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ASONAM 2023: Kusadasi, Turkey
- B. Aditya Prakash, Dong Wang, Tim Weninger:
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023. ACM 2023
Opinion/Dynamics/Social Normals I
- Nur Dean
, George K. Nakashyan
Popularity-Based Approach to Promote Cooperation in The Prisoner's Dilemma Game. 1-8 - Bhargav Krishna Thota
Assessing Impact of Social Network on Formation of Opinions in Integrated Intelligent Argumentation with Social Network. 9-16 - Alireza Mohammadinodooshan
A Clone-based Analysis of the Content-Agnostic Factors Driving News Article Popularity on Twitter. 17-24 - Raed Alharbi
Analyzing the Dynamics of Social Norms: Positive vs Negative Emergence. 25-29
Opinion/Dynamics/Social Normals II
- Ashwin Rao
Retweets Amplify the Echo Chamber Effect. 30-37 - Faisal Alatawi
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. 38-45 - Yanna Ding
Learning Network Dynamics from Noisy Steady States. 46-50 - Ismail Hossain
Monitoring Dynamics of Emotional Sentiment in Social Network Commentaries. 51-55
Social Good I
- Omar Hammad
PureNav: A Personalized Navigation Service for Environmental Justice Communities Impacted by Planned Disruptions. 56-63 - Hussain Otudi
Classifying Severe Weather Events by Utilizing Social Sensor Data and Social Network Analysis. 64-71 - Sultan Ahmed
Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification. 72-76 - Hafiz Budi Firmansyah
Accelerating Crisis Response: Automated Image Classification for Geolocating Social Media Content. 77-81
Social Good II
- Sofia Hurtado
Quarantine in Motion: A Graph Learning and Multi-Agent Reinforcement Learning Framework to Reduce Disease Transmission Without Lockdown. 82-89 - Shing Hin John Yeung
Agent based network modelling of COVID-19 disease dynamics and vaccination uptake in a New South Wales Country Township. 90-97 - Weiyi Wang
SeCoNet: A Heterosexual Contact Network Growth Model for Human Papillomavirus Disease Simulation. 98-102 - Nishant Vishwamitra
Understanding and Analyzing COVID-19-related Online Hate Propagation Through Hateful Memes Shared on Twitter. 103-107
Bias/Fairness
- Siddharth D. Jaiswal
Auditing Gender Analyzers on Text Data. 108-115 - Diaoulé Diallo
Privacy-Preserving Vital Node Identification in Complex Networks: Evaluating Centrality Measures under Limited Network Information. 116-120 - Paula Reyero Lobo
A Multidisciplinary Lens of Bias in Hate Speech. 121-125 - Konstantinos Manolis
Modularity-Based Fairness in Community Detection. 126-130 - Jad Doughman
FairGauge: A Modularized Evaluation of Bias in Masked Language Models. 131-135
Misinformation/Fake News
- Shreya Ghosh
Tweeted Fact vs Fiction: Identifying Vaccine Misinformation and Analyzing Dissent. 136-143 - Keshopan Arunthavachelvan
PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection. 144-148 - Muhammad Abulaish
A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction. 149-153 - Peixian Zhang
Echo Chambers within the Russo-Ukrainian War: The Role of Bipartisan Users. 154-158 - Yu-Yen Ting
Improving Chinese Fact Checking via Prompt Based Learning and Evidence Retrieval. 159-163
Graph Learning I
- Gustav Nikopensius
Reinforcement Learning-based Knowledge Graph Reasoning for Explainable Fact-checking. 164-170 - Simon Delarue
Unexpected Attributed Subgraphs: a Mining Algorithm. 171-178 - Joseph Kwarteng
Annotators' Perspectives: Exploring the Influence of Identity on Interpreting Misogynoir. 179-186
Community Detection and Analysis I
- Yashar Talebirad
USIWO: A Local Community Search Algorithm for Uncertain Graphs. 187-194 - Isabel Murdock
An Agent-Based Model of Reddit Interactions and Moderation. 195-202 - Rima Hazra
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities. 203-212
Graph Learning II
- Xueying Liu
Learning Common Knowledge Networks Via Exponential Random Graph Models. 213-220 - Seonhyeong Kim
Realtime Disaster Detection Through GNN Models Using Disaster Knowledge Graphs. 221-228 - Aming Wu
AD-TIN: Edge Anomaly Detection for Temporal Interaction Networks using Multi-representation Attention. 229-236
Graph Learning III
- George Panagopoulos
Maximizing Influence with Graph Neural Networks. 237-244 - Saket Gurukar
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. 245-252 - Harry Shomer
Learning Representations for Hyper-Relational Knowledge Graphs. 253-257 - Shoval Frydman
