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A Novel Hierarchical Community Paradigm for Online Social Network Division from the Perspective of Information Ecosystem

https://doi.org/10.2139/ssrn.4792907
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Identifying Opinion Leaders from Online Comments
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Identifying opinion leader nodes in online social networks with a new closeness evaluation algorithm
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Information ecology research: past, present, and future
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Centrality in social networks conceptual clarification
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Graph neural networks: A review of methods and applications
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Does micro-blogging make us “shallow”? Sharing information online interferes with information comprehension
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Reading others’ comments and public opinion poll results on social media: Social judgment and spiral of empowerment
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Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China
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Opinion leader detection: A methodological review
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RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation
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Influence of content and creator characteristics on sharing disaster-related information on social media
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Local community detection by the nearest nodes with greater centrality
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Information cocoons in online navigation
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Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings
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Recognition of opinion leaders coalitions in online social network using game theory
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Identification and simulation of key influencing factors of online health information service quality from the perspective of information ecology
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Unsupervised learning for community detection in attributed networks based on graph convolutional network
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Community detection with the Label Propagation Algorithm: A survey
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Community detection in networks: A user guide
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Spiral of silence online: How online communication affects opinion climate perception and opinion expression regarding the climate change debate
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Research on opinion polarization by big data analytics capabilities in online social networks
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The COVID-19 social media infodemic
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Anatomy of news consumption on Facebook
inferredcites →https://doi.org/10.1073/pnas.2023301118openalex-extracted
The echo chamber effect on social media
inferredcites →https://doi.org/10.1086/421787openalex-extracted
Structural Holes and Good Ideas
inferredcites →https://doi.org/10.1086/590674openalex-extracted
Dynamics of Networks if Everyone Strives for Structural Holes
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-extracted
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1093/jcmc/zmab021openalex-extracted
Social Media Public Opinion as Flocks in a Murmuration: Conceptualizing and Measuring Opinion Expression on Social Media
inferredcites →https://doi.org/10.1108/oir-03-2011-0182openalex-extracted
Network analysis of user generated content quality in Wikipedia
inferredcites →https://doi.org/10.1108/oir-12-2015-0391openalex-extracted
Computational modeling of Weibo user influence based on information interactive network
inferredcites →https://doi.org/10.1109/cac.2013.6775766openalex-extracted
BBS opinion leader mining based on an improved PageRank algorithm using MapReduce
inferredcites →https://doi.org/10.1109/iccsnt.2011.6182424openalex-extracted
Comparision of microblogging service between Sina Weibo and Twitter
inferredcites →https://doi.org/10.1109/taffc.2019.2932061openalex-extracted
A Novel Sentiment Polarity Detection Framework for Chinese
inferredcites →https://doi.org/10.1111/1467-9760.00148openalex-extracted
The Law of Group Polarization
inferredcites →https://doi.org/10.1111/j.1460-2466.2010.01497.xopenalex-extracted
Polarization and Partisan Selective Exposure
inferredcites →https://doi.org/10.1126/sciadv.1602548openalex-extracted
The ground truth about metadata and community detection in networks
inferredcites →https://doi.org/10.1126/science.aaa1160openalex-extracted
Exposure to ideologically diverse news and opinion on Facebook
inferredcites →https://doi.org/10.1137/1.9781611972795.51openalex-extracted
Mining Cohesive Patterns from Graphs with Feature Vectors
inferredcites →https://doi.org/10.1145/1321440.1321588openalex-extracted
Identifying opinion leaders in the blogosphere
inferredcites →https://doi.org/10.1145/2488388.2488461openalex-extracted
Mining structural hole spanners through information diffusion in social networks
inferredcites →https://doi.org/10.1145/3385415openalex-extracted
Network Embedding for Community Detection in Attributed Networks
inferredcites →https://doi.org/10.1146/annurev-psych-113011-143828openalex-extracted
Social Network Analysis: Foundations and Frontiers on Advantage
inferredcites →https://doi.org/10.1177/0885412221999415openalex-extracted
Exploring Network Measures of Social Capital: Toward More Relational Measurement
inferredcites →https://doi.org/10.1177/0894439318791527openalex-extracted
Journalists’ Use of Social Media to Infer Public Opinion: The Citizens’ Perspective
inferredcites →https://doi.org/10.1177/0956797615594620openalex-extracted
Tweeting From Left to Right
inferredcites →https://doi.org/10.1177/1326365x14539185openalex-extracted
‘Echo Chambers’
inferredcites →https://doi.org/10.1371/journal.pone.0021202openalex-extracted
Leaders in Social Networks, the Delicious Case
inferredcites →https://doi.org/10.1371/journal.pone.0169355openalex-extracted
Locating Structural Centers: A Density-Based Clustering Method for Community Detection
inferredcites →https://doi.org/10.1609/aaai.v32i1.11604openalex-extracted
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301152openalex-extracted
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
inferredcites →https://doi.org/10.1609/aimag.v29i3.2157openalex-extracted
Collective Classification in Network Data
inferredcites →https://doi.org/10.17705/1jais.00612openalex-extracted
The Dynamic Effects of Perceptions of Dread Risk and Unknown Risk on SNS Sharing Behavior During Emerging Infectious Disease Events: Do Crisis Stages Matter?
inferredcites →https://doi.org/10.2139/ssrn.2795110openalex-extracted
Echo Chambers on Facebook
inferredcites →https://doi.org/10.2307/2393644openalex-extracted
Structural Holes: The Social Structure of Competition.
inferredcites →https://doi.org/10.2307/3708755openalex-extracted
Personal Influence: The Part Played by People in the Flow of Mass Communications
inferredcites →https://doi.org/10.3389/fpsyg.2022.1055798openalex-extracted
Research on the formation mechanism of information cocoon and individual differences among researchers based on information ecology theory
inferredcites →https://doi.org/10.3390/ijerph17082788openalex-extracted
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China
inferredcites →https://doi.org/10.4337/9781789909432.00030openalex-extracted
Structural holes and good ideas
inferredcites →https://doi.org/10.48550/arxiv.2011.07190openalex-extracted
Centrality Measures in Complex Networks: A Survey
inferredcites →https://doi.org/10.48550/arxiv.2310.11161openalex-extracted
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings
inferredcites →https://doi.org/10.5555/944919.944937openalex-extracted
Latent dirichlet allocation
inferredcites →https://doi.org/10.5555/944919.944950openalex-extracted
Learning probabilistic models of link structure
inferredcites →https://doi.org/10.5860/choice.50-6804openalex-extracted
Big data: a revolution that will transform how we live, work, and think
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