Model of Cytation Network Analysis using Sequence of Words as Structured Text Representation

Citation in research activity is crucial. Various of journal publication media are available as a forum for publication and a source of research reference. In this study, we propose an analytical model for cytation networks in journal publications using a network of sciences. In addition, our cited network analysis model contains a structured text representation with Sequence of Words (SOW) form in the pre-process stage. The algorithm which is used to produce text representation in this research is the algorithm that corresponds to the generated SOW form, such as sequential or frequent pattern algorithm. The conceptual validation of the cytation network model in this study was carried out at the Department of Informatics Engineering, UIN Sunan Gunung Djati Bandung. By using Focus Group Discussion (FGD) as a conceptual validation, the cited network analysis model in this study is ready and possible to implement easily because it is described in general concept