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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SCNARC Research Assistant, Mr. Ashwin Bahulkar, was selected by IBM for summer internship in IBM Research Center in Zurich, Switzerland in Summer 2017.

Mar. 28, 2017: SCNARC Research Assistant, Mr. Ashwin Bahulkar, was selected by IBM for summer internship in IBM Research Center in Zurich, Switzerland in Summer 2017. Mr. Bahulkar is advised by Prof. Boleslaw K. Szymanski and his Ph.D. thesis focuses on the evolution of social networks. (more)

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SCNARC Research Assistant, Mr. Partha Mukherjee, successfully defended his M.S. thesis advised by Prof. Boleslaw K. Szymanski entitled "Search Algorithms for Promotion of Novel Biomedical Research" on March 23, 2017.

Mar. 28, 2017: Mr. Partha Mukherjee successfully defended his M.S. thesis advised by Prof. Boleslaw K. Szymanski entitled "Search Algorithms for Promotion of Novel Biomedical Research" on March 23, 2017. The thesis contributes to a novel method for finding potential collaborators in the Synergy project and its underlying multi-layer network formed from the data in the PubMed database. (more)

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The paper on "Balancing Speed and Coverage by Sequential Seeding in Complex Networks", by J. Jankowski, P. Brodka, P. Kazienko, B. K. Szymanski et al. has been accepted for publication in Scientific Reports, vol. 7 2017.

Mar. 27, 2017: Information spreading in complex networks is often modeled as diffusing information with certain probability from nodes that possess it to their neighbors that do not. Information cascades are triggered when the activation of a set of initial nodes – seeds – results in diffusion to large number of nodes. (more)

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The paper titled "Network analysis to support public health: evolution of collaboration among leishmaniasis researchers", by Ricardo B. Sampaio, Bruna P.F. Fonseca, Ashwin Bahulkar, and Boleslaw K. Szymanski was posted on the website of Scientometrics

Mar. 27, 2017: The paper titled "Network analysis to support public health: evolution of collaboration among leishmaniasis researchers", by Ricardo B. Sampaio, Bruna P.F. Fonseca, Ashwin Bahulkar, and Boleslaw K. Szymanski was posted on the website of Scientometrics and will appear in an issue vol. (more)

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The paper on "Quantifying patterns of research-interest evolution" by Tao Jia, Dashun Wang, and Boleslaw K. Szymanski was published in Nature Human Behavior 1(4):0078, 2017

Mar. 22, 2017: The authors perform a large-scale analysis of publication records, and show that changes in research interests follow a reproducible pattern characterized by an exponential distribution. (more)

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The paper entitled "Mobile Energy Sharing through Power Buddies", by Eyuphan Bulut and Boleslaw K. Szymanski was presented by at the IEEE Wireless Communications and Networking Conference (WCNC) in San Francisco, CA on March 22, 2017

Mar. 22, 2017: The paper entitled Mobile Energy Sharing through Power Buddies, by Eyuphan Bulut, Boleslaw K. Szymanski was presented by authors at the IEEE Wireless Communications and Networking Conference (WCNC) in San Francisco, CA on March 22, 2017. (more)

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A paper on Predicting "Viral News Events in Online Media" by Xiaoyan Lu and Boleslaw K. Szymanski has been accepted for 2017 IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems (ParSocial 2017)

Mar. 07, 2017: The information diffusion and dissemination define critical dynamics observed in large complex networks. The underlying information propagation topology, however, is often hidden or incomplete because of the lack of explicit citations of the sources. (more)

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Thursday, March 9, 2017 Dr. Jonathan Z. Bakdash will present a talk at RPI on Human Machine Collarboration

Mar. 07, 2017: Dr. Jonathan Z. Bakdash is the Scientist at the Human Research and Experimentation Division of ARL at Aberdeen Proving Ground, Aberdeen, MA. Dr. Bakdash's talk on Human Machine Collaboration (also called Human Computer Collaboration and Human Agent Teaming) is a long-term R&D strategy and end-goal for the Department of Defense. (more)

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Prof. Boleslaw Szymanski presented a talk on "Algorithms for Robust Community Detection" at the University of Houston Department of Physics, March 3, 2017

Mar. 03, 2017: The talk describes two robust algorithms for community detection. The first targets communities arising in biological functions carried out by groups of interacting molecules, cells or tissues. These communities may overlap when biological components are involved in multiple functions. (more)

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