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ORCIDASONAM 2021: Virtual Event, The Netherlands
- Michele Coscia, Alfredo Cuzzocrea, Kai Shu, Ralf Klamma, Sharyn O'Halloran, Jon G. Rokne:
ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8 - 11, 2021. ACM 2021, ISBN 978-1-4503-9128-3 - Michele Coscia, Alfredo Cuzzocrea, Kai Shu:
Advances in Social Network Analysis and Mining in the Big Data Era: Overview of the IEEE/ACM ASONAM 2021 International Conference. xi-xii
ASONAM 2021 session 1a
- Takayasu Fushimi
, Kazumi Saito, Hiroshi Motoda:
Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. 1-8 - Faisal Ghaffar, Neil Hurley:
Modelling social capital: the structural hole connections game. 9-13 - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Which kind of rumors may undermine society: perspectives from court orders. 14-17 - Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty:
Assessing the quality of the datasets by identifying mislabeled samples. 18-22
ASONAM 2021 session 1b
- Liang-yu Chen, Yutong Chen, Young D. Kwon, Youwen Kang, Pan Hui:
IAN: interpretable attention network for churn prediction in LBSNs. 23-30 - Mingxuan Chen, Xinqiao Chu, K. P. Subbalakshmi:
MMCoVaR: multimodal COVID-19 vaccine focused data repository for fake news detection and a baseline architecture for classification. 31-38 - Rey C. Rodrigueza, Maria Regina Justina E. Estuar:
A spatial agent-based model for preemptive evacuation decisions during typhoon. 39-42 - Mehak Preet Dhaliwal, Muskaan, Aaditeshwar Seth:
Fairness and diversity in the recommendation and ranking of participatory media content. 43-47
ASONAM 2021 session 2a
- Athanasia Polychronopoulou, Jumanah Alshehri, Zoran Obradovic:
Distinguishability of graphs: a case for quantum-inspired measures. 48-55 - Athanasia Polychronopoulou, Fang Zhou, Zoran Obradovic:
Cosine similarity for multiplex network summarization. 56-63 - Josemar Alves Caetano, Jussara M. Almeida, Marcos André Gonçalves, Wagner Meira Jr., Humberto Torres Marques-Neto, Virgílio A. F. Almeida:
Analyzing topic attention in online small groups. 64-68 - Charalampos Chelmis, Khandker Sadia Rahman:
Peeking through the homelessness system with a network science lens. 69-73
ASONAM 2021 session 2b
- Anisa Halimi, Erman Ayday:
Real-time privacy risk quantification in online social networks. 74-81 - Hang Cui, Tarek F. Abdelzaher:
The voice of silence: interpreting silence in truth discovery on social media. 82-89 - Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar:
Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis. 90-94 - Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi:
Forecasting topic activity with exogenous and endogenous information signals in Twitter. 95-98
ASONAM 2021 session 3a
- Anish K. Vallapuram, Nikhil Nanda, Young D. Kwon, Pan Hui:
Interpretable business survival prediction. 99-106 - Inzamam Rahaman, Patrick Hosein:
A model for optimizing article recommendation for reducing polarization. 107-110 - Shiori Furukawa, Sho Tsugawa:
Limitations of link deletion for suppressing real information diffusion on social media. 111-115 - Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh:
Constant community identification in million scale networks using image thresholding algorithms. 116-120
ASONAM 2021 session 3b
- Ahmad El Shoghri, Jessica Liebig, Raja Jurdak, Salil S. Kanhere:
How disease spread dynamics evolve over time. 121-128 - Luca Vassio, Michele Garetto, Carla-Fabiana Chiasserini, Emilio Leonardi:
Temporal dynamics of posts and user engagement of influencers on Facebook and Instagram. 129-133 - Fa-Yuan Liu, Shiou-Chi Li, Jen-Wei Huang:
Forming a team of cost-effective and well-collaborated experts in social networks based on hierarchical skill model. 134-137 - Soroosh Shalileh, Boris G. Mirkin:
