Price's model

Price's model (named after the physicist Derek J. de Solla Price) is a mathematical model for the growth of citation networks. It was the first model which generalized the Simon model to be used for networks, especially for growing networks. Price's model belongs to the broader class of network growing models (together with the highly influential Barabási–Albert model) whose primary target is to explain the origination of networks with strongly skewed degree distributions. The model picked up the ideas of the Simon model reflecting the concept of rich get richer, also known as the Matthew effect. Price took the example of a network of citations between scientific papers and expressed its properties. His idea was that the way how an old vertex (existing paper) gets new edges (new citations) should be proportional to the number of existing edges (existing citations) the vertex already has. This was referred to as cumulative advantage, now also known as preferential attachment. Price's work is also significant in providing the first known example of a scale-free network (although it was named later). His ideas were used to describe many real-world networks such as the Web.

Consider a directed graph with n nodes. Let ${\displaystyle p_{k}}$ denote the fraction of nodes with degree k so that ${\displaystyle \sum _{k}{p_{k}}=1}$. Each new node has a given out-degree (namely those papers it cites) and it is fixed in the long run. This does not mean that the out-degrees can not vary across nodes, simply we assume that the mean out-degree m is fixed over time. It is clear, that ${\displaystyle \sum _{k}{kp_{k}}=m}$, consequently m is not restricted to integers. The most trivial form of preferential attachment means that a new node connects to an existing node proportionally to its in-degrees. In other words, a new paper cites an existing paper in proportional to its in-degrees. The caveat of such idea is that no new paper is cited when it is joined to the network so it is going to have zero probability of being cited in the future (which necessarily is not how it happens). To overcome this, Price proposed that an attachment should be proportional to some ${\displaystyle k+k_{0}}$ with ${\displaystyle k_{0}}$ constant. In general ${\displaystyle k_{0}}$ can be arbitrary, yet Price proposes a ${\displaystyle k_{0}=1}$, in that way an initial citation is associated with the paper itself (so the proportionality factor is now k + 1 instead of k). The probability of a new edge connecting to any node with a degree k is

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