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 "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)

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Today, Prof. Boleslaw K. Szymanski presented a talk entitled "Finding Efficient Spreaders for Information Diffusion in Social Networks," at the Department of Computer Science a the University of California, Santa Barbara.

Nov. 08, 2018: Today, Prof. Boleslaw K. Szymanski presented a talk entitled "Finding Efficient Spreaders for Information Diffusion in Social Networks," at the Department of Computer Science a the University of California, Santa Barbara. The talk focuses on recent global events and their poor predictability are often attributed to the complexity of the world event dynamics. (more)

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Prof. Petko Bogdanov presented a talk on "Treating time as a first-class citizen in dynamic graph mining" hosted by Boleslaw Szymanski at the joint colloquium of CS Department and NEST Center

Oct. 30, 2018: Prof. Petko Bogdanov of University at Albany, SUNY presented a talk entitled "Treating time as a first-class citizen in dynamic graph mining" hosted by Boleslaw Szymanski at the joint colloquium of Department of Computer Science and NEST Center on October 29, 2018. (more)

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A paper entitled "Entropy Measures of Human Communication Dynamics," by Marcin Kulisiewicz, Przemyslaw Kazienko, Boleslaw K. Szymanski, and Radoslaw Michalski was published by Scientific Reports, 8:15697. Oct., 2018.

Oct. 28, 2018: A paper entitled "Entropy Measures of Human Communication Dynamics," by Marcin Kulisiewicz, Przemyslaw Kazienko, Boleslaw K. Szymanski, and Radoslaw Michalski was published by (more)

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Paper on "Integrative Analytics for Detecting and Disrupting Transnational Interdependent Criminal Smuggling, Money, and Money-Laundering Networks," co-authored by Thomas Sharkey and Boleslaw K. Szymanski got the best paper award at the HST'18 conference.

Oct. 25, 2018: The paper entitled "Integrative Analytics for Detecting and Disrupting Transnational Interdependent Criminal Smuggling, Money, and Money-Laundering Networks," by Ashwin Bahulkar, (more)

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Boleslaw K. Szymanski participated an invitational workshop organized by Amazon on October 17 in Seattle titled “All Boats Rise? Social Capital, Promise and Peril” in a session titled “No One is an (I) Land.”

Oct. 18, 2018: Boleslaw K. Szymanski participated an invitational workshop organized by Amazon on October 17 in Seattle titled “All Boats Rise? Social Capital, Promise and Peril” in a session titled “No One is an (I) Land.” At the meeting, Prof. (more)

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