Community detection in feature-rich networks to meet K-means. 138-142
ASONAM 2021 session 4a
- Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu:
GAWD: graph anomaly detection in weighted directed graph databases. 143-150 - Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang:
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing. 151-158 - Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
HGATs: hierarchical graph attention networks for multiple comments integration. 159-163 - Yin Zhang, Yun He, James Caverlee:
Vibe check: social resonance learning for enhanced recommendation. 164-167
ASONAM 2021 session 4b
- Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. 168-175 - Matt Revelle, Carlotta Domeniconi, Ben U. Gelman:
Group-node attention for community evolution prediction. 176-183 - Abishai Joy, Anu Shrestha, Francesca Spezzano:
Are you influenced?: modeling the diffusion of fake news in social media. 184-188 - Rohit Mujumdar, Srijan Kumar:
HawkEye: a robust reputation system for community-based counter-misinformation. 188-192
ASONAM 2021 session 5a
- Asmit Kumar Singh, Chirag Jain, Jivitesh Jain, Rishi Raj Jain, Shradha Sehgal, Tanisha Pandey, Ponnurangam Kumaraguru:
What's kooking?: characterizing India's emerging social network, Koo. 193-200 - Mounir Haddad, Cécile Bothorel, Philippe Lenca, Dominique Bedart:
Temporalizing static graph autoencoders to handle temporal networks. 201-208 - Shiyuan Zheng, Hong Xie, John C. S. Lui:
Pricing social visibility service in online social networks: modeling and algorithms. 209-213 - Alexandru Topîrceanu, Mihai Udrescu:
Fast colonization algorithm for seed selection in complex networks based on community detection. 214-218
ASONAM 2021 session 5b
- Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
Multi-view hypergraph convolution network for semantic annotation in LBSNs. 219-227 - Joseph Kwarteng, Serena Coppolino Perfumi, Tracie Farrell, Miriam Fernández:
Misogynoir: public online response towards self-reported misogynoir. 228-235 - Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo:
BotRGCN: Twitter bot detection with relational graph convolutional networks. 236-239 - Jules Azad Emery, Matthieu Latapy:
Full Bitcoin blockchain data made easy. 240-243
ASONAM 2021 session 6a
- Behnaz Moradi-Jamei, Brandon L. Kramer, J. Bayoán Santiago Calderón, Gizem Korkmaz:
Community formation and detection on GitHub collaboration networks. 244-251 - Giuseppe Pirrò:
Edge-centric network analysis. 252-256 - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Identifying influential nodes using overlapping modularity vitality. 257-264 - Maria J. Blesa, Pau García-Rodríguez, Maria J. Serna:
Forward and backward linear threshold ranks. 265-269
ASONAM 2021 session 6b
- Risul Islam, Ben Treves, Md Omar Faruk Rokon, Michalis Faloutsos:
LinkMan: hyperlink-driven misbehavior detection in online security forums. 270-277 - Valeria Fionda, Giuseppe Pirrò:
Community deception in weighted networks. 278-282 - Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The banking transactions dataset and its comparative analysis with scale-free networks. 283-296
DEMONSTRATION SESSION: DEMO track session
- Thomas Marcoux, Oluwaseyi Adeliyi, Nitin Agarwal:
Characterizing video-based online information environment using VTracker. 297-300 - Mayank Kejriwal, Ke Shen:
Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts. 301-304 - Can Yang, Bernardo Pereira Nunes, Jonatas Castro dos Santos, Sean Wolfgand Matsui Siqueira, Xinyuan Xu:
The BiasChecker: how biased are social media searches? 305-308 - Abiola Akinnubi, Nitin Agarwal, Zachary K. Stine, Sodiq Oyedotun:
Analyzing online opinions and influence campaigns on blogs using BlogTracker. 309-312 - Zhenhe Pan, Shuang Jiang, Juntao Su, Muzhe Guo, Yuanlin Zhang:
