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Discovering High-Value Information from Crowdsourcing

Ying Zhao, Douglas J. MacKinnon, Charles C. Zhou
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
The combined system is a unified methodology of discovering high-value information from structured and unstructured heterogeneous data sources.  ...  We will demonstrate the LLA/CLA system using a crowdsourcing data source and show how it can be used to discover new knowledge for a widening range of applications and heterogeneous data types.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied of the U.S. Government.  ... 
doi:10.1145/3110025.3121242 dblp:conf/asunam/ZhaoMZ17 fatcat:naeg4ii4ejcdjmodj6nauymqlq

On the Influence of Emotional Valence Shifts on the Spread of Information in Social Networks

Ema Kušen, Mark Strembeck, Giuseppe Cascavilla, Mauro Conti
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
To the best of our knowledge, this is the first study that provides empirical evidence for the undoing hypothesis in online social networks (OSNs).  ...  To explain this finding, we use the theory of social connection and emotional contagion.  ...  We collected 4,418,655 million publicly available tweets by using the Twitter search API and a list of predefined hashtags. ASONAM'17, July 31-August 03, 2017, Sydney, Australia © 2017 ACM.  ... 
doi:10.1145/3110025.3110031 dblp:conf/asunam/KusenSCC17 fatcat:7x4f5tapcbdxvd7jt3yobzxvle

Social Media in State Politics

Lei Qi, Rihui Li, Johnny Wong, Wallapak Tavanapong, David A. M. Peterson
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
We investigated the effectiveness of three popular machine learning algorithms, Support Vector Machine (SVM), Convolutional Neural Networks (CNN), and Long Short-Term Memory Network (LSTM).  ...  Gaining understanding of the influence of Twitter in state politics in the United States cannot be achieved without proper computational tools.  ...  test datasets '17, July 31-August 03, 2017, Sydney, Australia © 2017 Association for Computing Machinery.  ... 
doi:10.1145/3110025.3110097 dblp:conf/asunam/QiLWTP17 fatcat:677jvqe42nhdxf5b3fmydemk4e

Fast Estimation of Closeness Centrality Ranking

Akrati Saxena, Ralucca Gera, S. R. S. Iyengar
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
The efficiency of the proposed methods is verified on real world scalefree social networks using absolute and weighted error functions.  ...  Closeness centrality is one way of measuring how central a node is in the given network.  ...  Acknowledgement: Gera thanks the DoD, in particular the Asymmetric Warfare Group and the West Point Network Science Center for partially sponsoring this work.  ... 
doi:10.1145/3110025.3110064 dblp:conf/asunam/SaxenaGI17 fatcat:ks5orek57vh7naqdwrp3jrezx4

Optimizing Network Discovery with Clever Walks

Ralucca Gera, Nicholas R. Juliano, Karl R. B. Schmitt
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
We thank the Naval Postgraduate School's Center for Educational Design, Development, and Distribution for creating the live Network Discovery Visualization [11] .  ...  ACKNOWLEDGMENT We thank the DoD and National Science Foundation for partially sponsoring the current research.  ...  ASONAM '17, July 31-August 03, 2017, Sydney, Australia © 2017 Association for Computing Machinery.  ... 
doi:10.1145/3110025.3120961 dblp:conf/asunam/GeraJS17 fatcat:m5hxptrcv5dsnbwenroafbsluu

Finding topical experts in Twitter via query-dependent personalized PageRank

Preethi Lahoti, Gianmarco De Francisci Morales, Aristides Gionis
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
In addition, we address the scalability and performance issues posed by large social networks by pruning the input graph via a focused-crawling algorithm.  ...  Our approach combines traditional link analysis with text mining.  ...  This work was supported by the Tekes project "Re:Know," the Academy of Finland project "Nestor" (286211), and the EC H2020 project "SoBigData" (654024).  ... 
doi:10.1145/3110025.3110044 dblp:conf/asunam/LahotiMG17 fatcat:6yzdmufgpjekjlddbjngp2gpfu

Dagstuhl Reports, Volume 9, Issue 12, December 2019, Complete Issue

2020
AI for Accessibility in Games Tommy Thompson  ...  Model-Based Resource Analysis and Synthesis of Service-Oriented Automotive Software Architectures, 22 nd International Conference on Model Driven Engineering Languages and Systems, IEEE/ACM, 2019. 5 A.  ...  2, IEEE / ACM, 2018.  ... 
doi:10.4230/dagrep.9.12 fatcat:hebigxkvinhjdb6qlg3j5hw25u