E. Bertuzzo, R. Casagrandi, M. Gatto, I. Rodriguez-Iturbe & A. Rinaldo (2010):
On spatially explicit models of cholera epidemics.
J. of The Royal Society Interface 7(43),
pp. 321–333,
doi:10.1098/rsif.2009.0204.
U. Brandes & D. Wagner (2004):
Analysis and Visualization of Social Networks.
In: Michael Jünger & Petra Mutzel: Graph Drawing Software,
Mathematics and Visualization.
Springer Berlin Heidelberg,
pp. 321–340,
doi:10.1007/978-3-642-18638-7_15.
P. J. Carrington, J. Scott & S. Wasserman (2005):
Models and Methods in Social Network Analysis.
Structural Analysis in the Social Sciences.
Cambridge University Press,
doi:10.1017/CBO9780511811395.
W. Chen, A. Collins, R. Cummings, T. Ke, Z. Liu, D. Rincón, X. Sun, Y. Wang, W. Wei & Y. Yuan (2011):
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate.
In: 11th SIAM Int. Conf. on Data Mining, SDM,
pp. 379–390,
doi:10.1137/1.9781611972818.33.
W. Chen, C. Wang & Y. Wang (2010):
Scalable Influence Maximization for Prevalent Viral Marketing in Large-scale Social Networks.
In: 16th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining,
KDD '10,
pp. 1029–1038,
doi:10.1145/1835804.1835934.
A. Corradini, U. Montanari, F. Rossi, H. Ehrig, R. Heckel & M. Löwe (1997):
Algebraic Approaches to Graph Transformation - Part I: Basic Concepts and Double Pushout Approach.
In: Handbook of Graph Grammars and Computing by Graph Transformations, Volume 1: Foundations.
World Scientific,
pp. 163–246,
doi:10.1142/9789812384720_0003.
B. Courcelle (1990):
Graph Rewriting: An Algebraic and Logic Approach.
In: J. van Leeuwen: Handbook of Theoretical Computer Science (Vol. B).
MIT Press,
Cambridge, MA, USA,
pp. 193–242.
Available at http://dl.acm.org/citation.cfm?id=114891.114896.
P. S. Dodds & D. J. Watts (2005):
A generalized model of social and biological contagion.
J. of Theoretical Biology 232(4),
pp. 587–604,
doi:10.1016/j.jtbi.2004.09.006.
P. Domingos & M. Richardson (2001):
Mining the Network Value of Customers.
In: 7th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining,
KDD '01,
pp. 57–66,
doi:10.1145/502512.502525.
H. Ehrig, G. Engels, H.-J. Kreowski & G. Rozenberg (1997):
Handbook of Graph Grammars and Computing by Graph Transformations, Volume 2: Applications, Languages, and Tools.
World Scientific.
H. Ehrig, H.-J. Kreowski, U. Montanari & G. Rozenberg (1997):
Handbook of Graph Grammars and Computing by Graph Transformations, Volume 3: Concurrency, Parallelism, and Distribution.
World Scientific.
M. Fernandez, H. Kirchner & B. Pinaud (2014):
Strategic Port Graph Rewriting: An Interactive Modelling and Analysis Framework.
In: Dragan Bošnački, Stefan Edelkamp, Alberto Lluch Lafuente & Anton Wijs: GRAPHITE 2014,
EPTCS 159,
pp. 15–29,
doi:10.4204/EPTCS.159.3.
R. Geiß, G. V. Batz, D. Grund, S. Hack & A. Szalkowski (2006):
GrGen: A Fast SPO-Based Graph Rewriting Tool.
In: A. Corradini, H. Ehrig, U. Montanari, L. Ribeiro & G. Rozenberg: Graph Transformations,
Lecture Notes in Computer Science 4178.
Springer Berlin Heidelberg,
pp. 383–397,
doi:10.1007/11841883_27.
M. Gomez-Rodriguez, J. Leskovec & A. Krause (2010):
Inferring Networks of Diffusion and Influence.
In: 16th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining,
KDD '10,
pp. 1019–1028,
doi:10.1145/1835804.1835933.
A. Goyal, F. Bonchi & L. V. S. Lakshmanan (2010):
Learning Influence Probabilities in Social Networks.
In: 3rd ACM Int. Conf. on Web Search and Data Mining,
WSDM '10,
pp. 241–250,
doi:10.1145/1718487.1718518.
M. Granovetter (1978):
Threshold Models of Collective Behavior.
American J. of Sociology 83(6),
pp. 14–20,
doi:10.1086/226707.
A. Habel, J. Müller & D. Plump (2001):
Double-pushout graph transformation revisited.
Mathematical Structures in Computer Science 11(5),
pp. 637–688,
doi:10.1017/S0960129501003425.
N. Henry, J. D. Fekete & M. J. McGuffin (2007):
NodeTrix: a Hybrid Visualization of Social Networks.
