Social media embeddedness relationships consist of online social networks formed by self-
organized individual actors and significantly affect many aspects of our lives. Since the high …

This paper discusses the bias problem when estimating the population size of big data such
as online social networks (OSN) using uniform random sampling and simple random walk …

In recent years, online social networks (OSN) have emerged as a platform of sharing variety
of information about people, and their interests, activities, events and news from real worlds …

Many ant species employ distributed population density estimation in applications ranging
from quorum sensing [21], to task allocation [9], to appraisal of enemy colony strength [1]. It …

Recently, studying social networks plays a significant role in many applications of social
network analysis, from the studying the characterization of network to that of financial …

Since online social networks usually have quite huge size and limited access, smaller
subgraphs of them are often produced and analysed as the representative samples of …

Random walks form a critical foundation in many social network based security systems and
applications. Currently, the design of such social security mechanisms is limited to the …

Weibo is the Twitter counterpart in China that has attracted hundreds of millions of users. We
crawled an almost complete Weibo user network that contains 222 million users and 27 …

Many online networks are not fully known and are often studied via sampling. Random Walk
(RW) based techniques are the current state-of-the-art for estimating nodal attributes and …

Graph sampling plays an important role in data mining for large networks. Specifically, larger
networks often correspond to lower sampling rates. Under the situation, traditional traversal …