复杂网络中的社团发现对揭示网络的结构和功能之间的联系有着重要的意义。
Detecting community structure is crucial for uncovering the links between structures and function in complex networks.
目前的大多数算法都采用了将模块度作为优化目标，进而将社团发现问题转化为优化模块度的问题。
Many recent algorithms use the network modularity as quality metric, which turns the Community Detection into an optimization problem.
建立一个社团，让大家彼此激励是你发现个人平衡的重要方式。
P.S. Building a community and motivating each other is an important part of finding your personal balance.
以我自己为例，我们回国后，基本上是一个人都不认识，我们发现大儿子学校的家长社团是我们感到最容易融入的圈子。
In our case, we knew pretty much nobody when we got back and we found that the fellow parent community at our older son's school was the community we connected to best.
他们发现他们的社团成员被大量的杀害。他们的教堂被多次攻击，而他已经说不清有多少朋友和家人被杀害或者被绑架。
Their church was attacked on several occasions, and he lost count of how many friends and family members were killed or kidnapped.
找来的“空降兵”想让这艘船继续起航，却发现有些事情出乎意料：这个20世纪早期的社团主义官僚机构虽然保存完好，却几乎不发挥作用。
Outsiders called in to refloat the ship found something unexpected: a perfectly-preserved but barely functioning example of early 20th-century corporatist bureaucracy.
布兰迪还发现在体育活动和课后社团方面也面临着挑战。
Brady has also found challenges with athletics and after-school clubs.
这样，看起来一个已确立的恒河猴社团的成员们遵循着这样一条规则：攻击那些发现食物而不与大家分享的成员。
Thus, it seemed that members of an established rhesus community abide by a rule that says: Attack members that find food and don't share it.
通过对大量的语料分析发现，汉语网聊词汇以其独特的方式反映了网民社团的语言知识、经验水平及其思维方式，体现在以下几个方面。
Through a qualitative analysis, we find that Netspeak vocabulary reflects by its unique way netizens' knowledge of language, experience level and way of thinking as follows.
她到社团后，发现社团有些很酷的人，活动也很有趣。
She went to the club and found out that there were some really cool people in the club and that the activities were fun.
近年来，以交互作用图建模并通过各种图聚类技术发现复杂网络内部隐含的社团结构已成为研究热点。
In recent years, it is becoming popular that modeling by interaction networks and finding the internal social structure from the complex networks by graph clustering method.
近年来，以交互作用图建模并通过各种图聚类技术发现复杂网络内部隐含的社团结构已成为研究热点。
In recent years, it is becoming popular that modeling by interaction networks and finding the internal social structure from the complex networks by graph clustering method.
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