Today, a range of research approaches is used to define the so-called influencers in discussions in social media, and one can trace both conceptual and methodological differences in how influencers are defined and tracked. We distinguish between ‘marketing’ and ‘deliberative’ conceptualization of influencers and between metrics based on absolute figures and those from social network analytics; combining them leads to better understanding of user activity and connectivity measures in defining influential users. We add to the existing research by asking whether user activity necessarily leads to better connectivity and by what metrics in online ad hoc discussions, and try to compare the structure of influencers. To do this, we use comparable outbursts of discussions on inter-ethnic conflicts related to immigration. We collect Twitter data on violent conflicts between host and re-settled groups in Russia and Germany and look at top20 user lists by eight parameters of activity and connectivity to assess the structure of influencers in terms of pro/contra-migrant cleavages and institutional belonging. Our results show that, in both discussions, the number of users involved matters most for becoming an influencer by betweenness and pagerank centralities. Also, contrary to expectations, Russian top users all in all are, in general, more neutral, while Germans are more divided, but in both countries pro-migrant media oppose anti-migrant informal leaders.

Original languageEnglish
Title of host publicationSocial Informatics - 9th International Conference, SocInfo 2017, Proceedings
EditorsGiovanni Luca Ciampaglia, Taha Yasseri, Afra Mashhadi
PublisherSpringer Nature
Pages360-376
Number of pages17
ISBN (Print)9783319672168
DOIs
StatePublished - 2017
Event9th International Conference on Social Informatics, SocInfo 2017 - Oxford, United Kingdom
Duration: 13 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10539 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Social Informatics, SocInfo 2017
Country/TerritoryUnited Kingdom
CityOxford
Period13/09/1715/09/17

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Germany, Influencers, Inter-ethnic conflict, Russia, Twitter, Web crawling

ID: 9215551