Hi Myself Chinmaya Poswalia Computer Science an Engineering B.Tech, Indian Institute of Technology, Guwahati I am finding all the graph topic(my favorite topic to work on) very interesting that's why i asked a lot of questions regarding all in one mail. - i want to work on semantic graph - how about maintaining an adjacency list, denote V as nodes and E as edges, so the space complexity will be O(V+E). - Also we can employ pointers of type void* to point to edges/vertices of different types so as to maintain the graph of different edge and vertex types. - rather than employing a vector in each node and edge either we should allocate space during insertion or we maintain the size of vector array by ourself. - Through generic programming, all the operations being implemented on graph up till now will be made applicable on these new members of the library. - various functions that can be induced on these graphs are 1. Distribution of node degree 2. finding clustering co-efficient of semantic graph 3. relevance of a link and node 4. scale on semantic graph 5. disparity of connected types/dispersion co-efficient. - Semantic graph are generating huge level of importance in networking (network semantics on web), video screening, statistical analysis of data,etc so it will be a great thing to work on it. Can you suggest some more links to read on for these I am working on my proposal about the graph and your help is crucial for me. With regards Chinmaya