{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:44:07Z","timestamp":1760240647172,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T00:00:00Z","timestamp":1564358400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-15-CE38-0011","ANR-15-CE38-0001","ANR-16-IDEX-0005"],"award-info":[{"award-number":["ANR-15-CE38-0011","ANR-15-CE38-0001","ANR-16-IDEX-0005"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"publisher","award":["grant agreement No. 772743"],"award-info":[{"award-number":["grant agreement No. 772743"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Twitter may be considered to be a decentralized social information processing platform whose users constantly receive their followees\u2019 information feeds, which they may in turn dispatch to their followers. This decentralization is not devoid of hierarchy and heterogeneity, both in terms of activity and attention. In particular, we appraise the distribution of attention at the collective and individual level, which exhibits the existence of attentional constraints and focus effects. We observe that most users usually concentrate their attention on a limited core of peers and topics, and discuss the relationship between interactional and informational attention processes\u2014all of which, we suggest, may be useful to refine influence models by enabling the consideration of differential attention likelihood depending on users, their activity levels, and peers\u2019 positions.<\/jats:p>","DOI":"10.3390\/info10080250","type":"journal-article","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T11:20:18Z","timestamp":1564399218000},"page":"250","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Interactional and Informational Attention on Twitter"],"prefix":"10.3390","volume":"10","author":[{"given":"Agathe","family":"Baltzer","sequence":"first","affiliation":[{"name":"Univ Lyon, Inria, CNRS, ENS de Lyon, Universit\u00e9 Claude Bernard Lyon 1, LIP UMR 5668, F-69007 Lyon, France"},{"name":"Mines ParisTech, 75006 Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5382-8950","authenticated-orcid":false,"given":"M\u00e1rton","family":"Karsai","sequence":"additional","affiliation":[{"name":"Univ Lyon, Inria, CNRS, ENS de Lyon, Universit\u00e9 Claude Bernard Lyon 1, LIP UMR 5668, F-69007 Lyon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3925-7957","authenticated-orcid":false,"given":"Camille","family":"Roth","sequence":"additional","affiliation":[{"name":"CNRS and Computational Social Science Team, Centre Marc Bloch, UMIFRE CNRS-MAEE 14, Friedrichstrasse 191, D-10117 Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s12110-003-1016-y","article-title":"Social network size in humans","volume":"14","author":"Hill","year":"2003","journal-title":"Hum. 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