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Copyright (c) 2013, Yi Qian and Sibel Adali
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Any publication resulting from the use of this work must cite the following publication :
Y. Qian and S. Adali, "Extended Structural Balance Theory for Modeling Trust in Social Networks", accepted to PST2013 Conference on Privacy, Security and Trust, 2013
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
MDS based Converged Model
The SM/SG is implemented in Matlab. See ReadMe in MDS_Sparse/ for detailed instruction.
Stylized networks illustrate the transitivity and aggregation effects of social network convergence. Run SM/SG on stylized networks by the following line.
mds_sparse('transitivity1.txt',2,pwd)
where 'transitivity1.txt' is the input file
2 is the dimensionality
pwd is the output path
The output file will be named by 'loc_transitivity1.txt'. To see the visualization of the converged layout. Run nodesPlot.py in Plots/ by:
python nodesPlot.py loc_transitivity1.txtAbout
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