A Genetic Algorithm to Optimize a Tweet for Retweetability
Abstract
Twitter is a popular microblogging platform. When users send out messages, other users have the ability to forward these messages to their own subgraph. Most research focuses on increasing retweetability from a node's perspective. Here, we center on improving message style to increase the chance of a message being forwarded. To this end, we simulate an artificial Twitter-like network with nodes deciding deterministically on retweeting a message or not. A genetic algorithm is used to optimize message composition, so that the reach of a message is increased. When analyzing the algorithm's runtime behavior across a set of different node types, we find that the algorithm consistently succeeds in significantly improving the retweetability of a message.
Cite
@article{arxiv.1401.4857,
title = {A Genetic Algorithm to Optimize a Tweet for Retweetability},
author = {Ronald Hochreiter and Christoph Waldhauser},
journal= {arXiv preprint arXiv:1401.4857},
year = {2014}
}