/** * \ingroup communities * \function igraph_i_community_multilevel_step * \brief Performs a single step of the multi-level modularity optimization method * * This function implements a single step of the multi-level modularity optimization * algorithm for finding community structure, see VD Blondel, J-L Guillaume, * R Lambiotte and E Lefebvre: Fast unfolding of community hierarchies in large * networks, http://arxiv.org/abs/0803.0476 for the details. * * This function was contributed by Tom Gregorovic. * * \param graph The input graph. It must be an undirected graph. * \param weights Numeric vector containing edge weights. If \c NULL, every edge * has equal weight. The weights are expected to be non-negative. * \param membership The membership vector, the result is returned here. * For each vertex it gives the ID of its community. * \param modularity The modularity of the partition is returned here. * \c NULL means that the modularity is not needed. * \return Error code. * * Time complexity: in average near linear on sparse graphs. */ int igraph_i_community_multilevel_step(igraph_t *graph, igraph_vector_t *weights, igraph_vector_t *membership, igraph_real_t *modularity) { long int i, j; long int vcount = igraph_vcount(graph); long int ecount = igraph_ecount(graph); igraph_integer_t ffrom, fto; igraph_real_t q, pass_q; int pass; igraph_bool_t changed = 0; igraph_vector_t links_community; igraph_vector_t links_weight; igraph_vector_t edges; igraph_vector_t temp_membership; igraph_i_multilevel_community_list communities; /* Initial sanity checks on the input parameters */ if (igraph_is_directed(graph)) { IGRAPH_ERROR("multi-level community detection works for undirected graphs only", IGRAPH_UNIMPLEMENTED); } if (igraph_vector_size(weights) < igraph_ecount(graph)) IGRAPH_ERROR("multi-level community detection: weight vector too short", IGRAPH_EINVAL); if (igraph_vector_any_smaller(weights, 0)) IGRAPH_ERROR("weights must be positive", IGRAPH_EINVAL); /* Initialize data structures */ IGRAPH_VECTOR_INIT_FINALLY(&links_community, 0); IGRAPH_VECTOR_INIT_FINALLY(&links_weight, 0); IGRAPH_VECTOR_INIT_FINALLY(&edges, 0); IGRAPH_VECTOR_INIT_FINALLY(&temp_membership, vcount); IGRAPH_CHECK(igraph_vector_resize(membership, vcount)); /* Initialize list of communities from graph vertices */ communities.vertices_no = vcount; communities.communities_no = vcount; communities.weights = weights; communities.weight_sum = 2 * igraph_vector_sum(weights); communities.membership = membership; communities.item = igraph_Calloc(vcount, igraph_i_multilevel_community); if (communities.item == 0) { IGRAPH_ERROR("multi-level community structure detection failed", IGRAPH_ENOMEM); } IGRAPH_FINALLY(igraph_free, communities.item); /* Still initializing the communities data structure */ for (i=0; i < vcount; i++) { VECTOR(*communities.membership)[i] = i; communities.item[i].size = 1; communities.item[i].weight_inside = 0; communities.item[i].weight_all = 0; } /* Some more initialization :) */ for (i = 0; i < ecount; i++) { igraph_real_t weight = 1; igraph_edge(graph, (igraph_integer_t) i, &ffrom, &fto); weight = VECTOR(*weights)[i]; communities.item[(long int) ffrom].weight_all += weight; communities.item[(long int) fto].weight_all += weight; if (ffrom == fto) communities.item[(long int) ffrom].weight_inside += 2*weight; } q = igraph_i_multilevel_community_modularity(&communities); pass = 1; do { /* Pass begin */ long int temp_communities_no = communities.communities_no; pass_q = q; changed = 0; /* Save the current membership, it will be restored in case of worse result */ IGRAPH_CHECK(igraph_vector_update(&temp_membership, communities.membership)); for (i = 0; i < vcount; i++) { /* Exclude vertex from its current community */ igraph_real_t weight_all = 0; igraph_real_t weight_inside = 0; igraph_real_t weight_loop = 0; igraph_real_t max_q_gain = 0; igraph_real_t max_weight; long int old_id, new_id, n; igraph_i_multilevel_community_links(graph, &communities, (igraph_integer_t) i, &edges, &weight_all, &weight_inside, &weight_loop, &links_community, &links_weight); old_id = (long int)VECTOR(*(communities.membership))[i]; new_id = old_id; /* Update old community */ igraph_vector_set(communities.membership, i, -1); communities.item[old_id].size--; if (communities.item[old_id].size == 0) {communities.communities_no--;} communities.item[old_id].weight_all -= weight_all; communities.item[old_id].weight_inside -= 2*weight_inside + weight_loop; /* debug("Remove %ld all: %lf Inside: %lf\n", i, -weight_all, -2*weight_inside + weight_loop); */ /* Find new community to join with the best modification gain */ max_q_gain = 0; max_weight = weight_inside; n = igraph_vector_size(&links_community); igraph_vector_sort(&links_community); for (j = 0; j < n; j++) { long int c = (long int) VECTOR(links_community)[j]; igraph_real_t w = VECTOR(links_weight)[j]; igraph_real_t q_gain = igraph_i_multilevel_community_modularity_gain(&communities, (igraph_integer_t) c, (igraph_integer_t) i, weight_all, w); /* debug("Link %ld -> %ld weight: %lf gain: %lf\n", i, c, (double) w, (double) q_gain); */ if (q_gain > max_q_gain) { new_id = c; max_q_gain = q_gain; max_weight = w; } } /* debug("Added vertex %ld to community %ld (gain %lf).\n", i, new_id, (double) max_q_gain); */ /* Add vertex to "new" community and update it */ igraph_vector_set(communities.membership, i, new_id); if (communities.item[new_id].size == 0) {communities.communities_no++;} communities.item[new_id].size++; communities.item[new_id].weight_all += weight_all; communities.item[new_id].weight_inside += 2*max_weight + weight_loop; if (new_id != old_id) { changed++; } } q = igraph_i_multilevel_community_modularity(&communities); if (changed && (q > pass_q)) { /* debug("Pass %d (changed: %d) Communities: %ld Modularity from %lf to %lf\n", pass, changed, communities.communities_no, (double) pass_q, (double) q); */ pass++; } else { /* No changes or the modularity became worse, restore last membership */ IGRAPH_CHECK(igraph_vector_update(communities.membership, &temp_membership)); communities.communities_no = temp_communities_no; break; } IGRAPH_ALLOW_INTERRUPTION(); } while (changed && (q > pass_q)); /* Pass end */ if (modularity) { *modularity = q; } /* debug("Result Communities: %ld Modularity: %lf\n", communities.communities_no, (double) q); */ IGRAPH_CHECK(igraph_reindex_membership(membership, 0)); /* Shrink the nodes of the graph according to the present community structure * and simplify the resulting graph */ /* TODO: check if we really need to copy temp_membership */ IGRAPH_CHECK(igraph_vector_update(&temp_membership, membership)); IGRAPH_CHECK(igraph_i_multilevel_shrink(graph, &temp_membership)); igraph_vector_destroy(&temp_membership); IGRAPH_FINALLY_CLEAN(1); /* Update edge weights after shrinking and simplification */ /* Here we reuse the edges vector as we don't need the previous contents anymore */ /* TODO: can we use igraph_simplify here? */ IGRAPH_CHECK(igraph_i_multilevel_simplify_multiple(graph, &edges)); /* We reuse the links_weight vector to store the old edge weights */ IGRAPH_CHECK(igraph_vector_update(&links_weight, weights)); igraph_vector_fill(weights, 0); for (i = 0; i < ecount; i++) { VECTOR(*weights)[(long int)VECTOR(edges)[i]] += VECTOR(links_weight)[i]; } igraph_free(communities.item); igraph_vector_destroy(&links_community); igraph_vector_destroy(&links_weight); igraph_vector_destroy(&edges); IGRAPH_FINALLY_CLEAN(4); return 0; }
/** * \function igraph_community_fastgreedy * \brief Finding community structure by greedy optimization of modularity * * This function implements the fast greedy modularity optimization * algorithm for finding community structure, see * A Clauset, MEJ Newman, C Moore: Finding community structure in very * large networks, http://www.arxiv.org/abs/cond-mat/0408187 for the * details. * * </para><para> * Some improvements proposed in K Wakita, T Tsurumi: Finding community * structure in mega-scale social networks, * http://www.arxiv.org/abs/cs.CY/0702048v1 have also been implemented. * * \param graph The input graph. It must be a simple graph, i.e. a graph * without multiple and without loop edges. This is checked and an * error message is given for non-simple graphs. * \param weights Potentially a numeric vector containing edge * weights. Supply a null pointer here for unweighted graphs. The * weights are expected to be non-negative. * \param merges Pointer to an initialized matrix or NULL, the result of the * computation is stored here. The matrix has two columns and each * merge corresponds to one merge, the ids of the two merged * components are stored. The component ids are numbered from zero and * the first \c n components are the individual vertices, \c n is * the number of vertices in the graph. Component \c n is created * in the first merge, component \c n+1 in the second merge, etc. * The matrix will be resized as needed. If this argument is NULL * then it is ignored completely. * \param modularity Pointer to an initialized matrix or NULL pointer, * in the former case the modularity scores along the stages of the * computation are recorded here. The vector will be resized as * needed. * \return Error code. * * \sa \ref igraph_community_walktrap(), \ref * igraph_community_edge_betweenness() for other community detection * algorithms, \ref igraph_community_to_membership() to convert the * dendrogram to a membership vector. * * Time complexity: O(|E||V|log|V|) in the worst case, * O(|E|+|V|log^2|V|) typically, |V| is the number of vertices, |E| is * the number of edges. */ int igraph_community_fastgreedy(const igraph_t *graph, const igraph_vector_t *weights, igraph_matrix_t *merges, igraph_vector_t *modularity) { long int no_of_edges, no_of_nodes, no_of_joins, total_joins; long int i, j, k, n, m, from, to, dummy; igraph_integer_t ffrom, fto; igraph_eit_t edgeit; igraph_i_fastgreedy_commpair *pairs, *p1, *p2; igraph_i_fastgreedy_community_list communities; igraph_vector_t a; igraph_real_t q, maxq, *dq, weight_sum; igraph_bool_t simple; /*long int join_order[] = { 16,5, 5,6, 6,0, 4,0, 10,0, 26,29, 29,33, 23,33, 27,33, 25,24, 24,31, 12,3, 21,1, 30,8, 8,32, 9,2, 17,1, 11,0, 7,3, 3,2, 13,2, 1,2, 28,31, 31,33, 22,32, 