activity
20132017
most citedInnovation and Nested Preferential Growth in Chess Playing Behavior

18 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2017★ 2 cited

A short-ranged memory model with preferential growth

Ana L. Schaigorodsky, Juan I. Perotti, Nahuel Almeira +1

In this work we introduce a variant of the Yule-Simon model for preferential growth by incorporating a finite kernel to model the effects of bounded memory. We characterize the pro…

physics.soc-ph2017★ 7 cited

Structure constrained by metadata in networks of chess players

Nahuel Almeira, Ana Laura Schaigorodsky, Juan Ignacio Perotti +1

Chess is an emblematic sport that stands out because of its age, popularity and complexity. It has served to study human behavior from the perspective of a wide number of disciplin…

physics.soc-ph2015★ 8 cited

A study of memory effects in a chess database

Ana L. Schaigorodsky, Juan I. Perotti, Orlando V. Billoni

A series of recent works studying a database of chronologically sorted chess games --containing 1.4 million games played by humans between 1998 and 2007-- have shown that the popul…

physics.soc-ph2013★ 18 cited

Innovation and Nested Preferential Growth in Chess Playing Behavior

Juan I. Perotti, Hang-Hyun Jo, Ana L. Schaigorodsky +1

Complexity develops via the incorporation of innovative properties. Chess is one of the most complex strategy games, where expert contenders exercise decision making by imitating o…

physics.data-an2013★ 15 cited

Memory and long-range correlations in chess games

Ana L. Schaigorodsky, Juan I. Perotti, Orlando V. Billoni

In this paper we report the existence of long-range memory in the opening moves of a chronologically ordered set of chess games using an extensive chess database. We used two mappi…