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 entitled, "Balancing Speed and Coverage by Sequential Seeding in Complex Networks," by J. Jankowski, P. Brodka, P. Kazienko, B. K. Szymanski, R. Michalski and T. Kajdanowicz has been published in Scientific Reports 7:891, April 18, 2017.

Apr. 18, 2017: The paper entitled "Balancing Speed and Coverage by Sequential Seeding in Complex Networks," by J. Jankowski, P. Brodka, P. Kazienko, B. K. Szymanski, R. Michalski and T. Kajdanowicz has been published in Scientific Reports 7:891, April 17, 2017. (more)

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The Report from Network Science Workshop held in Arlington last year lists the RPI center NEST, with its important part SCNARC, as the third oldest academic center in the US focusing on network science, see link for details

Apr. 14, 2017: Thanks to the Report from Network Science Workshop held in Arlington, VA in November, 2000, we learned that our center NEST, created jointly with its important part SCNARC in 2009, is the third oldest academic center in the U.S. (together with two other centers created that year) focusing on network science. (more)

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The paper entitled, "Assortative Mating: Encounter-Network Topology and the Evolution of Attractiveness" by S. Dipple, T. Jia, T. Caraco, G. Korniss, and B.K. Szymanski has been published in Scientific Reports 7:45107, 2017.

Mar. 29, 2017: The paper entitled, "Assortative Mating: Encounter-Network Topology and the Evolution of Attractiveness" by S. Dipple, T. Jia, T. Caraco, G. Korniss, and B.K. Szymanski has been published in Scientific Reports 7:45107, 2017. (more)

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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 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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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)