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Modelling, Mining, and Searching Networks

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Presentation on theme: "Modelling, Mining, and Searching Networks"— Presentation transcript:

1 Modelling, Mining, and Searching Networks
Graduate Seminar September 2017 Modelling, Mining, and Searching Networks Anthony Bonato Ryerson University

2 Friendship networks network of on- and off-line friends form a large web of interconnected links Networks - Bonato

3 6 degrees of separation (Stanley Milgram,67): famous chain letter experiment Networks - Bonato

4 4 Degrees in Facebook 2 billion users
(Backstrom,Boldi,Rosa, Ugander,Vigna,2012) 4 degrees of separation in Facebook when considering another person in the world, a friend of your friend knows a friend of their friend, on average Networks - Bonato

5 Complex networks in the era of Big Data
web graph, social networks, biological networks, internet networks, … Networks - Bonato

6 What is a complex network?
no precise definition however, there is general consensus on the following observed properties large scale evolving over time power law degree distributions small world properties Networks - Bonato

7 The web graph nodes: web pages edges: links over 60 trillion nodes
Networks - Bonato

8 Nuit Ryerson Blanche City of Toronto Four Seasons Hotel Frommer’s
Greenland Tourism Networks - Bonato

9 Networks - Bonato

10 Biological networks: proteomics
nodes: proteins edges: biochemical interactions Yeast: 2401 nodes 11000 edges Networks - Bonato

11 Protein networks proteins are essential macromolecules of life
understanding their function and role in disease is of importance protein-protein interaction networks (PPI) nodes: proteins edges: biochemical interaction Networks - Bonato

12 Domination sets in PPI (Milenkovic, Memisevic, Bonato, Przulj, 2011)
dominating sets in graphs we found that dominating sets in PPI networks are vital for normal cellular functioning and signalling dominating sets capture biologically vital proteins and drug targets might eventually lead to new drug therapies Networks - Bonato

13 On-line Social Networks (OSNs) Facebook, Twitter, LinkedIn, Instagram…
Networks - Bonato

14 GEO-P model (Bonato et al, 2014): PLOS ONE
reverse engineering approach given network data GEO-P model predicts dimension of an OSN to be around log n, where n is the number of users that is, given the graph structure, we can (theoretically) recover the social space Networks - Bonato

15 6 Dimensions of Separation in Facebook and LinkedIn
Networks - Bonato

16 Character networks cultural work:
fictional works such novels or short stories, movies, biographies, historical works character networks: nodes: characters or persona in a cultural work edges: co-occurrence Networks - Bonato

17 Social networks in novels joint work with David D’Angelo (Masters candidate)
Twilight by Stephanie Meyer Harry Potter and the Goblet of Fire by J.K. Rowlings The Stand by Stephen King Networks - Bonato

18 Twilight: visualized Networks - Bonato

19 Twilight: centrality measures
Networks - Bonato

20 Other visualizations: Harry Potter and the Goblet of Fire
Networks - Bonato

21 Other ongoing thesis topics
Networks of enemies/rivalry Network visualization Graph learning Networks - Bonato

22 Cops and Robbers C C R C Networks - Bonato

23 Cops and Robbers C C R C Networks - Bonato

24 Cops and Robbers C R C C cop number c(G) ≤ 3 Networks - Bonato

25 Cops and Robbers minimum number of cops needed to capture the robber is the cop number c(G) well-defined as c(G) ≤ |V(G)| Networks - Bonato

26 Applications of Cops and Robbers
robotics mobile computing missile-defense gaming counter-terrorism intercepting messages or agents Networks - Bonato

27 How big can the cop number be?
if the graph G with order n is disconnected, then the cop number can be as n if G is connected, then no one knows how big the cop number can be! Meyniel’s Conjecture: c(G) = O(n1/2). Networks - Bonato

28 Variants on the classic game
Seepage Wall Cops and Robbers Cops, Robbers, and Barricades Zombies and Survivors Networks - Bonato

29 Miniconference on the Mathematics of Computation
Networks - Bonato

30 Miniconference on the Mathematics of Computation
Networks - Bonato

31 Miniconference on the Mathematics of Computation
Zombie horde up to 𝑛/2 - 2 zombies on an induced path will never capture the survivor Networks - Bonato

32 Networks - Bonato

33 Thesis topics new models of complex networks
biological network models: proteomics, connectomics Banking/financial networks fitting models to data/machine learning Cops and Robbers games Meyniel’s conjecture, random graphs, zombies and other variations Networks - Bonato

34 Brief biography over 100 papers, three original books, 8 edited proceedings books, with 70 collaborators (many of which are my students) over 500K lifetime research grants from NSERC, MITACS, Mprime, and Ryerson supervised 18 masters students, 4 doctoral, and 15 post-docs over 30 invited addresses world-wide (India, China, Europe, North America); including keynote at Oxford University won 2011 and 2009 Ryerson SRC awards for research excellence won 2013 an inaugural YSGS Outstanding Contribution to Graduate Education Award Past Dept Chair ( ) and Associate Dean, YSGS ( ) editor-in-Chief of journal Internet Mathematics; editor of Contributions to Discrete Mathematics Ryerson Fellow at Massey College, UT

35 Drop in office hours Wed Sept 27, 10 – 12 pm ENG ENG 238
Come to say hello, chat, discuss thesis topics Networks - Bonato


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