def T1(ds1_path, ds2_path, year, k):
year_graph = gr.YearGraph(ds1_path, ds2_path, year)
year_graph.read()
year_graph.weights_fraction_cocitations()
year_graph.build_ds1_graph()
metrics = me.Metrics(year_graph)
metrics.metrics_preprocessing()
metrics.pagerank(k)
models = sp.SpreadOfInfluenceModels(year_graph, metrics.get_top_k_nodes())
models.spread_preprocessing()
models.threshold_deg()
models.tipping_model()
ov_top = ov.OverlapTopics(year_graph, models.get_influenced_nodes(), k)
ov_top.overlap_preprocessing()
ov_top.clique_percolation_method()
ov_top.check_number_topics()
ov_top.check_spread_topics()
return ov_top.get_topics()
if results.ds2_path:
ds2_path = results.ds2_path
if results.out and not results.s:
raise parser.error(
"Must to specify the save flag with the output path: -s.")
if results.out:
output_sample_path = results.out
#Save file flag
if results.s:
save_logs = True
#Building graph, with weights calculation strategy or not
year_graph = gr.YearGraph(ds1_path, ds2_path, y)
year_graph.read()
year_graph.weights_fraction_cocitations()
year_graph.build_ds1_graph()
metrics = me.Metrics(year_graph)
metrics.metrics_preprocessing()
metrics.pagerank(k)
models = sp.SpreadOfInfluenceModels(year_graph, metrics.get_top_k_nodes())
models.spread_preprocessing()
if t == 0:
models.threshold_deg()
threshold = "degree"
if results.ds1_path:
ds1_path = results.ds1_path
if results.ds2_path:
ds2_path = results.ds2_path
if results.out:
output_sample_path = results.out
#weights histogram plotting control and setting
if results.plot:
plot_show_flag_histogram = False
#Building and plotting of the histogram
year_graph = gr.YearGraph(ds1_path, ds2_path, results.y)
year_graph.read()
if results.weights == 'frac':
year_graph.weights_fraction_cocitations()
elif results.weights == 'num':
year_graph.weights_number_cocitations()
elif results.weights == None:
raise parser.error("The -w WEIGHT options must be specified.")
else:
raise arg.ArgumentTypeError("Option value not valid.")
if plot_show_flag_histogram: