 Classical approaches for community detection usually deal only with the structure of the network and ignore features of the nodes , although major real-world  networks provide additional actors' information such as age, gender, interests, etc. , traditionally called node attributes. It is known that the attributes may clarify and enrich the knowledge about the actors and give sense to the detected communities.
<clarity>  Classical approaches for community detection usually deal only with the structure of the network and ignore features of the nodes , although major real-world  networks provide additional actors' information such as age, gender, interests, etc. , traditionally called node attributes. It is known that the attributes may clarify and enrich the knowledge about the actors and give sense to the detected communities.
 Classical approaches for community detection usually deal only with the structure of the network and ignore features of the nodes , although major real-world networks provide additional actors' information such as interests. It is believed that the attributes may clarify and enrich the knowledge about the actors and give sense to the detected communities.