Python package for network analysis
See also https://github.com/bavla/Nets/wiki .
The Python library Nets supports basic operations with networks based on graph representation. Each node/link has its id. If a link id is not specified by a user it is determined by Nets. The library Nets is based on an object containing three dictionaries:
-
_info- keys are general properties of a network. System properties:network,title,simple,directed,multirel,mode,temporal,meta,nNodes,nArcs,nEdges,time, etc. User properties:nWeak,planar, etc. -
_nodes- keys are ids of nodes. A value is a list of four dictionaries:[ edgeStar, inArcStar, outArcStar, nodeProperties ]Each star is again a dictionary that has for keys ids of neighboring nodes and for values lists of link ids. -
_links- keys are ids of links. A value is a list[ nodeId1, nodeId2, directed, relId, linkProperties ]where linkProperties is a dictionary of weights.
>>> Co._info
{'simple': True, 'mode': 1, 'multirel': False, 'temporal': True,
'nNodes': 62106, 'time': (1900, 2016),
'Network': 'testCOLS', 'title': 'COLS of instant',
'meta': [{'date': 'Fri Feb 22 20:33:03 2019', 'title': 'twoMode2netJSON'},
{'date': 'Fri Feb 22 20:33:03 2019', 'title': 'saved from Graph to netJSON'}],
'legends': {'Tlabs': {'1900': '1900', '1901': '1901', '1902': '1902',
...
'2013': '2013', '2014': '2014', '2015': '2015', '2016': '2016'}},
'required': {'nodes': ['id', 'mode', 'lab', 'act'],
'links': ['n1', 'n2', 'type', 'tq']}
}
>>>
>>> I = Co.Index()
>>> I['BORNMANN_L']
4654
>>> b = I['BORNMANN_L']
>>> Co._nodes[b]
[{4654: [(4654, 4654)], 7563: [(4654, 7563)], 21863: [(4654, 21863)], 6203: [(4654, 6203)],
21864: [(4654, 21864)], 29435: [(4654, 29435)], 16968: [(4654, 16968)], 23661: [(4654, 23661)],
24416: [(4654, 24416)], 15646: [(4654, 15646)], 17614: [(4654, 17614)], 24896: [(4654, 24896)],
32173: [(4654, 32173)], 7495: [(4654, 7495)], 15652: [(4654, 15652)], 35816: [(4654, 35816)],
36073: [(4654, 36073)], 16984: [(4654, 16984)], 48315: [(4654, 48315)], 48316: [(4654, 48316)],
16966: [(4654, 16966)], 49841: [(4654, 49841)], 7588: [(4654, 7588)], 18205: [(4654, 18205)],
15149: [(4654, 15149)], 31092: [(4654, 31092)], 31684: [(4654, 31684)], 44045: [(4654, 44045)],
44047: [(4654, 44047)], 13328: [(4654, 13328)], 54082: [(4654, 54082)]}, {}, {},
{'mode': 1, 'lab': 'BORNMANN_L', 'x': 0.0, 'y': 0.0, 'act': [(1900, 2017, 1)], 'id': 4654}]
>>> Co._links[(4654, 7563)]
[4654, 7563, False, None, {'tq': [(2005, 2006, 4), (2006, 2007, 3), (2007, 2008, 4), (2008, 2009, 7),
(2009, 2010, 4), (2010, 2011, 11), (2011, 2013, 4), (2015, 2016, 1)],
'type': 'edge', 'n1': 4654, 'n2': 7563}]
>>>
To do:
- remove repeated elements from links
- replace (u,v) IDs with integer IDs