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- ArticleJuly 2024
Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications
- Lijing Luo,
- Sergey Kovalchuk,
- Valeria Krzhizhanovskaya,
- Maciej Paszynski,
- Clélia de Mulatier,
- Jack Dongarra,
- Peter M. A. Sloot
AbstractWe analyze 7826 publications from the International Conference on Computational Science (ICCS) between 2001 and 2023 using natural language processing and network analysis. We categorize computer science into 13 main disciplines and 102 sub-...
Automating the Information Extraction from Semi-Structured Interview Transcripts
WWW '24: Companion Proceedings of the ACM Web Conference 2024May 2024, Pages 983–986https://doi.org/10.1145/3589335.3651230This paper explores the development and application of an automated system designed to extract information from semi-structured interview transcripts. Given the labor-intensive nature of traditional qualitative analysis methods, such as coding, there ...
- research-articleMay 2024
Local Centrality Minimization with Quality Guarantees
WWW '24: Proceedings of the ACM Web Conference 2024May 2024, Pages 410–421https://doi.org/10.1145/3589334.3645382Centrality measures, quantifying the importance of vertices or edges, play a fundamental role in network analysis. To date, triggered by some positive approximability results, a large body of work has been devoted to studying centrality maximization, ...
- research-articleApril 2024
Narrative Characteristics in Refugee Discourse: An Analysis of American Public Opinion on the Afghan Refugee Crisis After the Taliban Takeover
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 8, Issue CSCW1Article No.: 212, Pages 1–31https://doi.org/10.1145/3653703The United States (U.S.) military withdrawal from Afghanistan in August 2021 was met with turmoil as the Taliban regained control of most of the country, including Kabul. These events have affected many and were widely discussed on social media, ...
- research-articleApril 2024
Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 8, Issue CSCW1Article No.: 36, Pages 1–22https://doi.org/10.1145/3637313Network Analysis has traditionally been applied to analyzing interactions among learners in online learning platforms such as discussion boards. However, there are opportunities to bring Network Analysis to bear on networks representing learners' mental ...
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- short-paperMarch 2024
Temporal Graph Analysis with TGX
WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data MiningMarch 2024, Pages 1086–1089https://doi.org/10.1145/3616855.3635694Real-world networks, with their evolving relations, are best captured as temporal graphs. However, existing software libraries are largely designed for static graphs where the dynamic nature of temporal graphs is ignored. Bridging this gap, we introduce ...
- research-articleDecember 2023
Recruitment Promotion via Twitter: A Network-centric Approach of Analyzing Community Engagement Using Social Identity
Digital Government: Research and Practice (DGOV), Volume 4, Issue 4Article No.: 22, Pages 1–17https://doi.org/10.1145/3617127With the proliferation of online technologies, social media recruitment has become an essential part of any company’s outreach campaign. A social media platform can provide marketing posts with access to a large pool of candidates and at a low cost. It ...
- research-articleDecember 2023
Exploring the New Frontier: Decentralized Financial Services
Service Science (INFORMS-SS), Volume 15, Issue 4December 2023, Pages 266–282https://doi.org/10.1287/serv.2021.0048Decentralized Finance (DeFi) marks a transformative shift in financial services, harnessing the power of distributed ledger and smart contract technologies. Despite only five years of development, DeFi has rapidly matured, pioneering state-of-the-art ...
- ArticleJuly 2024
Digital Learning Platforms and Peer Influence: Analysis of Performance and Collaboration
Emerging Technologies for EducationNov 2023, Pages 195–209https://doi.org/10.1007/978-981-97-4246-2_17AbstractThis study investigates the relationship between peer collaboration and student success, with a focus on identifying central figures among a cohort of 47 freshmen in a higher education setting. Utilizing digital learning platforms, students were ...
- research-articleNovember 2023
IoTFlow: Inferring IoT Device Behavior at Scale through Static Mobile Companion App Analysis
CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications SecurityNovember 2023, Pages 681–695https://doi.org/10.1145/3576915.3623211The number of "smart'' devices, that is, devices making up the Internet of Things (IoT), is steadily growing. They suffer from vulnerabilities just as other software and hardware. Automated analysis techniques can detect and address weaknesses before ...
- research-articleNovember 2023
- research-articleMarch 2024
Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningNovember 2023, Pages 753–760https://doi.org/10.1145/3625007.3627300Recommender systems play a crucial role in suggesting relevant content to users based on their past activities. They employ a process known as "collaborative filtering" to efficiently navigate extensive content repositories. However, concerns have been ...
- research-articleNovember 2023
The Company She Seeks: How the Prismatic Effects of Ties to High-Status Network Contacts Can Reduce Status for Women in Groups
Organization Science (INFORMS-ORGS), Volume 35, Issue 3May-June 2024, Pages 853–887https://doi.org/10.1287/orsc.2020.14640Women experience chronically inferior returns in organizations. One common recommendation is to form instrumental network ties with high-status others in groups. We integrate research on social status, social perceptions, and gender issues in social ...
- research-articleOctober 2023
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementOctober 2023, Pages 923–933https://doi.org/10.1145/3583780.3615044Sparse generalized matrix-matrix multiplication (SpGEMM) is a fundamental operation for real-world network analysis. With the increasing size of real-world networks, the single-machine-based SpGEMM approach cannot perform SpGEMM on large-scale networks, ...
- research-articleOctober 2023
Using Speech Patterns to Model the Dimensions of Teamness in Human-Agent Teams
ICMI '23: Proceedings of the 25th International Conference on Multimodal InteractionOctober 2023, Pages 640–648https://doi.org/10.1145/3577190.3614121Teamness is a newly proposed multidimensional construct aimed to characterize teams and their dynamic levels of interdependence over time. Specifically, teamness is deeply rooted in team cognition literature, considering how a team’s composition, ...
- research-articleOctober 2023
Journal titles and mission statements: Lexical structure, diversity, and readability in business, management and accounting research
Journal of Information Science (JIPP), Volume 49, Issue 5Oct 2023, Pages 1262–1276https://doi.org/10.1177/01655515211043707There is an established research agenda on dissecting an article’s components and their association with a journal’s prestige. However, journals’ titles and their overview, aim and scope (i.e. journal’s mission statement – JMS(s)) have not been ...
- ArticleSeptember 2023
CAGE: Cache-Aware Graphlet Enumeration
String Processing and Information RetrievalSep 2023, Pages 129–142https://doi.org/10.1007/978-3-031-43980-3_11AbstractWhen information is (implicitly or explicitly) linked in its own nature, and is modeled as a network, retrieving patterns can benefit from this linked structure. In networks, “graphlets” (connected induced subgraphs of a given size k) are the ...
- abstractOctober 2023
Identification of therapeutic targets for muscle atrophy via analyzing transcriptomic profiles with systems biology approaches
BCB '23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsSeptember 2023, Article No.: 77, Page 1https://doi.org/10.1145/3584371.3613043Skeletal muscle atrophy is defined as an unwanted loss of muscle mass. Muscle atrophy is one of the major side effects of high dose or long-term usage of glucocorticoids (e.g., dexamethasone); therefore, such a drug is often used to induce a model ...
- research-articleAugust 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2023, Pages 3865–3876https://doi.org/10.1145/3580305.3599834Data subsampling is widely used to speed up the training of large-scale recommendation systems. Most subsampling methods are model-based and often require a pre-trained pilot model to measure data importance via e.g. sample hardness. However, when the ...
- research-articleSeptember 2023
Influential Node Identification on an Multilayered Attributed Network
IC3-2023: Proceedings of the 2023 Fifteenth International Conference on Contemporary ComputingAugust 2023, Pages 692–698https://doi.org/10.1145/3607947.3608084Multi-attribute networks are complex systems that can record connections between items based on a range of qualities.These networks have a wide range of applications, including link prediction, anomaly detection, and community discovery.The primary goal ...