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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Alaa Mousawi presented a talk on "CARP Model for Multi-Risk Dynamics" authored by him, Xiang Niu, Noemi Derzsy, Xin Lin, Gyorgy Korniss, Boleslaw K. Szymanski at APS March Meeting 2018 in Los Angeles, CA.

Mar. 07, 2018: Alaa Mousawi presented today a talk on "CARP Model for Multi-Risk Dynamics" authored by him, Xiang Niu, Noemi Derzsy, Xin Lin, Gyorgy Korniss, Boleslaw K. Szymanski at APS March Meeting 2018 in Los Angeles, CA. Surprisingly little is known about how risk materializations in distinct domains influence each other. (more)

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The research of Heng Ji and Boleslaw Szymanski of NEST Center together with colleagues from ARL, Notre Dame and UIUC creates foundation for social sensing as a scientific discipline

Mar. 06, 2018: Referring to the recently accepted paper in the IEEE Computer, the Army Research Laboratory states in their website article; that Army and university scientists are turning to problems with social media to create social sensing as a scientific discipline. (more)

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A joint DARPA grant for the UIUC and the NEST Center researchers discussed in the ICS@Illionis News

Feb. 25, 2018: Professors Tarek Abdelzaher (PI), Jiawei Han (co-PI) and David Nicol (co-PI) from the University of Illinois Urbana-Champaign, IL jointly with Professors Boleslaw Szymanski (PI) and Gyorgy Korniss (co-PI) from the NEST Center at RPI, are studying how information propagates through social media and the effects that information has on people’s beliefs as it moves. (more)

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A paper entitled "Fast and accurate detection of spread source in large complex networks" by Robert Paluch, Xiaoyan Lu, Krzysztof Suchecki, Bolesław K. Szymański, & Janusz A. Hołyst was published by Scientific Reports.

Feb. 06, 2018: A paper entitled "Fast and accurate detection of spread source in large complex networks" by Robert Paluch, Xiaoyan Lu, Krzysztof Suchecki, Bolesław K. Szymański, & Janusz A. Hołyst was published by Scientific Reports, 8:2508, Feb. 6, 2018. (more)

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The paper entitled "The Age of Social Sensing," Dong Wang, Boleslaw K. Szymanski, Tarek Abdelzaher, Heng Ji, and Lance Kaplan has been accepted for publication by IEEE Computer.

Feb. 03, 2018: The paper entitled "The Age of Social Sensing," Dong Wang, Boleslaw K. Szymanski, Tarek Abdelzaher, Heng Ji, and Lance Kaplan has been accepted for publication by IEEE Computer. (more)

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Prof. Boleslaw Szymanski presented a lecture "Failures, Dynamics, Evolution and Control of the Global Risk Network" at the Network Science Institute in Boston.

Jan. 30, 2018: Prof. Boleslaw Szymanski presented a talk in the 3rd Annual Network Science Distinguished Speaker Lecture Series hosted by Network Science Institute at Northeastern University in Boston MA. (more)

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A paper on The Investigation of Social Media Data Thresholds for Opinion Formation Asher, D., Caylor, J., Mittrick, M., Richardson, J., Heilman E., Bowman, E, Korniss, G., Szymanski, B. was published in Proc. ICCRTS 2017.

Dec. 08, 2017: A paper entitled "The Investigation of Social Media Data Thresholds for Opinion Formation," by Asher, D., Caylor, J., Mittrick, M., Richardson, J., Heilman E., Bowman, E, Korniss, G., Szymanski, B. has been published in Proc. 22nd International Command and Control Research & Technology Symposium, ICCRTS, Nov. 6-8, Los Angeles, CA, paper 27. (more)

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A paper on Multilayer MANET Routing with Social-Cognitive Learning co-authored by B. Szymanski has been published in Milcom 2017. Baltimore, MD, October 23-25, 2017.

Dec. 08, 2017: A paper titled "Multilayer MANET Routing with Social-Cognitive Learning," by Yalin E. Sagduyu, Yi Shi, Tugba Erpek, Sohraab Soltani, Sharon J. Mackey, Derya H. Cansever, Mitesh P. Patel, Bart F. Panettieri, Boleslaw K. Szymanski, and Guohong Cao has been presented and published in Proc. International Conference on Military Communication, Milcom 2017. Baltimore, MD, October 23-25, 2017. (more)

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A paper on "Evolution of the Global Risk Network Mean-Field Stability Point," by X. Niu, A. Mousawi, N. Derzsy, X. Lin, G. Korniss and B.K. Szymanski has been published in Proc. 6th Int. Conf. Complex Networks Lyon, France Nov 29-Dec 1, 2017.

Dec. 08, 2017: A paper titled "Evolution of the Global Risk Network Mean-Field Stability Point," by Xiang Niu, Alaa Mousawi, Noemi Derzsy, Xin Lin, Gyorgy Korniss and Boleslaw K. Szymanski has been presented at the conference and published in Proc. 6th International Conference on Complex Networks and Their Applications, Complex Networks, Lyon, France Nov 29-Dec 1, 2017, Studies in Artificial Intelligence, vol. (more)

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A paper on Building Client’s Risk Profile Based on Call Detail Records by Z. Herga, C. Doyle, S. Dipple, C. Nasman, G. Korniss, B.K. Szymanski, J. Brank, J. Rupnik, and D. Mladenic has been published in Proc SiKDD, Oct. 8, 2017.

Dec. 08, 2017: A paper titled "Building Client’s Risk Profile Based on Call Detail Records" by Data collected from mobile phones can be used to uncover underlying social network dynamics and individual's behavioral patterns. Based on a Call Details Records dataset, we build a weighted, directed network and analyze it's properties. (more)