FODGE - Fast Online Dynamic Graph Embedding. 258-262
Community Detection and Analysis II
- Hitkul Jangid
Together Apart: Decoding Support Dynamics in Online COVID-19 Communities. 263-270 - Yiping Liu
Efficient size-prescribed k-core search. 271-275 - Jiarui Wang
Online Social Community Sub-Location Classification. 276-280 - Elyazid Akachar
NI-MLA: Node Importance based Multi-level Label Assignment strategy for community detection in sparse social graphs. 281-285
Web Applications I
- Mohammed Afaan Ansari
Quantifying the Transience of Social Web Datasets. 286-293 - Sachin Thukral
Generating insights about financial asks from Reddit posts and user interactions. 294-299 - Florian Steuber
Real-Time Anomaly Detection and Popularity Prediction for Emerging Events on Twitter. 300-304 - Md Rayhanul Masud
GeekMAN: Geek-oriented username Matching Across online Networks. 305-309 - Abduljaleel Al-Rubaye
How Popularity Shapes User Interactions in Tech-Related Online Communities. 310-314
Web Applications II
- Siyi Guo
Measuring Online Emotional Reactions to Events. 315-319 - Ehsan ul Haq
Understanding Characteristics of Catalyst Users in the WallStreetBets Community. 320-324 - Shintaro Ueki
User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. 325-329 - Gheida Shahrour
The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study. 330-334 - Dang Pham
Utilizing Textual Reviews for Visualizing and Understanding User Preferences. 335-339 - Max-Emanuel Keller, Alexander Döschl, Peter Mandl, Alexander Schill:
Towards an adaptive algorithms selection on predicting the update interval for social media feeds. 340-344
PHD Track I
- Keshava Pallavi Gone
Designing a Natural Language Processing System to Support Social Science Research. 345-347 - Alexander Shevtsov
Russo-Ukrainian War: Prediction and explanation of Twitter suspension. 348-355 - Kirti Jain
Modeling Behavioral and Epidemic Dynamics in Social Contact Networks. 356-363 - Ahmad Hassanpour
The Impact of Linkability On Privacy Leakage. 364-370
PHD Track II
- Mohamad Elhadi Abushofa
FEGR: Feature Enhanced Graph Representation Method for Graph Classification. 371-378 - Nathan Bartley
Evaluating Content Exposure Bias in Social Networks. 379-383 - Ahmed Aly
ROBUREC: Building a Robust Recommender using Autoencoders with Anomaly Detection. 384-391 - James Stevenson
Analysing The Activities Of Far-Right Extremists On The Parler Social Network. 392-399
PHD Track III
- Tim Faverjon
Discovering ideological structures in representation learning spaces in recommender systems on social media data. 400-406 - Natalia Meshcheryakova
Perturbation Analysis of Centrality Measures. 407-414 - Anjan Chowdhury
Analyzing the Progression of Alzheimer's Disease in Human Brain Networks. 415-418 - Braully Rocha da Silva
A Greedy Heuristic for Majority Target Set Selection in Social Networks. 419-426
Demonstration Session
- Yidan Sun
DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space. 427-430 - Tansel Özyer
KoExPubMed: A Tool for Effective and Customized Knowledge Extraction from PubMed. 431-435 - Enrique Gomicia-Murccia
pyStudio: An Open-Source Machine Learning Platform. 436-440 - John Ziegler
TrendTracker: Temporal, network-based exploration of long-term Twitter trends. 441-444 - Trisha Singhal
Photozilla: An Image Dataset of Photography Styles and its Application to Visual Embedding and Style Detection. 445-449 - Ishmam Ahmed Solaiman
Multiagent-based Youtube Content Discovery Bot. 450-453
Multidisciplinary Track
- Ahmed F. M. Fahmy
Tracking User Sentiment Changes on Social Networks. 454-458 - Toshi-Hiro Ito
An Effective Graph-based Music Recommendation Algorithm for Automatic Playlist Continuation. 459-463 - Kenji Yokotani
Abnormal behavior of following peers in an online game indicates bipolar disorder and manic/hypomanic episodes. 464-469 - Zvi Lotker
The Art of Active Listening. 470-474 - Ian McCulloh
Fragile Minds: Exploring the Link Between Social Media and Young Adult Mental Health. 475-479 - Theresa Migler
Exploring Inequity in Park Usage Amidst the COVID-19 Pandemic. 480-483
Industrial Track I
- Ben Treves
RURLMAN: Matching Forum Users Across Platforms Using Their Posted URLs. 484-491 - Abdulaziz Alhamadani
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. 492-501 - Nikki Gupta
Quantifying customer interactions on ML optimized page layouts. 502-508 - Lylia Abrouk
