Infomap算法支持检测加权有向图的最佳参数是什么？

Question

我正在尝试使用Infomap算法，使用python来检测英国铁路网中的社区，我已经成功地在不考虑权重的情况下使用了它（权重是整个链接中的旅行者数量），我想考虑权重来做这件事

我试过了，但我不确定参数是否正确

这是未加权版本的代码：

infomap_wrapper = infomap.Infomap("--two-level --directed --teleportation-probability 0.07 --markov-time 6")

infomap_wrapper

# Build infomap graph
__nodes = communities_graph.nodes()
__nodenametointeger = dict(zip(__nodes, range(0, len(__nodes))))

# Convert named stations to integers
for u, v in communities_graph.edges():
    u_, v_ = __nodenametointeger[u], __nodenametointeger[v]
    infomap_wrapper.addLink(u_, v_)

# Run the infomap algorithm
infomap_wrapper.run()

# Extract the communities
tree = infomap_wrapper.iterTree()

# print("Found %d top modules with codelength: %f" % (tree.numTopModules(), tree.codelength()))

infomap_communities = {}
for node in tree:
#     print(node.id(), node.moduleIndex())
    infomap_communities[node.id()] = node.moduleIndex()

infomap_communities_fixed = [set() for _ in range(max(infomap_communities.values()) + 1)]
__integertonodename = { v:k for k, v in __nodenametointeger.items() }

for node, comm in infomap_communities.items():
    infomap_communities_fixed[comm] = infomap_communities_fixed[comm].union({__integertonodename[node]})

这是加权版本：

# https://www.mapequation.org/code.html#Tuning
infomap_wrapper = infomap.Infomap("--two-level --directed --teleportation-probability 0.095 --markov-time 25")

# Build infomap graph
__nodes = communities_graph.nodes()
__nodenametointeger = dict(zip(__nodes, range(0, len(__nodes))))

# Convert named stations to integers
# Use weight parameter
for u, v, data in communities_graph.edges(data=True):
    u_, v_ = __nodenametointeger[u], __nodenametointeger[v]
    infomap_wrapper.addLink(u_, v_, weight=float(data['weight']))

# Run the infomap algorithm
infomap_wrapper.run()

# Extract the communities
tree = infomap_wrapper.iterTree()

infomap_communities = {}
for node in tree:
    infomap_communities[node.id()] = node.moduleIndex()

# Improve the extracted communities
infomap_communities_fixed = [set() for _ in range(max(infomap_communities.values()) + 1)]
__integertonodename = { v:k for k, v in __nodenametointeger.items() }

for node, comm in infomap_communities.items():
    infomap_communities_fixed[comm] = infomap_communities_fixed[comm].union({__integertonodename[node]})

infomap_labels = make_labels(communities_graph, infomap_communities_fixed)

没有错误，似乎是工作，但我要确保我的参数是正确的，我怎么能呢