Overview Of Various Overlapping Community Detection Approaches

نویسنده

  • Pooja Chaturvedi
چکیده

With the advancement in technology, we are surrounded with huge amount of data, which need to be processed in some manner for further processing. For this purpose, we may combine the Data Mining Techniques with the concepts of Graph Theory. Real world systems may be represented as Graphs. For example: Social Networks may be depicted as graph with the people as nodes and their relationships represented as links. Community Structure has been found as an important property of these systems. In simple words we can define community structure as a connected sub-graph which is tightly connected within the subgroups and weakly connected within the subgroups. Various algorithms have been proposed till now to identify and detect these community structures. In this paper we will provide the overview of some approaches which identify the overlapping communities i.e. communities that may belong to more than one subgroups. Keywords-Complex Networks,Community Structure,Overlapping Community.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detecting Overlapping Communities in Social Networks using Deep Learning

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...

متن کامل

Overlapping Community Detection in Social Networks Based on Stochastic Simulation

Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...

متن کامل

Mining Overlapping Communities in Real-world Networks Based on Extended Modularity Gain

Detecting communities plays a vital role in studying group level patterns of a social network and it can be helpful in developing several recommendation systems such as movie recommendation, book recommendation, friend recommendation and so on. Most of the community detection algorithms can detect disjoint communities only, but in the real time scenario, a node can be a member of more than one ...

متن کامل

A Survey on Modularity based Overlapping Community Detection Techniques in Social Networks

Social Network is widely popular data mining domain in the field of research. Social network analysis combines the various fields namely sociology, anthropology, social psychology, sociolinguistics etc. Some characteristics that differentiates social network from real network are user-based, interactive, communitydriven, relationships and emotion expression. Most of social networks exhibits the...

متن کامل

Detection of Overlapping Communities in Social Network

Community detection in a social network is an emerging issue in the study of network system as it helps to realize the overall network structure in depth. Communities are the natural partition of network nodes into subgroups where nodes within the subgroup are densely connected but between the subgroups connections are sparser. Real world networks, including social networks have been found to p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012