The substantial volume, continued growth, and resulting complexity of the scientific literature
not only increases the need for systematic, replicable, and rigorous literature reviews, but …

Abstract Technological Forecasting and Social Change (TFSC) is one of the main outlets in
the literature on technological change. To assist its editors and future contributors in …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

Topic models provide a convenient way to analyze large of unclassified text. A topic contains
a cluster of words that frequently occur together. A topic modeling can connect words with …

Qualitative studies, such as sociological research, opinion analysis and media studies, can
benefit greatly from automated topic mining provided by topic models such as latent Dirichlet …

Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …

Mental models play a crucial role in explaining and driving human innovation activities. To
help researchers clarify the changes of mental models in various innovation situations, an …

Understanding topic evolution in a scientific domain is essential for capturing key domain
developments and facilitating knowledge transfer within and across domains. Using a data …

This paper proposes keyword-citation-keyword (KCK) network to analyze the knowledge
structure of a discipline. Different from traditional co-word network analysis, KCK network …

Identifying the evolution path of a research field is essential to scientific and technological
innovation. There have been many attempts to identify the technology evolution path based …