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 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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Prof. Boleslaw K. Szymanski is an invited speaker at the 12th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS to be held on September 10-13 in Lublin, Poland.

Feb. 27, 2017: The PPAM 2017 conference, twelfth in a series, will cover topics in parallel and distributed computing, including theory and applications, as well as applied mathematics. (more)

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Dr. Piotr Brodka presented a talk on “Current Challenges in the Area of Spreading Processes in Multilayer Networks”

Feb. 27, 2017: On February 23, 2017, Dr. Piotr Brodka while visiting RPI within the RENOIR project (http://renoirproject.eu/) presented a talk on “Current Challenges in the Area of Spreading Processes in Multilayer Networks”. The spreading processes in complex network and multilayer complex networks are among the fastest developing topics in modern network science. (more)

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A paper on "Identifying Spatial Buddies to Track Lost Items" by Eyuphan Bulut and Boleslaw K. Szymanski has been accepted for 2017 Workshop on SocialSens

Feb. 24, 2017: The authors study the tracking of lost objects through the collaboration among users. They analyze the visit patterns of users at the same locations and develop a metric that quantifies for each user the potential benefit of others in terms of their capability of finding that user’s lost objects. (more)

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Prof. Boleslaw Szymanski presented a talk on "Social Networks and Influence through the Prism of Cognition" at the seminar at the Department of Cognitive Sciences at RPI.

Feb. 09, 2017: On February 8, 2017, Prof. Boleslaw Szymanski presented a talk on "Social Networks and Influence through the Prism of Cognition" at the research seminar of the Department of Cognitive Sciences at RPI. Prof. Szymanski discussed ties in social networks that are often represented as unweighted solid lines. Yet, human social interactions are driven by temporary events such as meeting and talking to people, exchanging information, or watching the news. Those events leave decaying-in-time traces in the human memory. The derived from such traces personal perception of the relevant events, rather than events themselves, drives human decisions and social interactions. (more)

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The paper on "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 has been accepted to Scientometrics, vol. 23, 2017.

Feb. 09, 2017: The present work focuses on tracking evolution of collaboration among researchers on leishmaniasis, a neglected disease associated with poverty. Our results show that network analysis metrics can bring evidence of evolution of collaboration between different research groups within a specific research area and that those areas have subnetworks that influence collaboration structures and focus. (more)

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The paper entitled "The impact of variable commitment in the Naming Game on consensus formation," by Xiang Niu, Casey Doyle, Gyorgy Korniss and Boleslaw K. Szymanski has been published in Scientific Reports 7, 41750, 2017 doi: 10.1038/srep41750

Feb. 03, 2017: The paper is available on Scientific Report site and at http://www.cs.rpi.edu/~szymansk/papers/srep41750.pdf. The authors study the effect of making commitment variable has on the dynamics of the system. Committed nodes are assigned a commitment strength, w, defining their willingness to lose (in waning), gain (for increasing) or both (in variable) commitment to an opinion. (more)