{ "id": "1703.05943", "version": "v1", "published": "2017-03-17T09:53:35.000Z", "updated": "2017-03-17T09:53:35.000Z", "title": "The dynamics of power laws: Fitness and aging in preferential attachment trees", "authors": [ "Alessandro Garavaglia", "Remco van der Hofstad", "Gerhard Woeginger" ], "comment": "41 pages, 10 figures", "categories": [ "math.PR" ], "abstract": "Continuous-time branching processes describe the evolution of a population whose individuals generate a random number of children according to a birth process. Such branching processes can be used to understand preferential attachment models in which the birth rates are linear functions. We are motivated by citation networks, where power-law citation counts are observed as well as aging in the citation patterns. To model this, we introduce fitness and age-dependence in these birth processes. The multiplicative fitness moderates the rate at which children are born, while the aging is integrable, so that individuals receives a finite number of children in their lifetime. We show the existence of a limiting degree distribution for such processes. In the preferential attachment case, where fitness and aging are absent, this limiting degree distribution is known to have power-law tails. We show that the limiting degree distribution has exponential tails for bounded fitnesses in the presence of integrable aging, while the power-law tail is restored when integrable aging is combined with fitness with unbounded support with at most exponential tails. In the absence of integrable aging, such processes are explosive.", "revisions": [ { "version": "v1", "updated": "2017-03-17T09:53:35.000Z" } ], "analyses": { "keywords": [ "preferential attachment trees", "limiting degree distribution", "power laws", "power-law tail", "exponential tails" ], "note": { "typesetting": "TeX", "pages": 41, "language": "en", "license": "arXiv", "status": "editable" } } }