18,32, 20,32, 32,33, 15,33, 14,33, 0,19, 19,2, -1,-1 };*/ /*long int join_order[] = { 43,42, 42,41, 44,41, 41,36, 35,36, 37,36, 36,29, 38,29, 34,29, 39,29, 33,29, 40,29, 32,29, 14,29, 30,29, 31,29, 6,18, 18,4, 23,4, 21,4, 19,4, 27,4, 20,4, 22,4, 26,4, 25,4, 24,4, 17,4, 0,13, 13,2, 1,2, 11,2, 8,2, 5,2, 3,2, 10,2, 9,2, 7,2, 2,28, 28,15, 12,15, 29,16, 4,15, -1,-1 };*/ no_of_nodes = igraph_vcount(graph); no_of_edges = igraph_ecount(graph); if (igraph_is_directed(graph)) { IGRAPH_ERROR("fast greedy community detection works for undirected graphs only", IGRAPH_UNIMPLEMENTED); } total_joins=no_of_nodes-1; if (weights != 0) { if (igraph_vector_size(weights) < igraph_ecount(graph)) IGRAPH_ERROR("fast greedy community detection: weight vector too short", IGRAPH_EINVAL); if (igraph_vector_any_smaller(weights, 0)) IGRAPH_ERROR("weights must be positive", IGRAPH_EINVAL); weight_sum = igraph_vector_sum(weights); } else weight_sum = no_of_edges; IGRAPH_CHECK(igraph_is_simple(graph, &simple)); if (!simple) { IGRAPH_ERROR("fast-greedy community finding works only on simple graphs", IGRAPH_EINVAL); } if (merges != 0) { IGRAPH_CHECK(igraph_matrix_resize(merges, total_joins, 2)); igraph_matrix_null(merges); } if (modularity != 0) { IGRAPH_CHECK(igraph_vector_resize(modularity, total_joins+1)); } /* Create degree vector */ IGRAPH_VECTOR_INIT_FINALLY(&a, no_of_nodes); if (weights) { debug("Calculating weighted degrees\n"); for (i=0; i < no_of_edges; i++) { VECTOR(a)[(long int)IGRAPH_FROM(graph, i)] += VECTOR(*weights)[i]; VECTOR(a)[(long int)IGRAPH_TO(graph, i)] += VECTOR(*weights)[i]; } } else { debug("Calculating degrees\n"); IGRAPH_CHECK(igraph_degree(graph, &a, igraph_vss_all(), IGRAPH_ALL, 0)); } /* Create list of communities */ debug("Creating community list\n"); communities.n = no_of_nodes; communities.no_of_communities = no_of_nodes; communities.e = (igraph_i_fastgreedy_community*)calloc(no_of_nodes, sizeof(igraph_i_fastgreedy_community)); if (communities.e == 0) { IGRAPH_ERROR("can't run fast greedy community detection", IGRAPH_ENOMEM); } IGRAPH_FINALLY(free, communities.e); communities.heap = (igraph_i_fastgreedy_community**)calloc(no_of_nodes, sizeof(igraph_i_fastgreedy_community*)); if (communities.heap == 0) { IGRAPH_ERROR("can't run fast greedy community detection", IGRAPH_ENOMEM); } IGRAPH_FINALLY(free, communities.heap); communities.heapindex = (igraph_integer_t*)calloc(no_of_nodes, sizeof(igraph_integer_t)); if (communities.heapindex == 0) { IGRAPH_ERROR("can't run fast greedy community detection", IGRAPH_ENOMEM); } IGRAPH_FINALLY_CLEAN(2); IGRAPH_FINALLY(igraph_i_fastgreedy_community_list_destroy, &communities); for (i=0; i<no_of_nodes; i++) { igraph_vector_ptr_init(&communities.e[i].neis, 0); communities.e[i].id = i; communities.e[i].size = 1; } /* Create list of community pairs from edges */ debug("Allocating dq vector\n"); dq = (igraph_real_t*)calloc(no_of_edges, sizeof(igraph_real_t)); if (dq == 0) { IGRAPH_ERROR("can't run fast greedy community detection", IGRAPH_ENOMEM); } IGRAPH_FINALLY(free, dq); debug("Creating community pair list\n"); IGRAPH_CHECK(igraph_eit_create(graph, igraph_ess_all(0), &edgeit)); IGRAPH_FINALLY(igraph_eit_destroy, &edgeit); pairs = (igraph_i_fastgreedy_commpair*)calloc(2*no_of_edges, sizeof(igraph_i_fastgreedy_commpair)); if (pairs == 0) { IGRAPH_ERROR("can't run fast greedy community detection", IGRAPH_ENOMEM); } IGRAPH_FINALLY(free, pairs); i=j=0; while (!IGRAPH_EIT_END(edgeit)) { long int eidx = IGRAPH_EIT_GET(edgeit); igraph_edge(graph, eidx, &ffrom, &fto); /* Create the pairs themselves */ from = (long int)ffrom; to = (long int)fto; if (from == to) { IGRAPH_ERROR("loop edge detected, simplify the graph before starting community detection", IGRAPH_EINVAL); } if (from>to) { dummy=from; from=to; to=dummy; } if (weights) { dq[j]=2*(VECTOR(*weights)[eidx]/(weight_sum*2.0) - VECTOR(a)[from]*VECTOR(a)[to]/(4.0*weight_sum*weight_sum)); } else { dq[j]=2*(1.0/(no_of_edges*2.0) - VECTOR(a)[from]*VECTOR(a)[to]/(4.0*no_of_edges*no_of_edges)); } pairs[i].first = from; pairs[i].second = to; pairs[i].dq = &dq[j]; pairs[i].opposite = &pairs[i+1]; pairs[i+1].first = to; pairs[i+1].second = from; pairs[i+1].dq = pairs[i].dq; pairs[i+1].opposite = &pairs[i]; /* Link the pair to the communities */ igraph_vector_ptr_push_back(&communities.e[from].neis, &pairs[i]); igraph_vector_ptr_push_back(&communities.e[to].neis, &pairs[i+1]); /* Update maximums */ if (communities.e[from].maxdq==0 || *communities.e[from].maxdq->dq < *pairs[i].dq) communities.e[from].maxdq = &pairs[i]; if (communities.e[to].maxdq==0 || *communities.e[to].maxdq->dq < *pairs[i+1].dq) communities.e[to].maxdq = &pairs[i+1]; /* Iterate */ i+=2; j++; IGRAPH_EIT_NEXT(edgeit); } igraph_eit_destroy(&edgeit); IGRAPH_FINALLY_CLEAN(1); /* Sorting community neighbor lists by community IDs */ debug("Sorting community neighbor lists\n"); for (i=0, j=0; i<no_of_nodes; i++) { igraph_vector_ptr_sort(&communities.e[i].neis, igraph_i_fastgreedy_commpair_cmp); /* Isolated vertices won't be stored in the heap (to avoid maxdq == 0) */ if (VECTOR(a)[i] > 0) { communities.heap[j] = &communities.e[i]; communities.heapindex[i] = j; j++; } else { communities.heapindex[i] = -1; } } communities.no_of_communities = j; /* Calculate proper vector a (see paper) and initial modularity */ q=0; igraph_vector_scale(&a, 1.0/(2.0 * (weights ? weight_sum : no_of_edges))); for (i=0; i<no_of_nodes; i++) q -= VECTOR(a)[i]*VECTOR(a)[i]; maxq=q; /* Initializing community heap */ debug("Initializing community heap\n"); igraph_i_fastgreedy_community_list_build_heap(&communities); debug("Initial modularity: %.4f\n", q); /* Let's rock ;) */ no_of_joins=0; while (no_of_joins<total_joins) { IGRAPH_ALLOW_INTERRUPTION(); IGRAPH_PROGRESS("fast greedy community detection", no_of_joins*100.0/total_joins, 0); /* Store the modularity */ if (modularity) VECTOR(*modularity)[no_of_joins] = q; /* Some debug info if needed */ /* igraph_i_fastgreedy_community_list_check_heap(&communities); */ #ifdef DEBUG debug("===========================================\n"); for (i=0; i<communities.n; i++) { if (communities.e[i].maxdq == 0) { debug("Community #%ld: PASSIVE\n", i); continue; } debug("Community #%ld\n ", i); for (j=0; j<igraph_vector_ptr_size(&communities.e[i].neis); j++) { p1=(igraph_i_fastgreedy_commpair*)VECTOR(communities.e[i].neis)[j]; debug(" (%ld,%ld,%.4f)", p1->first, p1->second, *p1->dq); } p1=communities.e[i].maxdq; debug("\n Maxdq: (%ld,%ld,%.4f)\n", p1->first, p1->second, *p1->dq); } debug("Global maxdq is: (%ld,%ld,%.4f)\n", communities.heap[0]->maxdq->first, communities.heap[0]->maxdq->second, *communities.heap[0]->maxdq->dq); for (i=0; i<communities.no_of_communities; i++) debug("(%ld,%ld,%.4f) ", communities.heap[i]->maxdq->first, communities.heap[i]->maxdq->second, *communities.heap[0]->maxdq->dq); debug("\n"); #endif