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Discussion Networks and Resilience of College Students: Explicating Tie Strength in Communicative Interaction
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In: International Journal of Communication; Vol 16 (2022); 25 ; 1932-8036 (2022)
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English-Learning Motivation among Chinese Mature Learners: A Comparative Study of English and Non-English Majors
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In: Behavioral Sciences; Volume 12; Issue 5; Pages: 135 (2022)
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Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
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Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
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In: 46 ; Digitale Gesellschaft ; 327 (2022)
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El 14F a Instagram : una proposta d'articulació de tècniques de raspat web i anàlisi de xarxes
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What are they gabbin about?: A relational realist approach to small stories (re)told on Gab
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Creating Biographical Networks from Chinese and English Wikipedia
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In: https://halshs.archives-ouvertes.fr/halshs-03217972 ; 2021 (2021)
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William L. Garrison, 1960, Connectivity of the Interstate Highway System.Version bilingue et commentée
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In: https://hal.archives-ouvertes.fr/hal-03149573 ; 2021 (2021)
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Alfonso Shimbel, 1951, Applications of Matrix Algebra to Communication Nets. Version bilingue et commentée
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In: https://hal.archives-ouvertes.fr/hal-03187071 ; 2021 (2021)
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Alfonso Shimbel, 1953, Structural Parameters of Communication Networks. Version bilingue et commentée
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In: https://hal.archives-ouvertes.fr/hal-03192767 ; 2021 (2021)
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Dataset of coronavirus content from Instagram with an exploratory analysis
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559489 ; IEEE Access, IEEE, 2021, 9, pp.157192-157202. ⟨10.1109/ACCESS.2021.3126552⟩ (2021)
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Abstract:
International audience ; The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professionals’ engagement in social media. Online Social Networks are playing an important role in news propagation as well as keeping people in contact. At the same time, social media is both a blessing and a curse as the coronavirus infodemic has become a major concern, and is already a topic that needs special attention and further research. In this study, we publish a multilingual coronavirus (COVID-19) Instagram dataset that we have continuously collected during the first wave of the pandemic from 5 January 2020 to 30 May 2020. The dataset contains 25.7K posts, 829K comments, and 3.2M likes in various subjects from different publishers such as ‘public accounts’, ‘fake accounts (bots)’, ‘newsagencies’, ‘influencers’, ‘celebrities’, ‘business pages’, etc. In addition to the dataset, this paper provides an analysis of the behaviour of the publishers. We study the behavioural aspects of the users in terms of their engagement, use of hashtags, activities, reactions as well as a full analysis of the published content related to the COVID-19. We believe this contribution helps the research community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Bot; Coronavirus; COVID-19; Dataset; Fake content; Instagram; Social network analysis
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URL: https://hal.archives-ouvertes.fr/hal-03559489 https://doi.org/10.1109/ACCESS.2021.3126552
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Dentro la rete degli apprendenti. Un’applicazione della social network analysis ai MOOC linguistici ...
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I Explain, You Collaborate, He Cheats: An Empirical Study with Social Network Analysis of Study Groups in a Computer Programming Subject
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In: Applied Sciences ; Volume 11 ; Issue 19 (2021)
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From Disruption to Dialog: Days of Judaism on Polish Twitter
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In: Religions ; Volume 12 ; Issue 10 (2021)
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Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media
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In: ISPRS International Journal of Geo-Information ; Volume 10 ; Issue 9 (2021)
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Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic
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In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
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A Framework to Understand Attitudes towards Immigration through Twitter
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In: Applied Sciences ; Volume 11 ; Issue 20 (2021)
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Analyzing User Digital Emotions from a Holy versus Non-Pilgrimage City in Saudi Arabia on Twitter Platform
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In: Applied Sciences ; Volume 11 ; Issue 15 (2021)
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Temporal Social Network Analysis using Harvard Caselaw Access Project
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