%0 Journal Article %1 WOS:000321738400020 %A Gallos, Lazaros K %A Potiguar, Fabricio Q %A Jr., Jose S Andrade %A Makse, Hernan A %C 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA %D 2013 %I PUBLIC LIBRARY SCIENCE %J PLOS ONE %K imported %N 6 %R 10.1371/journal.pone.0066443 %T IMDB Network Revisited: Unveiling Fractal and Modular Properties from a Typical Small-World Network %V 8 %X We study a subset of the movie collaboration network, http://www.imdb.com, where only adult movies are included. We show that there are many benefits in using such a network, which can serve as a prototype for studying social interactions. We find that the strength of links, i.e., how many times two actors have collaborated with each other, is an important factor that can significantly influence the network topology. We see that when we link all actors in the same movie with each other, the network becomes small-world, lacking a proper modular structure. On the other hand, by imposing a threshold on the minimum number of links two actors should have to be in our studied subset, the network topology becomes naturally fractal. This occurs due to a large number of meaningless links, namely, links connecting actors that did not actually interact. We focus our analysis on the fractal and modular properties of this resulting network, and show that the renormalization group analysis can characterize the self-similar structure of these networks.

@article{WOS:000321738400020, abstract = {We study a subset of the movie collaboration network, http://www.imdb.com, where only adult movies are included. We show that there are many benefits in using such a network, which can serve as a prototype for studying social interactions. We find that the strength of links, i.e., how many times two actors have collaborated with each other, is an important factor that can significantly influence the network topology. We see that when we link all actors in the same movie with each other, the network becomes small-world, lacking a proper modular structure. On the other hand, by imposing a threshold on the minimum number of links two actors should have to be in our studied subset, the network topology becomes naturally fractal. This occurs due to a large number of meaningless links, namely, links connecting actors that did not actually interact. We focus our analysis on the fractal and modular properties of this resulting network, and show that the renormalization group analysis can characterize the self-similar structure of these networks.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA}, author = {Gallos, Lazaros K and Potiguar, Fabricio Q and Jr., Jose S Andrade and Makse, Hernan A}, biburl = {https://www.bibsonomy.org/bibtex/2f98c10eec9de7198bfd393d41d278c9d/ppgfis_ufc_br}, doi = {10.1371/journal.pone.0066443}, interhash = {66c9d86471439e7255b5db3c1b442bef}, intrahash = {f98c10eec9de7198bfd393d41d278c9d}, issn = {1932-6203}, journal = {PLOS ONE}, keywords = {imported}, number = 6, publisher = {PUBLIC LIBRARY SCIENCE}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {IMDB Network Revisited: Unveiling Fractal and Modular Properties from a Typical Small-World Network}, tppubtype = {article}, volume = 8, year = 2013 }