Publications

Book Chapter

Stacey, P. K., Kershaw, D., Puntambekar, N., Egginton Draysey, E. C., Giering, G., Anastasiou, Z., … Mehlem, J. (2017). Managing big data analytics projects (1st ed.). Achamore Books. Retrieved from https://dspace.lboro.ac.uk/2134/24465

Conferance Proceedings

Kershaw, D., Rowe, M., Noulas, A., & Stacey, P. (2017). Birds of a feather talk together : user influence on language adoption. In HICSS ’17: Proceedings of the 50th Hawaii International Conference on System Sciences (pp. 1851–1860). https://doi.org/10125/41379

Knoth, P., Kershaw, D., Pettit, B., Jack, K., Rossetti, M., Vargas, S., & Hristakeva, M. (2017). Building recommender systems for scholarly information. In 1st Workshop on Scholarly Web Mining (SWM 2017), WSDM2017. Cambridge, UK. https://doi.org/10.1145/3057148.3057152

Rossetti, M., Vargas, S., Magatti, D., Pettit, B., Kershaw, D., Hristakeva, M., & Jack, K. (2017). Effectively identifying users’ research interests for scholarly reference management and discovery. In 1st Workshop on Scholarly Web Mining (SWM 2017), WSDM2017. https://doi.org/10.1145/3057148.3057151

Kershaw, D., Rowe, M., & Stacey, P. (2016). Towards modeling language innovation acceptance in online social networks. In WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining (pp. 553–562). https://doi.org/10.1145/2835776.2835784

Kershaw, D., Rowe, M., & Stacey, P. (2015). Language innovation and change in on-line social networks. In HT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media (pp. 311–314). https://doi.org/10.1145/2700171.2804449

Gazzard, A., Lochrie, M., Gradinar, A., Coulton, P., Burnett, D., & Kershaw, D. (2014). From the board to the streets: a case study of Local Property Trader. Transactions of the Digital Games Research Association (ToDIGRA), 1(3). Retrieved from papers3://publication/uuid/8207BEF9-6487-439C-9A6E-CCDADB866E82

Kershaw, D., Rowe, M., & Stacey, P. (2014). Towards tracking and analyzing regional alcohol consumption patterns in the UK through the use of social media. In WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference (pp. 220–228). https://doi.org/10.1145/2615569.2615678


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