Knowledge graph based platform of COVID-19 drugs and symptoms. 313-316
PhD track session
- Effrosyni Papanastasiou, Anastasios Giovanidis:
Bayesian inference of a social graph with trace feasibility guarantees. 317-324 - Lauren Hudson, Roger M. Whitaker, Stuart M. Allen, Liam D. Turner, Diane Felmlee:
The centrality of edges based on their role in induced triads. 325-332
Multidisciplinary track session
- Pedro Ramaciotti Morales, Jean-Philippe Cointet, Gabriel Muñoz Zolotoochin:
Unfolding the dimensionality structure of social networks in ideological embeddings. 333-338 - Philippe J. Giabbanelli, Michael C. Galgoczy, Duc M. Nguyen, Romain Foy, Ketra L. Rice, Nisha Nataraj, Margaret M. Brown, Christopher R. Harper:
Mapping the complexity of suicide by combining participatory modeling and network science. 339-342 - Suomi Kobayashi, Shohei Matsugu, Hiroaki Shiokawa:
Fast indexing algorithm for efficient kNN queries on complex networks. 343-347 - Demetris Paschalides, George Pallis, Marios D. Dikaiakos:
POLAR: a holistic framework for the modelling of polarization and identification of polarizing topics in news media. 348-355 - Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, Roy Ka-Wei Lee:
Will you dance to the challenge?: predicting user participation of TikTok challenges. 356-360
Industrial track session I
- Jakapun Tachaiya, Arman Irani, Kevin M. Esterling, Michalis Faloutsos:
SentiStance: quantifying the intertwined changes of sentiment and stance in response to an event in online forums. 361-368 - Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Constraint-embedded paraphrase generation for commercial tweets. 369-376 - Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi:
LocationTrails: a federated approach to learning location embeddings. 377-384
Industrial track session II
- Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
Meta-reinforcement learning via buffering graph signatures for live video streaming events. 385-392 - Berk Kardas, Ismail Erdem Bayar, Tansel Özyer, Reda Alhajj:
Detecting spam tweets using machine learning and effective preprocessing. 393-398 - Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
SCATE: shared cross attention transformer encoders for multimodal fake news detection. 399-406
Industrial track session III
- Md Rashidul Hasan, Dheeman Saha, Farhan Asif Chowdhury, James H. Degnan, Abdullah Mueen:
DiffuScope: inferring post-specific diffusion network. 407-415 - Nadir Emre Zirbilek, Mustafa Erakin, Tansel Özyer, Reda Alhajj:
Hot topic detection and evaluation of multi-relation effects. 416-422 - Sofia Hurtado, Radu Marculescu, Justin A. Drake, Ravi Srinivasan:
Pruning digital contact networks for meso-scale epidemic surveillance using foursquare data. 423-430
WORKSHOP SESSION: MSNDS workshop session
- Fabio Bertone, Luca Vassio, Martino Trevisan:
The stock exchange of influencers: a financial approach for studying fanbase variation trends. 431-435 - I-Hsien Ting, Chia-Sung Yen:
Towards automatic generated content website based on content classification and auto-article generation. 436-438 - Min-Yuh Day:
Artificial intelligence for knowledge graphs of cryptocurrency anti-money laundering in fintech. 439-446 - Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. 447-454
WORKSHOP SESSION: SI workshop session
- Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects. 455-462 - Sarvnaz Sadeghi, Pooya Moradian Zadeh:
A novel knowledge-based multi-population framework for studying opinion dynamics of migrated individuals. 463-470 - Abida Sadaf, Luke Mathieson, Katarzyna Musial:
An insight into network structure measures and number of driver nodes. 471-478 - Fabián Riquelme, Francisco Muñoz, Rodrigo Olivares:
