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Found 10 papers, 5 papers with code
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection
Our findings reveal that the average modularity-based heuristic yields optimal partitions in only 43. 9% of the 104 networks analyzed.
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Additionally, results on adjusted mutual information reveal substantial dissimilarity between the sub-optimal partitions and any optimal partition of the networks in our experiments.
The Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity
Community detection is a classic problem in network science with extensive applications in various fields.
Return migration of German-affiliated researchers: Analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996-2020
Moreover, we find that the gender disparities for the most gender imbalanced disciplines are unlikely to be mitigated by return migration given the gender compositions of the cohorts of researchers who have left Germany and of those who have returned.
Brain Drain and Brain Gain in Russia: Analyzing International Migration of Researchers by Discipline using Scopus Bibliometric Data 1996-2020
We study international mobility in academia, with a focus on the migration of published researchers to and from Russia.
Digital Libraries Computers and Society Social and Information Networks Physics and Society K.4; J.4
Multilevel Structural Evaluation of Signed Directed Social Networks based on Balance Theory
We expand this modeling approach to incorporate directionality of edges, and consider three levels of analysis: triads, subgroups, and the whole network.
Social and Information Networks Optimization and Control Physics and Society 05C22, 90C90, 90C09, 90C10, 90C35, 05C15, 65K05
Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networks
Substantively, we use the partisanship of such coalitions in the US Congress since 1979 to examine the impact of polarization on rates of bill passage.
Social and Information Networks Optimization and Control Physics and Society
Balance and Frustration in Signed Networks
The purpose served by exploring several problems in this paper is to propose a single general methodology for studying signed networks and to demonstrate its relevance to applications.
Social and Information Networks Optimization and Control 05C22 90C35 90C90 90C09 90C10
Computing the Line Index of Balance Using Integer Programming Optimisation
An important measure of signed graphs is the line index of balance which has several applications in many fields.
Social and Information Networks Optimization and Control 05C22, 15C22, 90C09, 90C11, 90C90, 90C35
An exact method for computing the frustration index in signed networks using binary programming
Computing the frustration index of a signed graph is a key step toward solving problems in many fields including social networks, physics, material science, and biology.
Social and Information Networks Optimization and Control 90C10, 90C20, 90C35, 90C57, 90C90, 05C15, 11E16, 65K05