if (communities.heap[0] == 0) break; /* no more communities */ if (communities.heap[0]->maxdq == 0) break; /* there are only isolated comms */ to=communities.heap[0]->maxdq->second; from=communities.heap[0]->maxdq->first; debug("Q[%ld] = %.7f\tdQ = %.7f\t |H| = %ld\n", no_of_joins, q, *communities.heap[0]->maxdq->dq, no_of_nodes-no_of_joins-1); /* DEBUG */ /* from=join_order[no_of_joins*2]; to=join_order[no_of_joins*2+1]; if (to == -1) break; for (i=0; i<igraph_vector_ptr_size(&communities.e[to].neis); i++) { p1=(igraph_i_fastgreedy_commpair*)VECTOR(communities.e[to].neis)[i]; if (p1->second == from) communities.maxdq = p1; } */ n = igraph_vector_ptr_size(&communities.e[to].neis); m = igraph_vector_ptr_size(&communities.e[from].neis); /*if (n>m) { dummy=n; n=m; m=dummy; dummy=to; to=from; from=dummy; }*/ debug(" joining: %ld <- %ld\n", to, from); q += *communities.heap[0]->maxdq->dq; /* Merge the second community into the first */ i = j = 0; while (i<n && j<m) { p1 = (igraph_i_fastgreedy_commpair*)VECTOR(communities.e[to].neis)[i]; p2 = (igraph_i_fastgreedy_commpair*)VECTOR(communities.e[from].neis)[j]; debug("Pairs: %ld-%ld and %ld-%ld\n", p1->first, p1->second, p2->first, p2->second); if (p1->second < p2->second) { /* Considering p1 from now on */ debug(" Considering: %ld-%ld\n", p1->first, p1->second); if (p1->second == from) { debug(" WILL REMOVE: %ld-%ld\n", to, from); } else { /* chain, case 1 */ debug(" CHAIN(1): %ld-%ld %ld, now=%.7f, adding=%.7f, newdq(%ld,%ld)=%.7f\n", to, p1->second, from, *p1->dq, -2*VECTOR(a)[from]*VECTOR(a)[p1->second], p1->first, p1->second, *p1->dq-2*VECTOR(a)[from]*VECTOR(a)[p1->second]); igraph_i_fastgreedy_community_update_dq(&communities, p1, *p1->dq - 2*VECTOR(a)[from]*VECTOR(a)[p1->second]); } i++; } else if (p1->second == p2->second) { /* p1->first, p1->second and p2->first form a triangle */ debug(" Considering: %ld-%ld and %ld-%ld\n", p1->first, p1->second, p2->first, p2->second); /* Update dq value */ debug(" TRIANGLE: %ld-%ld-%ld, now=%.7f, adding=%.7f, newdq(%ld,%ld)=%.7f\n", to, p1->second, from, *p1->dq, *p2->dq, p1->first, p1->second, *p1->dq+*p2->dq); igraph_i_fastgreedy_community_update_dq(&communities, p1, *p1->dq + *p2->dq); igraph_i_fastgreedy_community_remove_nei(&communities, p1->second, from); i++; j++; } else { debug(" Considering: %ld-%ld\n", p2->first, p2->second); if (p2->second == to) { debug(" WILL REMOVE: %ld-%ld\n", p2->second, p2->first); } else { /* chain, case 2 */ debug(" CHAIN(2): %ld %ld-%ld, newdq(%ld,%ld)=%.7f\n", to, p2->second, from, to, p2->second, *p2->dq-2*VECTOR(a)[to]*VECTOR(a)[p2->second]); p2->opposite->second=to; /* need to re-sort community nei list `p2->second` */ /* TODO: quicksort is O(n*logn), although we could do a deletion and * insertion which can be done in O(logn) if deletion is O(1) */ debug(" Re-sorting community %ld\n", p2->second); igraph_vector_ptr_sort(&communities.e[p2->second].neis, igraph_i_fastgreedy_commpair_cmp); /* link from.neis[j] to the current place in to.neis if * from.neis[j] != to */ p2->first=to; IGRAPH_CHECK(igraph_vector_ptr_insert(&communities.e[to].neis,i,p2)); n++; i++; if (*p2->dq > *communities.e[to].maxdq->dq) { communities.e[to].maxdq = p2; k=igraph_i_fastgreedy_community_list_find_in_heap(&communities, to); igraph_i_fastgreedy_community_list_sift_up(&communities, k); } igraph_i_fastgreedy_community_update_dq(&communities, p2, *p2->dq - 2*VECTOR(a)[to]*VECTOR(a)[p2->second]); } j++; } } while (i<n) { p1 = (igraph_i_fastgreedy_commpair*)VECTOR(communities.e[to].neis)[i]; if (p1->second == from) { debug(" WILL REMOVE: %ld-%ld\n", p1->first, from); } else { /* chain, case 1 */ debug(" CHAIN(1): %ld-%ld %ld, now=%.7f, adding=%.7f, newdq(%ld,%ld)=%.7f\n", to, p1->second, from, *p1->dq, -2*VECTOR(a)[from]*VECTOR(a)[p1->second], p1->first, p1->second, *p1->dq-2*VECTOR(a)[from]*VECTOR(a)[p1->second]); igraph_i_fastgreedy_community_update_dq(&communities, p1, *p1->dq - 2*VECTOR(a)[from]*VECTOR(a)[p1->second]); } i++; } while (j<m) { p2 = (igraph_i_fastgreedy_commpair*)VECTOR(communities.e[from].neis)[j]; if (to == p2->second) { j++; continue; } /* chain, case 2 */ debug(" CHAIN(2): %ld %ld-%ld, newdq(%ld,%ld)=%.7f\n", to, p2->second, from, p1->first, p2->second, *p2->dq-2*VECTOR(a)[to]*VECTOR(a)[p2->second]); p2->opposite->second=to; /* need to re-sort community nei list `p2->second` */ /* TODO: quicksort is O(n*logn), although we could do a deletion and * insertion which can be done in O(logn) if deletion is O(1) */ debug(" Re-sorting community %ld\n", p2->second); igraph_vector_ptr_sort(&communities.e[p2->second].neis, igraph_i_fastgreedy_commpair_cmp); /* link from.neis[j] to the current place in to.neis if * from.neis[j] != to */ p2->first=to; IGRAPH_CHECK(igraph_vector_ptr_push_back(&communities.e[to].neis,p2)); if (*p2->dq > *communities.e[to].maxdq->dq) { communities.e[to].maxdq = p2; k=igraph_i_fastgreedy_community_list_find_in_heap(&communities, to); igraph_i_fastgreedy_community_list_sift_up(&communities, k); } igraph_i_fastgreedy_community_update_dq(&communities, p2, *p2->dq-2*VECTOR(a)[to]*VECTOR(a)[p2->second]); j++; } /* Now, remove community `from` from the neighbors of community `to` */ if (communities.no_of_communities > 2) { debug(" REMOVING: %ld-%ld\n", to, from); igraph_i_fastgreedy_community_remove_nei(&communities, to, from); i=igraph_i_fastgreedy_community_list_find_in_heap(&communities, from); igraph_i_fastgreedy_community_list_remove(&communities, i); } communities.e[from].maxdq=0; /* Update community sizes */ communities.e[to].size += communities.e[from].size; communities.e[from].size = 0; /* record what has been merged */ /* igraph_vector_ptr_clear is not enough here as it won't free * the memory consumed by communities.e[from].neis. Thanks * to Tom Gregorovic for pointing that out. */ igraph_vector_ptr_destroy(&communities.e[from].neis); if (merges) { MATRIX(*merges, no_of_joins, 0) = communities.e[to].id; MATRIX(*merges, no_of_joins, 1) = communities.e[from].id; communities.e[to].id = no_of_nodes+no_of_joins; } /* Update vector a */ VECTOR(a)[to] += VECTOR(a)[from]; VECTOR(a)[from] = 0.0; no_of_joins++; } /* TODO: continue merging when some isolated communities remained. Always * joining the communities with the least number of nodes results in the * smallest decrease in modularity every step. Now we're simply deleting * the excess rows from the merge matrix */ if (no_of_joins < total_joins) { long int *ivec; ivec=igraph_Calloc(igraph_matrix_nrow(merges), long int); if (ivec == 0) IGRAPH_ERROR("can't run fast greedy community detection", IGRAPH_ENOMEM); IGRAPH_FINALLY(free, ivec); for (i=0; i<no_of_joins; i++) ivec[i] = i+1; igraph_matrix_permdelete_rows(merges, ivec, total_joins-no_of_joins); free(ivec); IGRAPH_FINALLY_CLEAN(1); }