15. A method for creating an ordered reading list of pre-determined length of relevant topics from a hyperlinked database source of information website based on a user's input, the method comprising: determining at least one topic of interest; choosing a topic ordering algorithm from a plurality of topic ordering algorithms including a top-down schematic algorithm, a bottom-up schematic algorithm, and a horizontal schematic algorithm, said top-down schematic algorithm comprises a page rank calculation performed by iterating until a convergence, wherein said top-down schematic algorithm is v=αAv+(1−α)*[(βe pers +(1−β)*Σ(e i /N)], wherein v is a vector with a first set of coordinates corresponding to a rank value of an article, A is a Markov matrix of a link graph of said online source of information, e pers is a personalization unit vector with a second set of coordinates that have a uniform nonzero value if said second set of coordinates correspond to a seed topic and have a zero if said second set of coordinates do not correspond to a seed topic, e i is a unit vector along article i, α=d/(1+d) parameterizes mean reachable article a distance d from said seed articles, and β parameterizes a degree of personalization, said bottom-up schematic algorithm comprises a ratio of a combined weight from a plurality of source topics to a plurality of sink topics of an article, and said horizontal schematic algorithm comprises an order parameterization by absolute differences of a log of a plurality of ranks and an absolute difference of a plurality of distances with analogous cutoff methods, wherein said sink topic is where said reading list terminates and said source topic is where said reading list begins; calculating one of a plurality of topics ordering algorithms based on said topic of interest and a user; updating said hyperlinked database source of information; forming a reading list and ranking said reading list based on said topic ordering algorithm; and outputting said ranking and said reading list to an interface depending on an outcome of said topic ordering algorithm.
15. A method for creating an ordered reading list of pre-determined length of relevant topics from a hyperlinked database source of information website based on a user's input, the method comprising: determining at least one topic of interest; choosing a topic ordering algorithm from a plurality of topic ordering algorithms including a top-down schematic algorithm, a bottom-up schematic algorithm, and a horizontal schematic algorithm, said top-down schematic algorithm comprises a page rank calculation performed by iterating until a convergence, wherein said top-down schematic algorithm is v=αAv+(1−α)*[(βe pers +(1−β)*Σ(e i /N)], wherein v is a vector with a first set of coordinates corresponding to a rank value of an article, A is a Markov matrix of a link graph of said online source of information, e pers is a personalization unit vector with a second set of coordinates that have a uniform nonzero value if said second set of coordinates correspond to a seed topic and have a zero if said second set of coordinates do not correspond to a seed topic, e i is a unit vector along article i, α=d/(1+d) parameterizes mean reachable article a distance d from said seed articles, and β parameterizes a degree of personalization, said bottom-up schematic algorithm comprises a ratio of a combined weight from a plurality of source topics to a plurality of sink topics of an article, and said horizontal schematic algorithm comprises an order parameterization by absolute differences of a log of a plurality of ranks and an absolute difference of a plurality of distances with analogous cutoff methods, wherein said sink topic is where said reading list terminates and said source topic is where said reading list begins; calculating one of a plurality of topics ordering algorithms based on said topic of interest and a user; updating said hyperlinked database source of information; forming a reading list and ranking said reading list based on said topic ordering algorithm; and outputting said ranking and said reading list to an interface depending on an outcome of said topic ordering algorithm. 16. The method of claim 15 further comprising outputting a web-based link to correspond with each item on said reading list.