Concept spread results for 2 concept environments

<p>Raw data for multiple concepts spreading within a network.</p> <p> </p> <p>We have two concepts spreading, Concept 0, which is our target concept, and Concept 1 which is the concept that we can control.</p> <p>Concept 0 selects its seeds randomly.</p> <p>Concept 1 selects seeds based on chosen heuristic.</p> <p> </p> <p>Heuristics have a number ID for ease of labelling files. The following numbers are used within this data:</p> <p>0 - Random selection</p> <p>2 - Single Discount</p> <p>3 - Degree</p> <p>9 - Degree Discount</p> <p>16 - MPG</p> <p>17 - MoBoo</p> <p> </p> <p>File names follow this format:</p> <p>[number of seeds]_[number of nodes]_[heuristic number]_[Relationship strength * 10]_[average LT threshold * 10]_[IC probability of infection * 100]_[burn in time]_[run number]_[network type]_[network characteristic]_[controllable Concept]Boost[target Concept].txt</p> <p>So, for example, if we are performing run <strong>38</strong> on a <strong>25000</strong> node  <strong>small-world</strong> graph, with a seed set size of <strong>100</strong>, clustering exponent of <strong>0.25</strong>, burn in time of <strong>2</strong> time steps, the controllable concept selecting seeds using <strong>degree discount</strong>, both concepts using the<strong> independent cascade model</strong> of spread, with a probability of infection of <strong>0.1</strong>, a LTM average threshold of <strong>0.8</strong> and relationship strength of <strong>0.2 </strong>the file would be:</p> <p>100_25000_9_2_80_10_2_38_SW_25_ICBoostIC.txt</p> <p> </p> <p>Files follow this format:</p> <p>10 line preamble listing the parameters of the run/runs</p> <p>Dashed line break</p> <p>"Run #" where # is the current run number</p> <p>Time in milliseconds of start</p> <p>"Timestep n" - n starting at 0</p> <p>"Infections [conceptType]0: [Number of infected nodes in current time step for target]"<br> "Infections [conceptType]1: [Number of infected nodes in current time step for controllable]"</p> <p>These three lines repeat for each time step. Before a final result heading, with the final infections.</p> <p>Time in milliseconds that run ended.</p> <p>Dashed line divider.</p> <p>Then, if the file contains a single run the file will end or, if it contains multiple runs, will proceed to the next run.</p>