Transactions on Visualization and Computer Graphics, IEEE 13(6),
pp. 1302–1309,
doi:10.1109/TVCG.2007.70582.
H. Hethcote (2000):
The Mathematics of Infectious Diseases.
SIAM Review 42(4),
pp. 599–653,
doi:10.1137/S0036144500371907.
D. A. Keim (2000):
Designing pixel-oriented visualization techniques: theory and applications.
Transactions on Visualization and Computer Graphics, IEEE 6(1),
pp. 59–78,
doi:10.1109/2945.841121.
N. Kejžar, Z. Nikoloski & V. Batagelj (2008):
Probabilistic Inductive Classes of Graphs.
J. of Mathematical Sociology 32(2),
pp. 85–109,
doi:10.1080/00222500801931586.
D. Kempe, J. Kleinberg & É. Tardos (2003):
Maximizing the Spread of Influence Through a Social Network.
In: Proc. of the 9th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining,
KDD '03,
pp. 137–146,
doi:10.1145/956750.956769.
D. Kempe, J. Kleinberg & É. Tardos (2005):
Influential Nodes in a Diffusion Model for Social Networks.
In: Luís Caires, GiuseppeF. Italiano, Luís Monteiro, Catuscia Palamidessi & Moti Yung: Automata, Languages and Programming,
LNCS 3580.
Springer,
pp. 1127–1138,
doi:10.1007/11523468_91.
M. W. Macy (1991):
Chains of Cooperation: Threshold Effects in Collective Action.
American Sociological Review 56(6),
pp. 730–747,
doi:10.2307/2096252.
ISSN: 0003-1224.
M. Newman, A.-L. Barabási & D. J. Watts (2006):
The structure and dynamics of networks.
Princeton Studies in Complexity.
Princeton University Press.
Available at http://books.google.fr/books?id=6LvQIIP0TQ8C.
B. Pinaud, G. Melançon & J. Dubois (2012):
PORGY: A Visual Graph Rewriting Environment for Complex Systems.
Computer Graphics Forum 31(3),
pp. 1265–1274,
doi:10.1111/j.1467-8659.2012.03119.x.
D. Plump (2009):
The Graph Programming Language GP.
In: Symeon Bozapalidis & George Rahonis: Algebraic Informatics,
Lecture Notes in Computer Science 5725.
Springer Berlin Heidelberg,
pp. 99–122,
doi:10.1007/978-3-642-03564-7_6.
A. Rensink (2004):
The GROOVE Simulator: A Tool for State Space Generation.
In: JohnL. Pfaltz, Manfred Nagl & Boris Böhlen: Applications of Graph Transformations with Industrial Relevance,
Lecture Notes in Computer Science 3062.
Springer Berlin Heidelberg,
pp. 479–485,
doi:10.1007/978-3-540-25959-6_40.
G. Rozenberg (1997):
Handbook of Grammars and Computing by Graph Transformation, Volume 1: Foundations.
World Scientific Publishing Company.
S. Rufiange, M. J. McGuffin & C. P. Fuhrman (2012):
TreeMatrix: A Hybrid Visualization of Compound Graphs.
Computer Graphics Forum 31(1),
pp. 89–101,
doi:10.1111/j.1467-8659.2011.02087.x.
A. Schürr, A. J. Winter & A. Zündorf (1999):
The PROGRES Approach: Language and Environment.
In: Hartmut Ehrig, Gregor Engels, Hans-Jörg Kreowski & Grzegorz Rozenberg: Handbook of Graph Grammars and Computing by Graph Transformation.
World Scientific Publishing Co., Inc.,
River Edge, NJ, USA,
pp. 487–550,
doi:10.1142/9789812815149_0013.
L. Wang, F. Du, H. P. Dai & Y. X. Sun (2006):
Random pseudofractal scale-free networks with small-world effect.
The European Physical J. B - Condensed Matter and Complex Systems 53(3),
pp. 361–366,
doi:10.1140/epjb/e2006-00389-0.
M. O. Ward, G. Grinstein & D. A. Keim (2010):
Interactive Data Visualization: Foundations, Techniques, and Applications.
360 Degree Business.
CRC Press.
Available at https://books.google.fr/books?id=Kk7NBQAAQBAJ.
C. Ware (2013):
Information Visualization: Perception for Design.
Information Visualization: Perception for Design.
Morgan Kaufmann.
Available at https://books.google.fr/books?id=qFmS95vf6H8C.
D. J. Watts (2002):
A simple model of global cascades on random networks.
Proc. of the National Academy of Sciences 99(9),
pp. 5766–5771,
doi:10.1073/pnas.082090499.
L. Wonyeol, K. Jinha & Y. Hwanjo (2012):
CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing.
In: Proc. of ICDM,
pp. 960–965,
doi:10.1109/ICDM.2012.40.
eptcs@eptcs.org