Analysis of a large-scale weighted network of one-to-one human communication

Abstract

We construct a connected network of 3.9 million nodes from mobile phone call records, which can be regarded as a proxy for the underlying human communication network at the societal level. We assign two weights on each edge to reflect the strength of social interaction, which are the aggregate call duration and the cumulative number of calls placed between the individuals over a period of 18 weeks. We present a detailed analysis of this weighted network by examining its degree, strength, and weight distributions, as well as its topological assortativity and weighted assortativity, clustering and weighted clustering, together with correlations between these quantities. We give an account of motif intensity and coherence distributions and compare them to a randomized reference system. We also use the concept of link overlap to measure the number of common neighbors any two adjacent nodes have, which serves as a useful local measure for identifying

Co-Evolutionary Mechanisms of Emotional Bursts in Online Social Dynamics and Networks

“…Within this approach in the analysis of online social dynamics data, a variety of social networks were observed in relation with different online activities of users [12,15,16,27,30,[52][53][54][55][56]. Here, we use the accepted methods to construct and analyse the networks from the empirical data from Blogs and Chats; we demonstrate that, although in both systems no a priori associations among users exists and the networks grow starting from scratch, the networks that eventually emerge in these processes belong to two entirely different classes of social structures.…”

Geographical dispersal of mobile communication networks

“…To do so, we construct a network where the nodes are the customers of a mobile phone company and the links represent calls between these customers. Let us stress that it is increasingly popular to study mobile phone data in order to explore large-scale social systems and to reveal how individuals interact with each other [24,25,26,27]. It seems obvious that in such a network the geographical location of the individuals is an important communication factor [28].…”

k-Clique Percolation and Clustering

“…The results in [60,61,34] (described partly in this section) also inspired a couple of new models for the development of social networks [81,48,35]. In the works of Toivonen et.…”

“…Nowadays, due to the rapid developments in computer technology, new possibilities opened up for the exploration of social ties, enabling the construction of networks on a much larger scale. A prominent example of this is given in [60,61], where a network consisting of more than 4·10 6 customers of a mobile phone company is analysed (the edges represent mutual calls between the people).…”