andreatagarelli / lurkerrank

Methods for identifying and ranking lurkers in an online social network

lurkerrank

Copyright 2015-2021 Andrea Tagarelli, DIMES Dept., University of Calabria, Italy

LurkerRank is a Python software for identifying and ranking lurkers in a social graph. The software contains an implementation of six lurker-ranking methods, which were originally defined and described in the peer-reviewed scientific publications reported below.

TERMS OF USAGE: The following papers should be cited in any research product whose findings are based on the code here distributed:

• Andrea Tagarelli, Roberto Interdonato.
  Lurking in social networks: topology-based analysis and ranking methods.
  Social Netw. Analys. Mining 4(1): 230, 2014.
  
• Andrea Tagarelli, Roberto Interdonato.
  "Who's out there?": identifying and ranking lurkers in social networks.
  In Proc. IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pp. 215-222, 2013.
• Andrea Tagarelli, Roberto Interdonato.
  Time-aware analysis and ranking of lurkers in social networks.
  Social Netw. Analys. Mining 5(1): 46:1-46:23 (2015).