The work at RAPRA has shown that it is perfectly possible to mix 1 g batches of compound and obtain a variety of physical measurements on the products. This especially of value when only a small amount of the polymer is available as in studies on experimental materials, where the polymer itself is costly, or where it is required to investigate the effect of costly additives. For a number of years, work of this nature has been continued in the authors' laboratories, continually perfecting the apparatus and techniques, and the results quoted above are typical of those obtained on a range of experimental polymers and additives.

This paper maps discourse communities created by Russian extremists on Telegram. It assesses the extent to which discourse communities created by extremists identified through qualitative analysis in prior research are still present in a novel Telegram dataset and can be identified through Latent Dirichlet Allocation topic modeling and network analysis. It then compares the results of Louvian and Girvan-Newman network community detection methods and the topics assigned to each community to see if the underlying structure of association between topics is robust to the use of different methods for community detection. This work contributes to an understanding of how extremist groups operate online.

This paper maps discourse communities created by Russian extremists on Telegram. It assesses the extent to which discourse communities created by extremists identified through qualitative analysis in prior research are still present in a novel Telegram dataset and can be identified through Latent Dirichlet Allocation topic modeling and network analysis. It then compares the results of Louvian and Girvan-Newman network community detection methods and the topics assigned to each community to see if the underlying structure of association between topics is robust to the use of different methods for community detection. This work contributes to an understanding of how extremist groups operate online.