Social influence under improved multi-objective metaheuristics. 479-486
HI-BI-BI session I
- Carmela Comito, Deborah Falcone, Agostino Forestiero:
Diagnosis prediction based on similarity of patients physiological parameters. 487-494 - M. Taleb Albrijawi, Amrou Haj Ibrahim, Reda Alhajj:
Predictions of drug metabolism pathways through CYP 3A4 enzyme by analysing drug-target interactions network graph. 495-501 - Sleiman Alhajj, Aya Alhajj, Sibel Tariyan Özyer:
Combining multiple clustering and network analysis for discoveries in gene expression data. 502-509
HI-BI-BI session II
- Kunihiro Miyazaki, Takayuki Uchiba, Fujio Toriumi, Kenji Tanaka, Takeshi Sakaki:
Retrospective analysis of controversial topics on COVID-19 in Japan. 510-517 - Carmela Comito, Clara Pizzuti:
Predicting COVID-19 with AI techniques: current research and future directions. 518-524 - Farzaneh Jouyandeh, Sarvnaz Sadeghi, Bahareh Rahmatikargar, Pooya Moradian Zadeh:
Fake news and COVID-19 vaccination: a comparative study. 525-531
FAB session I
- Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing:
Multi-stage graph peeling algorithm for probabilistic core decomposition. 532-539 - Anmol Mann, Venkatesh Srinivasan, Alex Thomo:
Approximating 4-cliques in streaming graphs: the power of dual sampling. 540-544 - Connor C. J. Hryhoruk, Carson K. Leung:
Compressing and mining social network data. 545-552 - Haripriya Chakraborty, Liang Zhao:
An auction-based mechanism to promote cooperation in resource exchange networks. 553-560
FAB session II
- Yaren Yilmaz, Sule Gündüz Ögüdücü:
Enriching demand prediction with product relationship information using graph neural networks. 561-568 - Carson K. Leung, Sehaj Pal Singh:
A mathematical model for friend discovery from dynamic social graphs. 569-576
FAB session III
- Mayank Bhasin, Harshit, Pawan Goyal:
Which acts model happiness?: an exploratory analysis on Twitter and Goodreads. 577-584 - Dmitri Goldenberg, Eyal Tzvi Tenzer:
Deterministic influence maximization approach for sequential active marketing. 585-590
FOSINT-SI session I
- Yichen Wang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra:
Analyzing behavioral changes of Twitter users after exposure to misinformation. 591-598 - Mohamad Imad Mahaini, Shujun Li:
Detecting cyber security related Twitter accounts and different sub-groups: a multi-classifier approach. 599-606 - Farhan Asif Chowdhury, Dheeman Saha, Md Rashidul Hasan, Koustuv Saha, Abdullah Mueen:
Examining factors associated with Twitter account suspension following the 2020 U.S. presidential election. 607-612
FOSINT-SI session II
- Luke J. Osterritter, Kathleen M. Carley:
Conversations around organizational risk and insider threat. 613-621 - Malek Malkawi, Tansel Özyer, Reda Alhajj:
Automation of active reconnaissance phase: an automated API-based port and vulnerability scanner. 622-629 - Mikko Korkiakoski, Fatima Sadiq, Febrian Setianto, Ummi Khaira Latif, Paula Alavesa, Panos Kostakos:
Using smart glasses for monitoring cyber threat intelligence feeds. 630-634
FOSINT-SI session III
- Johan Fernquist, Björn Pelzer, Lukas Lundmark, Lisa Kaati, Fredrik Johansson:
Similarity ranking using handcrafted stylometric traits in a swedish context. 635-642 - Kumari Neha, Tushar Mohan, Arun Balaji Buduru, Ponnurangam Kumaraguru:
Truth and travesty intertwined: a case study of #SSR counterpublic campaign. 643-648 - Febrian Setianto, Erion Tsani, Fatima Sadiq, Georgios Domalis, Dimitris Tsakalidis, Panos Kostakos:
GPT-2C: a parser for honeypot logs using large pre-trained language models. 649-653 - Yu-Che Tsai, Cheng-Te Li:
CARE: learning convolutional attentional recurrent embedding for sequential recommendation. 654-660
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