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We study the realizability of scale free-networks with a given degree sequence, showing that the fraction of realizable sequences undergoes two first-order transitions at the values 0 and 2 of the pow...
In recent years, community structure has emerged as a key component of complex network analysis.As more data has been collected, researchers have begun investigating changing community structure acros...
The spread of in uence in social networks is studied in two main categories: the progressive model and the non-progressive model (see e.g. the seminal work of Kempe, Kleinberg, and Tardos in KDD 2003)...
Structural controllability has been proposed as an analytical framework for making predictions regarding the control of complex networks across myriad disciplines in the physical and life sciences (Lu...
We give an intuitive though general explanation of the finitesize effect in scale-free networks in terms of the degree distribution of the starting network. This result clarifies the relevance of the ...
The actin cytoskeleton in living cells has many types of crosslinkers. The mechanical interplay between these different crosslinker types is an open issue in cytoskeletal mechanics. We develop a frame...
Traditionally, there is no evidence suggesting that there are strong ties between the rich-club property and the function of complex networks. In this study, we find that whether a very small portion ...
Understanding how far information, behaviors, or pathogens spread in social networks is an important problem, having implications for both predicting the size of epidemics, as well as for planning e e...
Network topology and its relationship to tie strengths may hinder or enhance the spreading of information in social networks. We study the correlations between tie strengths and topology in networks o...
One major function of social networks (e.g., massive online social networks) is the dissemination of information, such as scientific knowledge, news, and rumors. Information can be propagated by the u...
Networks arising from social, technological and natural domains exhibit rich connectivity patterns and nodes in such networks are often labeled with attributes or features. We address the question of ...
Robustness of two coupled networks system has been studied only for dependency coupling (S. Buldyrev et. al., Nature, 2010) and only for connectivity coupling (E. A. Leicht and R. M. D’Souza, arxiv:09...
We propose a generalized framework for the study of voter models in complex networks at the the heterogeneous mean-field (HMF) level that (i) yields a unified picture for existing copy/invasion proces...
Many networks are complex dynamical systems, where both attributes of nodes and topology of the network(link structure) can change with time. We propose a model of co-evolving networks where both nod...
We investigate how author name homonymy distorts clustered large-scale co-author networks, and present a simple, e ective, scal-able and generalizable algorithm to ameliorate such distortions. We eval...

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