answering (CQA) satisfies users' quest for
professional and personal knowledge about anything. In CQA, one central issue is to find …

Topic modeling is a Natural Language Processing technique that has gained popularity over
the last ten years, with applications in multiple fields of knowledge. However, there is …

Topic modelling is a powerful text mining tool that has been applied in many fields such as
software engineering, political and linguistic sciences. To evaluate the development of topic …

Abstract Community Question Answering is one of the valuable information resources which
provide users with a platform to share their knowledge. Finding potential experts in CQA is …

The user participatory nature of the social web has revolutionized the use of the
conventional web. The social web is an integral part of our daily life. Due to the resulting …

Online bibliographic databases are powerful resources for research in data mining and
social network analysis especially co-author networks. Predicting future rising stars is to find …

Expert finding is an important research field in community question answering (CQA).
Traditional expert finding methods mainly exploit topic analysis and authority calculation …

Abstract In Community Question Answering (CQA) websites, expert finding aims to seek
relevant experts for answering questions. The core of expert finding is to match candidate …

Purpose This study reviews the methods found in the literature for the ranking of authors,
identifies the pros and cons of these methods, discusses and compares these methods. The …

Currently, many software companies are looking to assemble a team of experts who can
collaboratively carry out an assigned project in an agile manner. The most ideal members …