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Structure and tie strengths in mobile communication networks
TLDR
It is found that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective, and this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities.
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Temporal Networks
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Intensity and coherence of motifs in weighted complex networks.
TLDR
This paper applies motif scores and clustering coefficient to financial and metabolic networks and finds that inclusion of weights may considerably modify the conclusions obtained from the study of unweighted characteristics.
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Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
TLDR
The time evolution of information propagation is followed through communication networks by using empirical data on contact sequences and the susceptible-infected model and introducing null models where event sequences are appropriately shuffled to distinguish between the contributions of different impeding effects.
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Analysis of a large-scale weighted network of one-to-one human communication
TLDR
A positive correlation between the overlap and weight of a link is reported, thus providing strong quantitative evidence for the weak ties hypothesis, a central concept in social network analysis.
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Temporal motifs in time-dependent networks
TLDR
The framework of temporal motifs is introduced to study the mesoscale topological–temporal structure of temporal networks in which the events of nodes do not overlap in time and a mapping from event sequences to coloured directed graphs is provided that enables an efficient algorithm for identifying temporal motifS.
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Persistence of social signatures in human communication
TLDR
A unique 18-mo dataset that combines mobile phone calls and survey data to track changes in the ego networks and communication patterns of students making the transition from school to university or work reveals that individuals display a distinctive and robust social signature, captured by how interactions are distributed across different alters.
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Sequential algorithm for fast clique percolation.
TLDR
A sequential clique percolation algorithm (SCP) is presented to do fast community detection in weighted and unweighted networks, for cliques of a chosen size and can simultaneously produce a dendrogram representation of hierarchical community structure.
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Generalizations of the clustering coefficient to weighted complex networks.
TLDR
A comparative study of the several suggestions of the clustering coefficient, which is one of the central characteristics in the complex network theory, is presented.
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Characterizing the Community Structure of Complex Networks
TLDR
A systematic empirical analysis of the statistical properties of communities in large information, communication, technological, biological, and social networks finds that the mesoscopic organization of networks of the same category is remarkably similar.
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