Bipartite instances of INFLUENCE
E Duchêne, N Oijid, A Parreau - Theoretical Computer Science, 2024 - Elsevier
… bipartite graphs having the same properties. For that purpose, we consider a particular
version of Influence that is played on bipartite … the game on an undirected bipartite graph (where …
version of Influence that is played on bipartite … the game on an undirected bipartite graph (where …
Inferring influence networks from longitudinal bipartite relational data
… Thus, the interpretations of the country influences in A and the international-organization
influences in B are intertwined. While there may be instances where y s ℓ t is influenced by y k j …
influences in B are intertwined. While there may be instances where y s ℓ t is influenced by y k j …
Bipartite structure of all complex networks
JL Guillaume, M Latapy - Information processing letters, 2004 - Elsevier
… In many contexts, these properties have a strong influence on phenomena of interest [4,21,…
not its degree in the unipartite version of the bipartite network (see for instance Fig. 1), but the …
not its degree in the unipartite version of the bipartite network (see for instance Fig. 1), but the …
Measuring influence in online social network based on the user-content bipartite graph
Z Zhu, J Su, L Kong - Computers in Human Behavior, 2015 - Elsevier
… bipartite graph to construct the model and then develop an iterative algorithm to quantify the
influence in … After some examination, we realize that our input instance G is indeed periodic (…
influence in … After some examination, we realize that our input instance G is indeed periodic (…
Pattern detection in bipartite networks: A review of terminology, applications, and methods
ZP Neal, A Cadieux, D Garlaschelli… - PLOS Complex …, 2024 - journals.plos.org
… We will denote instances where r i = 0 as “empty rows” and instances where c j = 0 as “… the
fact that, since the nestedness is strongly influenced by the values of the margins of the matrix (…
fact that, since the nestedness is strongly influenced by the values of the margins of the matrix (…
Bipartite graphs as models of complex networks
JL Guillaume, M Latapy - Physica A: Statistical Mechanics and its …, 2006 - Elsevier
… This model consists in sampling a random bipartite graph with prescribed degree distribution.
Indeed, we show that any complex network may be viewed as a bipartite graph with some …
Indeed, we show that any complex network may be viewed as a bipartite graph with some …
The backbone of bipartite projections: Inferring relationships from co-authorship, co-sponsorship, co-attendance and other co-behaviors
Z Neal - Social Networks, 2014 - Elsevier
… These instances of structural bias arise because an artifact … Given the influence legislators
have over our lives through … constituents want to know ‘who influences whom’ when it comes …
have over our lives through … constituents want to know ‘who influences whom’ when it comes …
Identifying key players in bipartite networks
SW Duxbury - Network Science, 2020 - cambridge.org
… one mode of the network may be influential in the one-mode … the network is influential across
the entire bipartite structure. It … In these instances, the weighted bipartite measures will often …
the entire bipartite structure. It … In these instances, the weighted bipartite measures will often …
Birank: Towards ranking on bipartite graphs
… instance, users and items, queries and webpages. In this paper, we study the problem of
ranking vertices of a bipartite … If the users commenting on an item are more influential, the item is …
ranking vertices of a bipartite … If the users commenting on an item are more influential, the item is …
Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Z Zhang, F Song, B Wang, C Dong - Data Science and Engineering, 2024 - Springer
… Evaluation Metrics For the two prediction tasks, we randomly choose 60% of the interaction
instances (ie, edges) from the bipartite graph as the training set, and the remaining 40% as …
instances (ie, edges) from the bipartite graph as the training set, and the remaining 40% as …