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163 results on '"Croitoru, Arie"'

1. Geoinformatics and Social Media

Author

Croitoru, Arie, primary, Crooks, Andrew, additional, Radzikowski, Jacek, additional, Stefanidis, Anthony, additional, Vatsavai, Ranga R., additional, and Wayant, Nicole, additional

Published
2024
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4. Beyond Words: Comparing Structure, Emoji Use, and Consistency Across Social Media Posts

Author

Swartz, Melanie, Crooks, Andrew, Croitoru, Arie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Thomson, Robert, editor, Bisgin, Halil, editor, Dancy, Christopher, editor, Hyder, Ayaz, editor, and Hussain, Muhammad, editor

Published
2020
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8. Predicting the Evolution of Narratives in Social Media

Author

Schmid, Klaus Arthur, Züfle, Andreas, Pfoser, Dieter, Crooks, Andrew, Croitoru, Arie, Stefanidis, Anthony, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gertz, Michael, editor, Renz, Matthias, editor, Zhou, Xiaofang, editor, Hoel, Erik, editor, Ku, Wei-Shinn, editor, Voisard, Agnes, editor, Zhang, Chengyang, editor, Chen, Haiquan, editor, Tang, Liang, editor, Huang, Yan, editor, Lu, Chang-Tien, editor, and Ravada, Siva, editor

Published
2017
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13. Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs

Author

Fu, Dongqi, Zhou, Dawei, Maciejewski, Ross, Croitoru, Arie, Boyd, Marcus, He, Jingrui, Fu, Dongqi, Zhou, Dawei, Maciejewski, Ross, Croitoru, Arie, Boyd, Marcus, and He, Jingrui

Abstract

With the widespread development of algorithmic fairness, there has been a surge of research interest that aims to generalize the fairness notions from the attributed data to the relational data (graphs). The vast majority of existing work considers the fairness measure in terms of the low-order connectivity patterns (e.g., edges), while overlooking the higher-order patterns (e.g., k-cliques) and the dynamic nature of real-world graphs. For example, preserving triangles from graph cuts during clustering is the key to detecting compact communities; however, if the clustering algorithm only pays attention to triangle-based compactness, then the returned communities lose the fairness guarantee for each group in the graph. Furthermore, in practice, when the graph (e.g., social networks) topology constantly changes over time, one natural question is how can we ensure the compactness and demographic parity at each timestamp efficiently. To address these problems, we start from the static setting and propose a spectral method that preserves clique connections and incorporates demographic fairness constraints in returned clusters at the same time. To make this static method fit for the dynamic setting, we propose two core techniques, Laplacian Update via Edge Filtering and Searching and Eigen-Pairs Update with Singularity Avoided. Finally, all proposed components are combined into an end-to-end clustering framework named F-SEGA, and we conduct extensive experiments to demonstrate the effectiveness, efficiency, and robustness of F-SEGA.

Published
2023

19. Connecting the Dots: Constructing Spatiotemporal Episodes from Events Schemas

Author

Croitoru, Arie, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gavrilova, Marina L., editor, and Tan, C. J. Kenneth, editor

Published
2009
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20. Feature Integration for Geospatial Information: A Review and Outlook

Author

Agouris, Peggy, Croitoru, Arie, Stefanidis, Anthony, Sharda, Ramesh, editor, Voß, Stefan, editor, Chen, Hsinchun, editor, Brandt, Lawrence, editor, Gregg, Valerie, editor, Traunmüller, Roland, editor, Dawes, Sharon, editor, Hovy, Eduard, editor, Macintosh, Ann, editor, and Larson, Catherine A., editor

Published
2008
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21. Deriving and Mining Spatiotemporal Event Schemas in In-Situ Sensor Data

Author

Croitoru, Arie, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Laganà, Antonio, editor, Taniar, David, editor, Mun, Youngsong, editor, and Gavrilova, Marina L., editor

Published
2008
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26. COLLABORATIVE: Faculty Affairs: Documenting Your Teaching for Promotion & Tenure (90 mins)

