Man pages for seekme94/influence.mining
Provides various methods for influence mining on Graphs
| adaptive_centrality_influential | Returns the most influential nodes in a graph using adaptive... |
| celf_greedy | Returns the set of influential nodes identified by CELF... |
| celf_greedy_framework | Influence mining framework implementation based on CELF... |
| celf_plus_plus | Returns the set of influential nodes identified by CELF++... |
| centrality_influential | Returns the most influential nodes in a graph using... |
| clique_community | Detects communities using cliques |
| collective_influence | Returns CI value of given graph and node |
| collective_influence_influential | Returns the most influential nodes in a graph using... |
| community_modularity_test | Detects function performs modularity test of communities. |
| community_significance_test | Detects function performs a Wilcoxon rank-sum test on the... |
| coreness_influential | Returns the most influential nodes in a graph using Coreness... |
| find_communities | Finds communities in the given graph and returns the graph... |
| fit_power_law | Plots degree distribution and returns power-law exponent of... |
| generate_clique | Generates a fully connected undirected graph |
| generate_holme_kim | Generates a Holme-Kim Network |
| generate_random | Generates a Erdos Renyi random graph |
| generate_ring | Generates a ring-structured graph, in which nodes are... |
| generate_scale_free | Generates a Barabasi scale-free graph |
| generate_small_world | Generates a Watts & Strogatz small-world graph by rewiring a... |
| generate_tree | Generates a tree-structured graph |
| get_adaptive_rank | Returns ranks from 1 to highest rank before the graph is... |
| get_centrality_scores | Returns the centrality values of nodes in a graph using given... |
| get_graph_traits | Calculates several traits from given graph and returns as... |
| get_influence | Quantifies the influence of a set of nodes in a graph |
| graph_summary | Gives a summary of common metrics of given graph |
| greedy_influential | Implements Greedy algorithm for Influence Maximization |
| h_index | Returns H-index (Hirsch number) |
| ic_spread | Calculates spread under IC model |
| ic_spread_plus | Calculates spread under IC model |
| influence | Mine the most influential nodes in given graph |
| influence_ic | Calculates influence of k nodes under Independent Cascade... |
| influence_lt | Calculates influence of k nodes under Linear Threshold model |
| katz_centrality | Calculates Katz centrality (Katz Status Index) of network.... |
| large_scale_community | Detects communities in large-scale graphs |
| largest_component | Returns largest connected component in a network |
| load_arxiv_collaboration_graph | A collaboration graph crawled from arXiv.org, High Energy... |
| load_as_caida_graph | The undirected network of autonomous systems of the Internet... |
| load_author_netscience_graph | Coauthorship network of scientists working on network theory... |
| load_football_graph | Network of American football games between Division IA... |
| load_influence_citation_graph | Citation network of papers on influence mining from 1990 to... |
| load_ita2000_graph | Air Transport Network is an undirected graph where nodes... |
| load_jdk6_dependencies_graph | Class dependency network of the Java Development Kit 1.6.0.7... |
| load_karate_club_graph | A social network of members of a karate club at an American... |
| load_nematode_neural_network_graph | Neural network of the nematode C. Elegans compiled by Duncan... |
| load_political_blog_graph | A directed network of hyperlinks between weblogs on US... |
| load_protein_barabasi_graph | Protein interaction network data for yeast (by Barabasi) |
| load_twitter_graph | Network of twitter links collected via snowball sampling,... |
| load_wordnet_graph | Lexical network of words from the WordNet dataset. Nodes in... |
| load_world_trade_graph | Network of trade between manufacturers from around the world |
| lt_spread | Calculates spread under LT model |
| normalize_data | Normalize a set of numeric variables in a dataset between 0... |
| normalize_trait | Normalizes the numeric values passed in 'x' between 0 and 1 |
| optimal_influential | Implements optimal algorithm for Influence Maximization |
| pagerank_influential | Returns the most influential nodes in a graph using Pagerank... |
| plot_degree_distribution | Plots degree distribution of given graph |
| resilience | Calculates resilience of network |
| setup | Setup logging |
| simulate_ic | Simulates influence spread under Independent Cascade model |
| simulate_lt | Simulates influence spread under Linear Threshold model |