OntoFiC : an ontology for financial fraud detection and customer behavior modeling. 509-513
Industrial Track II
- Shwetha Koushik Manchinahalli Srikanta
Structure and Dynamics of a Charitable Donor Co-Attendance Network. 514-521 - Lulwah Alkulaib
Hypergraph Text Classification for Mental Health Misleading Advice. 522-529 - Abiola Akinnubi
Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data. 530-537 - Shengkun Wang
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. 538-542
HI-BI-BI I
- Zineb Farahat
On the Use of Modeling 3D Reconstruction and 3D Printing Methods to Improve Simulation-Based Training in Cardiology. 543-550 - Tansel Özyer
Creating a Learning Profile by Using Face and Emotion Recognition. 551-557 - Layla Bouzoubaa
Exploring the Landscape of Drug Communities on Reddit: A Network Study. 558-565 - Zineb Farahat
Improved Ureteroscopies Care Through the Use of 3D Printing Techniques. 566-570 - Simone Branchetti
Large-scale Sporting Events and the Spread of COVID-19 in USA: The Case of the 2021 NFL Super Bowl, in Tampa, FL. 571-574
HI-BI-BI II
- Kazi Tabassum Ferdous
Brain network similarity using k-cores. 575-582 - Nick Amvazas
Introducing a high-accuracy brain-computer interface (BCI) for intelligent wheelchairs. 583-587 - Tansel Özyer
Investigating The Roles of microRNAs / lncRNAs in Characterizing Breast Cancer Subtypes and Prognosis. 588-595 - Nouhaila Erragzi
US-Net: A Breast Ultrasound Image Segmentation using Deep Learning. 596-602
FOSINT-SI I
- Priyanka Ranade
FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction. 603-610 - Joel Brynielsson
Comparison of Strategies for Honeypot Deployment. 611-618 - Amendra Shrestha
Linguistic Alignments: Detecting Similarities in Language Use in Written Communication. 619-623 - Amendra Shrestha
Harmful Communication: Detection of Toxic Language and Threats on Swedish. 624-630 - Shadi Shajari
Characterizing Suspicious Commenter Behaviors. 631-635
FOSINT-SI II
- Md Jahangir Alam
Combating Identity Attacks in Online Social Networks: A Multi-Layered Framework Using Zero-Knowledge Proof and Permissioned Blockchain. 636-643 - Esraa Aldreabi
Enhancing Automated Hate Speech Detection: Addressing Islamophobia and Freedom of Speech in Online Discussions. 644-651 - Rohan Leekha
A generalized solution to verify authorship and detect style change in multi-authored documents. 652-657 - Yiping Liu
Centralization Problem for Opinion Convergence in Decentralized Networks. 658-665
FAB I
- Ahmed Almohanadi
Emotion Mapping: Sentiment Analysis using Emoji in Twitter Data from Japan in the COVID-19 Era. 666-669 - Yidan Sun
A structural study of Big Tech firm-switching of inventors in the post-recession era. 670-677 - Ying Zhao
Quantum Theoretic Values of Collaborative and Self-organizing Agents. 678-685
FAB II
- Clay Duncan
Unmasking Bias in Chat GPT Responses. 687-691 - Md Rayhan Kabir
CFAR++: Enhancing Rule Based Classifier. 692-697 - Wenchuan Mu
Modelling Text Similarity: A Survey. 698-705 - Giovana Voltoline
Understanding Massive Text Visualization. 706-711
MSNDS 2023 Workshop Session I
- I-Hsien Ting
Applying Social Network Embedding and Word Embedding for Socialbots Detection. 712-718 - Min-Yuh Day
CMSI: Carbon Market Sentiment Index with AI Text Analytics. 719-726 - Connor C. J. Hryhoruk
Social network mining and analytics for quantitative patterns. 727-734
MSNDS 2023 Workshop Session II
- Carson K. Leung
Personalized privacy-preserving semi-centralized recommendation system in a social network. 735-744 - William Power
Understanding Online Attitudes with Pre-Trained Language Models. 745-752 - Mert Can Cakmak
Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm. 753-760
MSNDS 2023 Workshop Session III
- Franziska Goll
Social Media Usage Behavior - Does a break for impulse control between the stimulus to open a social media app and the actual response to open the app reduce the total time spent using a social media app? 761-766 - Carmela Comito
Exploring COVID-19 Discourse: Analyzing Sentiments for Fake News Detection in Twitter Topics. 767-774 - Laura Ventrice
Enriching Wikipedia Texts through Geographic Information Extraction. 775-779 - Benjamin Shultz
An Entity-Aware Approach to Logical Fallacy Detection in Kremlin Social Media Content. 780-783 - Youcef Benkhedda
Emoji are Effective Predictors of User's Demographics. 784-792
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