@InProceedings{murray:2017:NLPandCSS,
  author    = {Murray, Gabriel},
  title     = {Modelling Participation in Small Group Social Sequences with Markov Rewards Analysis},
  booktitle = {Proceedings of the Second Workshop on NLP and Computational Social Science},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {68--72},
  abstract  = {We explore a novel computational approach for analyzing member participation in
	small group social sequences. Using a complex state representation combining
	information about dialogue act types, sentiment expression, and participant
	roles, we explore which sequence states are associated with high levels of
	member participation. Using a Markov Rewards framework, we associate particular
	states with immediate positive and negative rewards, and employ a Value
	Iteration algorithm to calculate the expected value of all states. In our
	findings, we focus on discourse states belonging to team leaders and project
	managers which are either very likely or very unlikely to lead to participation
	from the rest of the group members.},
  url       = {http://www.aclweb.org/anthology/W17-2910}
}