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The role of weighted and topological network information to understand animal social networks: a null model approach

, , , , , and . Animal Behaviour, (March 2016)
DOI: 10.1016/j.anbehav.2015.12.015

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Generating risk reduction recommendations to decrease vulnerability of public online profiles., , , , and . ASONAM, page 411-416. IEEE Computer Society, (2016)Identifying Similar Neighborhood Structures in Private Social Networks., and . ICDM Workshops, page 507-516. IEEE Computer Society, (2010)Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social Networks., , , and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 1015-1021. Springer, (2008)Understanding Site-Based Inference Potential for Identifying Hidden Attributes., , , , , and . SocialCom, page 570-577. IEEE Computer Society, (2013)Information Exposure From Relational Background Knowledge on Social Media., , and . DSAA, page 282-291. IEEE, (2020)textPrep: A Text Preprocessing Toolkit for Topic Modeling on Social Media Data., and . DATA, page 60-70. SCITEPRESS, (2021)A Robust System Architecture for Mining Semi-Structured Data., , , , and . KDD, page 329-333. AAAI Press, (1998)Visualizing node attribute uncertainty in graphs., , and . Visualization and Data Analysis, volume 7868 of SPIE Proceedings, page 78680H. SPIE, (2011)Understanding evolving group structures in time-varying networks., , , , and . ASONAM, page 142-148. ACM, (2013)Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings., and . WSDM, page 868-876. ACM, (2023)