More graph saving.

    stat_dict['target'] = topic_name

    print('[a]', 'Counting nodes and edges.\t('+topic_name+')')    

    node_freq_dict, edge_freq_dict = frequencies(topic_name, result_list)

    #Check if frequencies were already counted before.

    node_dict_name = topic_name+'_node.json'

    edge_dict_name = topic_name+'_edge.json'

    graph_in_existence = False

    for graph_name in os.listdir(config.graph):

        if topic_name in graph_name:

            graph_in_existence = True

            with open(config.graph+node_dict_name, 'r') as node_file, open(config.graph+edge_dict_name, 'r') as edge_file:

                node_freq_dict = json.load(node_file)

                edge_freq_dict = json.load(edge_file)

            continue

    if graph_in_existence == False:

        node_freq_dict, edge_freq_dict = frequencies(target_string, result_list)

        with open(config.graph+node_dict_name, 'w') as node_file, open(config.graph+edge_dict_name, 'w') as edge_file:

            node_file.write(json.dumps(node_freq_dict))

            edge_file.write(json.dumps(edge_freq_dict))

    #builds graph from these dictionaries, also applies multiple filters

    print('[a]', 'Building graph.\t('+topic_name+')')