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 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. Depending on the predicted benefits, each user’s preference list of other users is formed and then utilized to identify the space buddies who can best track her lost items. The proposed system was applied to two different location based social network datasets and showed its effectiveness in different settings. (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)

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Full-time tenure-track faculty position in computational network science

Nov. 17, 2016: The Department of Computer Science at Rensselaer Polytechnic Institute, Troy, NY invites applications for a full-time tenure-track faculty position at the level of Assistant Professor in the area of network science defined broadly as the study of general network processes and network structure. More details at the link below... (more)

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A seminar on Information Diffusion On and Off Line, presented by Dr. Bruno Goncalves of New York University.

Nov. 17, 2016: Dr. Bruno Goncalves of New York University presented a SCNARC seminar titled "Information Diffusion On and Off Line" on October 20, 2016. (more)

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A seminar on Cross-lingual World Events presented by Prof. Dunja Mladeva and Dr. Gregor Leban, Jozef Stefan Institute, Ljubljana, Slovenia

Nov. 17, 2016: Prof. Dunja Mladena and Dr. Gregor Leban of Jozef Stefan Institute, Ljubljana Slovenia, presented a SCNARC seminar titled "Cross-lingual World Events" on October 4, 2016. Prof. Mladena visited SCNARC with a group of scientists from her Laboratory at Jozef Stefan Institute and Jozef Stefan International Postgraduate School. The visit was a part of international collaborative EU Grant, Renoir. (more)

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A seminar on Cyberemotions presented by Prof. Janusz Holyst, Warsaw Polytechnic Institute

Nov. 17, 2016: Prof. Janusz Holyst, Warsaw Polytechnic Institute, Poland, presented a SCNARC seminar titled "Detecting and modelling of collective emotions in on-line communities" on September 1, 2016. Prof. Holyst visited SCNARC with a group of scientists from his Laboratory in the Department of Physics. The visit was a part of international collaborative EU Grant, Renoir. (more)

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The collaborative paper on Information Cascades in Feed-based Networks has been accepted for publcation in IEEE Trans. on Network Science and Egnineering

Oct. 28, 2016: The collaborative paper titled "Information Cascades in Feed-based Networks of Users with Limited Attention," by Sameet Sreenivasan, Kevin S. Chan, Ananthram Swami, Gyorgy Korniss and Boleslaw Szymanski has been accepted for publication in IEEE Transaction on. Network Science and Engineering, 4 (2017) (more)

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Paper on Synergy system accepted for publication in Applied Network Science

Oct. 28, 2016: The paper titled "Supporting novel biomedical research via multilayer collaboration networks," by Konstantin Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee, Juntao Zhuang, Chris Gaiteri and Boleslaw K. Szymanski has been accepted for publication in Springer journal Applied Social Networks 1, 2016. The preprint is available at http://www.cs.rpi.edu/~szymansk/papers/synergy-apns.pdf (more)