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Uncovering the Directional Heterogeneity of an Aggregated Mobile Phone Network
Author(s) -
Pei Tao,
Sobolevsky Stanislav,
Ratti Carlo,
Amini Alexander,
Zhou Chenghu
Publication year - 2014
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/tgis.12128
Subject(s) - vertex (graph theory) , mobile phone , phone , reciprocity (cultural anthropology) , computer science , geography , granularity , econometrics , cartography , telecommunications , statistics , mathematics , theoretical computer science , graph , psychology , linguistics , philosophy , social psychology , operating system
The aggregated mobile phone network ( AMPN ) (i.e. the calling time or numbers are aggregated at every vertex), which records the call volume between different places over time, has been studied extensively to reveal the mobility patterns of residents, etc. Nevertheless, most previous works were implemented based on the non‐directionality of the network model. This simplification may overlook some important characteristics of AMPN . To explore the AMPN as a directional network model, we introduce the concept of directional heterogeneity in the study of AMPN data. The heterogeneity is twofold: (1) the imbalance of vertex (difference between outgoing and incoming calls of the vertex); and (2) the reciprocity of each edge (difference between the directed weights of the same edge). Taking the data of S ingapore as an example, we systematically analyze the directional heterogeneity of AMPN . Our findings include three aspects. First, the AMPN shows as more unbalanced in the night‐time than in the daytime, and its imbalance decreases as vertex granularity increases. Second, the directional heterogeneity varied with locations. Specifically, the residential area is dominated by deficits and others by surpluses. Third, the trajectories of incoming and outgoing calls follow a similar geographical pattern (i.e. southeast‐north‐south‐north‐southeast), indicating the calling behavior and routine mobility of users over time and space.