def author_clusters(algorithm, limit, keyword=""): query = None if (keyword == ""): query = "MATCH (a1:Author)-[:Wrote]-(p:Paper)-[:Wrote]-(a2:Author) RETURN a1.name AS source, a2.name AS target LIMIT %d" % (limit) else: query = "MATCH (a1:Author)-[:Wrote]-(p:Paper)-[:Wrote]-(a2:Author) WHERE '%s' IN a1.keyterms AND '%s' IN a2.keyterms RETURN a1.name AS source, a2.name AS target LIMIT %d" % (keyword, keyword, limit) print query data = neo4j.cypher.execute(query) graph_json = scholarly.compute_community_cluster(data, "title", algorithm) return json.dumps(graph_json)
def paper_clusters_cluster_info(algorithm, limit, clusterId):
query = "MATCH (p1:Paper)-[r:References]->(p2:Paper) RETURN p1.title, p2.title LIMIT %d" % (limit)
data = neo4j.cypher.execute(query)
graph_dict = scholarly.compute_community_cluster(data, "title", algorithm)
papers_in_cluster = []
for n in graph_dict["nodes"]:
if (n["cluster"] == clusterId):
papers_in_cluster.append({"title" : n["title"],
"url" : "http://dblp.uni-trier.de/search/publ?q=" + urllib.quote(n["title"])})
return render_template("cluster_info.html", data=papers_in_cluster);
def paper_clusters(algorithm, limit, keyword=""):
query = None
if (keyword == ""):
query = "MATCH (p1:Paper)-[r:References]->(p2:Paper) RETURN p1.title, p2.title LIMIT %d" % (limit)
else:
query = "MATCH (p1:Paper)-[r:References]->(p2:Paper) WHERE p1.title CONTAINS '%s' OR p2.title CONTAINS '%s' RETURN p1.title, p2.title LIMIT %d" % (keyword, keyword, limit)
print query
data = neo4j.cypher.execute(query)
graph_json = scholarly.compute_community_cluster(data, "title", algorithm)
return json.dumps(graph_json)
