Modeling micro-blog network structure based on combination of online communities

Micro-blog network can spread information faster and more widely than ever in a new emerged style and the spread mechanism of micro-blog network is of great importance to guide public opinion. At the same time, the structure of micro-blog network is one of the basic issues of the spread mechanism research of micro-blog network. This paper discusses how to model and simulate micro-blog´s structure by core-periphery model, proposes a novel clustering coefficient communities combination model with the assumption that there are merely two types of users in micro-blog: opinion leaders and common members. One opinion leader and related common members form a micro-blog unit. These units with their key connections can be deemed as a micro-blog network model named as LM (Leader-Members) model. This paper also gives an improved LM model that involved user behavior and direction of connections. According to the experimental data, this model depicts well about the small world and scale-free properties of micro-blog network.