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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The paper titled "Optimizing sensors placement in complex networks for localization of hidden signal source: A review," co-authored by Boleslaw K. Szymanski appeared in Future Generation of Computer Systems, 112:1070-92, 2020

Jul. 13, 2020: The paper titled "Optimizing sensors placement in complex networks for localization of hidden signal source: A review," co-authored by Boleslaw K. Szymanski appeared in Future Generation of Computer Systems, 112(10):1070-92, June 22, 2020. (more)

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A paper titled "Modeling competitive evolution of multiple languages" by Zejie Zhou, Boleslaw K. SzymanskiI and Jianxi Gao, has been published by PLOS ONE journal.

May. 14, 2020: A paper titled "Modeling competitive evolution of multiple languages" by Zejie Zhou, Boleslaw K. SzymanskiI and Jianxi Gao, has been published by PLOS ONE journal in volume 15 issue 5 .on May 12, 2020. (more)

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The paper titled "Asymptotic resolution bounds of generalized modularity and multi-scale community detection," by X. Lu, B. Cross and B.K. Szymanski was published by Information Sciences 525:54-66 July 2020

Apr. 15, 2020: The paper titled "Asymptotic resolution bounds of generalized modularity and multi-scale community detection," by Xiaoyan Lu, Brendan Cross, and Boleslaw K. Szymanski was published Information Sciences 525:54-66 July 2020. (more)

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A paper titled "Using correlated stochastic differential equations to forecast cryptocurrency rates and social media activities," by S. Dipple, A. Choudhary, J. Flamino, B.K. Szymanski, G. Korniss appeared in Applied Network Science, 5:17.

Mar. 13, 2020: A paper titled "Using correlated stochastic differential equations to forecast cryptocurrency rates and social media activities," by Stephen. Dipple, Abhishek. Choudhary, James. Flamino, Boleslaw .K. Szymanski, and Gyorgy Korniss appeared in Applied Network Science, 5:17 March 11, 2020. (more)

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The paper titled "Multiscale Online Media Simulation with SocialCube," co-authored among others by Tarek Abdelzaher, Boleslaw K. Szymanski was published in Computational and Mathematical Organization Theory

Jan. 28, 2020: The paper titled "Multiscale Online Media Simulation with SocialCube," by Tarek Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai, Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, Gyorgy Korniss, and Boleslaw K. (more)

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Paper titled "Dynamics of Crime Activities in the City Neighborhood Network," by Xiang Niu, Amr Elsisy, Noemi Derzsy, and Boleslaw K. Szymanski was published in Applied Network Science today

Dec. 26, 2019: Paper titled "Dynamics of Crime Activities in the City Neighborhood Network," by Xiang Niu, Amr Elsisy, Noemi Derzsy, and Boleslaw K. Szymanski was published in Applied Network Science today. The paper focuses on analyzing criminal activities, their structure and dynamics that are fundamental for designing tools for crime prediction that can also guide crime prevention. (more)

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The paper titled "On community structure in complex networks: challenges and opportunities," by Hocine Cheriffi, Gergely Palla, Boleslaw K. Szymanski and Xiaoyan Lu has been published in Applied Network Science today

Dec. 17, 2019: The paper titled "On community structure in complex networks: challenges and opportunities," by Hocine Cherifi, Gergely Palla, Boleslaw K. Szymanski, and Xiaoyan Lu has been published in Applied Network Science vol. 4:117 (2017). (more)

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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)