Social Cognitive Networks Academic Research Center

The ARL Social Cognitive Network Academic Research Center (SCNARC) has been created and funded as a part of the US Army Network Science Collaborative Technology Alliance together with three other centers focusing on different kind of networks. The funding of SCNARC comes predominantly from the US Army and the Army Research Laboratory plays the key role in guiding the research directions of NS CTA. The principal member of the Center is Rensselaer Polytechnic Institute while the remaining members are CUNY, IBM TJ Watson Research Laboratory, and Northeastern University. The Center includes also collaborators from the Army Research Laboratory, Indiana University, University of Maryland, MIT, Northwestern University, University of Notre Dame and NYU. The Center will collaborate closely with other centers of the Network Science CTA.

SCNARC

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A paper titled "Supervised Learning of the Global Risk Network Activation from Media Event Reports," by Xian Liu, Gyorgy Korniss and Boleslaw K. Szymanski appeared in SN Computer Science, vol. 1:29 (2020) on Oct. 14, 2019

Oct. 25, 2019: A paper titled "Supervised Learning of the Global Risk Network Activation from Media Event Reports," by Xian Liu, Gyorgy Korniss and Boleslaw K. Szymanski appeared in SN Computer Science, 1:29 (2020) on Oct. 14, 2019. The paper studies the World Economic Forum (WEF) annual reports of global risks which have the high impact on the world’s economy. (more)

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The paper titled "Identifying events in mobility data," by Branko Kavsek, Dunja Mladenic, Omar Malik, and Boleslaw Szymanski was published in Proc. Conference on Data Mining and Data Warehouses (SiKDD 2019) Ljubljana, Slovenia, October 7th, 2019.

Oct. 22, 2019: The paper titled "Identifying events in mobility data," by Branko Kavsek, Dunja Mladenic, Omar Malik, and Boleslaw Szymanski presented by Dr. Kavsek and published in Proc. Conference on Data Mining and Data Warehouses (SiKDD 2019) Ljubljana, Slovenia, October 7th, 2019. (more)

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Prof. Boleslaw K. Szymanski presented the plenary invited talk on "AI in Network Science: Challenges and Opportunities," at the Advances in Artificial Intelligence Symposium (PP-RAI) in Wroclaw, Poland on Oct. 17, 2019.

Oct. 17, 2019: Prof. Boleslaw K. Szymanski presented the plenary invited talk on "AI in Network Science: Challenges and Opportunities," at the Advances in Artificial Intelligence Symposium (PP-RAI) in Wroclaw, Poland on Oct. 17, 2019. The talk discusses how Network Science, like many other disciplines of Science and Engineering, embraces advance in AI and attempts to apply them to their problems. (more)

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Prof. Boleslaw K. Szymanski presented the invited talk "Supervised Learning of the Global Risk Network Activation from Media Event Reports" at the Conference on Modelling Methods in Computer Systems, Networks and Bioinformatics in Paris, on Oct. 14, 2019.

Oct. 17, 2019: Prof. Boleslaw K. Szymanski presented the invited plenary talk "Supervised Learning of the Global Risk Network Activation from Media Event Reports", coauthored by Dr. Xiang Niu and Prof. Gyorgy Korniss, at the Conference on Modelling Methods in Computer Systems, Networks and Bioinformatics in Paris, on October 14, 2019. (more)

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On October 2, Prof. Boleslaw K. Szymanski presented an invited talk on "Finding Efficient Spreaders for Information Diffusion in Social Networks," at the Conference on Complex Networks.

Oct. 04, 2019: On October 2, Prof. Boleslaw K. Szymanski presented an invited talk on "Finding Efficient Spreaders for Information Diffusion in Social Networks," co-authored by Panagiotis Karampourniotis, and Gyorgy Korniss. The talk was a part of the Renoir Satellite Workshop at the Conference on Complex Networks in Singapore. (more)

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Prof. Janusz Holyst presented today a talk on "Finding the source of local information cascades in complex networks," co-authored by Krzysztof Suchecki, Boleslaw K. Szymanski at the Conference on Complex Systems.

Oct. 04, 2019: Prof. Janusz Holyst presented today a talk on "Finding the source of local information cascades in complex networks," co-authored Krzysztof Suchecki, and Boleslaw K. Szymanski at the Conference on Complex Systems in Singapore. (more)

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Prof. Boleslaw K. Szymanski presented the paper "Optimal Control of Networked Risks: Minimizing Time and Energy" at the Conference on Complex System, Singapore in Oct. 1, 2019

Oct. 03, 2019: Prof. Boleslaw K. Szymanski presented the paper "Optimal Control of Networked Risks: Minimizing Time and Energy" at the Conference on Complex System, Singapore in Oct. 1, 2019. The corresponding paper was co-authored by Dr. Xiang Niu and Prof. Jianxi Gao. (more)

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A paper titled "An Experimental Approach to Identify Perceived Opinion Formation Thresholds from Social Media," coauthored by Gyorgy Korniss & Boleslaw Szymanski was posted as ARL TR

Sep. 17, 2019: A paper titled "An Experimental Approach to Identify Perceived Opinion Formation Thresholds from Social Media," by Derrik E. Asher, Justine Caylor, Alexis R. Neigel, Casey Doyle, Mark R Mittrick, John T Richardson, Gyorgy Korniss, and Boleslaw Szymanski was posted Defence Technical Information Center as ARL Technical Report ARL-TR-8763 on August 1, 2019. (more)

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Dr. Ashwin Bahulkar presented a demo titled "Modeling and predicting human social behavior" co-authored by Boleslaw K. Szymanski, Kevin Chan and Omar Lizardo at KDD'2019 in Anchorage, AK, on August 3, 2019

Sep. 14, 2019: Dr. Ashwin Bahulkar presented a demo titled "Modeling and predicting human social behavior" co-authored by Boleslaw K. Szymanski, Kevin Chan and Omar Lizardo at the showcase session at the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD'2019, in Anchorage, AK, August 4-8, 2019. (more)

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A new paper titled "A Regularized Stochastic Block Model for the robust community detection in complex networks," by X. Lu and B.K. Szymanski was published in Scientific Reports, vol.9:13247 today.

Sep. 13, 2019: A new paper titled "A Regularized Stochastic Block Model for the robust community detection in complex networks," by Xiaoyan Lu and Boleslaw K. Szymanski was published in Scientific Reports, 9:13247 Sept. 13, 2019. (more)