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 "What makes the social search efficient," by Amr Elsisy, Buster Holzbauer, Boleslaw K. Szymanski, Miao Qi, and Alex Pentland was posted in arXiv

Apr. 20, 2019: The paper titled "What makes the social search efficient," by Amr Elsisy, Buster Holzbauer, Boleslaw K. Szymanski, Miao Qi, and Alex Pentland was posted in arXiv. The paper  sheds a new light on social routing though friends of friends. (more)

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Today, Prof. Boleslaw K. Szymanski presented a talk titled "Finding Efficient Spreaders for Information Diffusion in Social Networks" at Google in Mountain View, CA.

Apr. 12, 2019: Today, Prof. Boleslaw K. Szymanski presented a talk titled "Finding Efficient Spreaders for Information Diffusion in Social Networks" at Google in Mountain View, CA. The research presented in the talk was inspired by recent global events and their poor predictability that are often attributed to the complexity of the world event dynamics. (more)

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A paper titled "Predicting complex user behavior from CDR based social networks," by Casey Doyle, Zela Herga Stephen Dipple, Boleslaw K. Szymanski, Gyorgy Korniss, Dunja Mladenić was posted on arXiv

Apr. 06, 2019: A paper titled "Predicting complex user behavior from CDR based social networks," by Casey Doyle, Zela Herga Stephen Dipple, Boleslaw K. Szymanski, Gyorgy Korniss, Dunja Mladenić was posted on arXiv. The paper uses Call Detail Record (CDR) datasets with information about personal interactions to support building and analyzing detailed empirical social networks. (more)

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A paper titled "The Age of Social Sensing," by Dong Wang, Boleslaw K. Szymanski, Tarek Abdelzaher, Heng Ji, and Lance Kaplan, was published in IEEE Computer, vol. 52(1), 2019.

Apr. 04, 2019: Online social media have democratized the broadcasting of information, encouraging users to view the world through the lens of social networks. The exploitation of this lens, termed social sensing, presents challenges for researchers at the intersection of computer science and the social sciences. (more)

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A paper titled "Influence Maximization for Fixed Heterogeneous Thresholds," by P. D. Karampourniotis, Boleslaw K. Szymanski and G. Korniss has been published today by Scientific Reports.

Apr. 03, 2019: A paper titled "Influence Maximization for Fixed Heterogeneous Thresholds," by P. D. Karampourniotis, B. K. Szymanski and G. Korniss has been published today by Scientific Reports, 9, 5573 (2019). (more)

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Xiaoyan Lu advised by Prof. Boleslaw Szymanski defended today successfully his thesis titled: "Community Detection and its Applications in Understanding Dynamics of Social Networks"

Mar. 27, 2019: Xiaoyan Lu,advised by Prof. Boleslaw Szymanski, defended today successfully his thesis titled: "Community Detection and its Applications in Understanding Dynamics of Social Networks," The Ph.d. Committed included Professors Malik Magdon-Ismail and Jianxi Gao from Computer Science and Gyorgy Korniss from Physics. (more)

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A paper titled "Asymptotic resolution bounds of generalized modularity and statistically significant community detection," by Xiaoyan Lu and Boleslaw K. Szymanski has been posted on arxiv

Feb. 17, 2019: The paper generalizes inference algorithms to search not only for assortative communities but also for disassortative clustering. The maximization of generalized modularity performs well on networks in which the members of all communities are statistically indistinguishable from each other. (more)

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A paper titled "Opinion Formation Threshold Estimates from Different Combinations of Social Media Data-Types," co-authored by Casey Doyle, G. Korniss, and Boleslaw K. Szymanski of NEST was published in Proc. HICSS 2019.

Jan. 11, 2019: A paper titled "Opinion Formation Threshold Estimates from Different Combinations of Social Media Data-Types," co-authored by Derrik E. Asher, Justine Caylor, Casey Doyle, Alexis R. Neigel, G. Korniss, and Boleslaw K. Szymanski was published in Proc. 52nd Hawaii International Conference on System Sciences (HICSS 2019), Grand Wailea, HI, Jan 8-11, 2019. (more)

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A paper titled "A Predictive Self-Configuring Simulator for Online Media" co-authored by NEST James Flamino and Boleslaw K. Szymanski was published in Proc. IEEE WSC 2018.

Jan. 09, 2019: A paper titled "A Predictive Self-Configuring Simulator for Online Media" co-authored by Tarek Abdelzaher, Yifan Hao, Dongxin Liu, Shengzhong Liu, Huajie Shao, Shuochao Yao, James Flamino and Boleslaw K. Szymanski was published in Proceedings of the 2018 Winter Simulation Conference, Gothenburg, Sweden, December 9-12, 2018, by IEEE Press. (more)

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Prof. Shlomo Havlin presented a joint NEST Center and Computer Science colloquium on Cascading Failures and Recovery in Networks of Networks at RPI on December 13, 2018

Dec. 20, 2018: Prof. Shlomo Havlin of Bar-Ilan University, Ramat-Gan, presented a joint NEST Center and Computer Science colloquium entitled Cascading Failures and Recovery in Networks of Networks at RPI on December 13, 2018. The event was co-organized by Prof. Jianxi Gao and Boleslaw K. Szymanski of NEST and the Department of Computer Science at RPI. (more)