Social activity versus academic activity: a case study of computer scientists on Twitter

作者: Elisabeth Lex , Robert Jäschke , Subhash Chandra Pujari , Asmelash Teka Hadgu

DOI: 10.1145/2809563.2809584

关键词:

摘要: In this work, we study social and academic network activities of researchers from Computer Science. Using a recently proposed framework, map the to their Twitter accounts link them publications. This enables us create two types networks: first, networks that reflect on Twitter, namely researchers' follow, retweet mention second, activities, is co-authorship citation networks. Based these datasets, (i) compare with (ii) investigate consistency similarity communities within activity networks, (iii) information flow between different areas Science in both Our findings show if co-authors interact relationship reciprocal, increasing numbers papers they co-authored. general, are not correlated. terms community analysis, found three most consistent each other, highest network. A revealed follow network, Data Management, Human-Computer Interaction, Artificial Intelligence act as source for other

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