Community evolution in a scientific collaboration network

Nguyen, Minh Van; Kirley, Michael; García-Flores, Rodolfo

doi:10.1109/cec.2012.6256434

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…is used by authors in [14,21,22,23], even though it may be named differently in some cases. In [31] authors use different measures depending on event, such as the ratio of the size of the intersection to the size of the largest community, basically a measure of dilution, to determine whether a community is born or vanished, or the relative size of the proper subset of a community in a subsequent timestep to determine continuation.…”

Section: Related Workmentioning

confidence: 99%

Community identity in a temporal network: A taxonomy proposal

Pereira

Lopes

Louçã

2021

Ecological Complexity

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Section: Related Workmentioning

confidence: 99%

Community identity in a temporal network: A taxonomy proposal

Pereira

Lopes

Louçã

2021

Ecological Complexity

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“…Most real networks -such as Web networks [3], social networks [4], communication networks [5], biological networks [6] and financial networks [7] -evolve in different ways. Generally, the analysis of evolving networks can be divided into three categories [8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of evolutionary stability of funds flows in financial networks

Yang

Liu

et al. 2015

2015 IEEE Congress on Evolutionary Computation (CEC)

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Recently, there has been much more attention focusing on the evolving networks, whose application domains include Web networks, social networks, communication networks and etc. In this paper, we focus on a financial network, where nodes represent participants of a financial market. Due to lending activities, funds are transferred from one participant to another, and credit-debt relationships between them are formed. With repeated activities, flows of funds are shown in a financial network. We analyze the evolution of funds flows based on evolutionary game theory. Using Lyapunov stability method, we prove that funds flows converge to a relatively stable state, and prove a bound on the convergence time. Finally, we design an ant colony optimization algorithm for a financial network, and use experiments to simulate the evolving process of funds flows.

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“…Community structures are the natural properties of social networks [1][2][3][4][5], which evolves with the network structures changing [6][7][8][9][10][11]. Detecting community structures in dynamic networks [12][13][14][15][16] has attracted much attention.…”

Section: Introductionmentioning

confidence: 99%

Evolution properties of the community members for dynamic networks

Yang

Guo

et al. 2017

Physics Letters A

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The collective behaviors of community members for dynamic social networks are significant for understanding evolution features of communities. In this Letter, we empirically investigate the evolution properties of the new community members for dynamic networks. Firstly, we separate data sets into different slices, and analyze the statistical properties of new members as well as communities they joined in for these data sets. Then we introduce a parameter ϕ to describe community evolution between different slices and investigate the dynamic community properties of the new community members. The empirical analyses for the Facebook, APS, Enron and Wiki data sets indicate that both the number of new members and joint communities increase, the ratio declines rapidly and then becomes stable over time, and most of the new members will join in the small size communities that is s ≤ 10. Furthermore, the proportion of new members in existed communities decreases firstly and then becomes stable and relatively small for these data sets. Our work may be helpful for deeply understanding the evolution properties of community members for social networks.

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Community evolution in a scientific collaboration network

Cited by 7 publications

References 20 publications

Community identity in a temporal network: A taxonomy proposal

Community identity in a temporal network: A taxonomy proposal

Analysis of evolutionary stability of funds flows in financial networks

Evolution properties of the community members for dynamic networks

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