Four graphs for personalized study planning constitute the personalized study planning framework, namely, a graph representing a conceptual structure of study program; a graph representing study course; a graph visualizing each topic of study course using concept map; a graph representing learning objects. This paper deals with the third graph - a graph displaying study course topic structure and knowledge assessment. Authors describe concept map based knowledge evaluation system integration possibilities with personalized study planning prototype and usage in personal study planning. In order to perform the structure analysis of the concept maps authors propose to use of the methods of structure analysis to calculate the ranks for the nodes of the graphs thus detecting the most significant nodes in the graph structure. The calculation of ranks for the graph nodes allows detecting the most essential concepts in the concept map.