Author

Eby, Kim, Croitoru, Arie, Lopez Bunyasi, Tehama, Aidoo, Abena, and Middle, Beverly

Abstract

Participants will leave the session with concrete ideas and examples for materials that might be included in their dossiers as part of the reappointment, renewal, promotion, and/or tenure processes., Innovations in Teaching & Learning Conference Proceedings, Vol. 13 (2021): Fostering Inclusive Excellence

Published
2021
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28. Demarcating new boundaries: mapping virtual polycentric communities through social media content

Author

Stefanidis, Anthony, Cotnoir, Amy, Croitoru, Arie, Crooks, Andrew, Rice, Matthew, and Radzikowski, Jacek

Subjects
Sovereignty -- Analysis, Social media -- Analysis, User groups -- Analysis, Social networks -- Analysis, User group, Geography, Twitter (Online social network)
Abstract

The proliferation of social media has led to the emergence of a new type of geospatial information that defies the conventions of authoritative or volunteered geographic information, yet can be harvested to reveal unique and dynamic information about people and their activities. In this paper we address the identification and mapping of global virtual communities formed around issues of specific national interest. We refer to these connected virtual communities formed around issues related to a specific state as the polycentric virtual equivalent of that state. Identifying, mapping, and analyzing these virtual communities is a novel challenge for our community, and this is the subject we pursue in this paper. We present these communities relative to established conventions of statehood, address the harvesting of relevant geographical information from social media feeds, and discuss the challenge of visualizing such information. In order to do so we use the current geopolitical situation in Syria as a demonstrative example. Keywords: social media; Twitter; community detection; community mapping; statehood; Syria, 1. Introduction By substituting physical with virtual interaction, social media have introduced a novel avenue for community building, transcending established administrative boundaries (Quercia, Capra, and Crowcrofi 2012; Takhteyev, Gruzd, and [...]

Published
2013
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29. The Evolving GeoWeb

Author

Crooks, Andrew, primary, Hudson-Smith, Andrew, additional, Croitoru, Arie, additional, and Stefanidis, Anthony, additional

Published
2014
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36. Responses to mass shooting events

Author

Croitoru, Arie, primary, Kien, Sara, additional, Mahabir, Ron, additional, Radzikowski, Jacek, additional, Crooks, Andrew, additional, Schuchard, Ross, additional, Begay, Tatyanna, additional, Lee, Ashley, additional, Bettios, Alex, additional, and Stefanidis, Anthony, additional

Published
2020
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38. Geoswift

Author

Liang, Steve, primary, Moin Haider, Zia, additional, Tao, Vincent, additional, Wang, Chris, additional, and Croitoru, Arie, additional

Published
2004
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42. Detecting and mapping slums using open data: a case study in Kenya.

Author

Mahabir, Ron, Agouris, Peggy, Stefanidis, Anthony, Croitoru, Arie, and Crooks, Andrew T.

Subjects
SLUMS, DATA mining, MULTISENSOR data fusion, REMOTE sensing, CASE studies
Abstract

The worldwide slum population currently stands at over one billion, with substantial growth expected in the coming decades. Traditionally, slums have been mapped using information derived mainly from either physical indicators using remote sensing data, or socio-economic indicators using census data. Each data source on its own provides only a partial view of slums, an issue further compounded by data poverty in less-developed countries. To overcome such issues, this paper explores the fusion of traditional with emerging open data sources and data mining tools to identify additional indicators that can be used to detect and map the presence of slums, map their footprint, and map their evolution. Towards this goal, we develop an indicator database for slums using open sources of physical and socio-economic data that can be used to characterize slum settlements. Using this database, we then leverage data mining techniques to identify the most suitable combination of these indicators for mapping slums. Using three cities in Kenya as test cases, results show that the fusion of these data can improve the mapping accuracy of slums. These results suggest that the proposed approach can provide a viable solution to the emerging challenge of monitoring the growth of slums. [ABSTRACT FROM AUTHOR]

Published
2020
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