A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Social networks have formed the basis of many studies into large networks analysis. Whilst much is already known regarding efficient algorithms for large networks analysis, data mining, knowledge diffusion, anomaly detection, viral marketing, to mention. More recent research is focussing on new classes of efficient approximate algorithms that can scale to billion nodes and edges. To this end, this paper presents an extension of an algorithm developed originally to analyse large scale-freedoi:10.4225/75/57b55634cd8d6 fatcat:mng7bwydqzgpnbwmb26dkxe7je