Codes for NIPS'15 paper, COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
To compile run the follwoings:
*g++ -c lib/rng.cpp
*g++ -o coevolution main.cpp rng.o
Then the excutable file "coeovlution" is ready for use.
*** RUN *** To run with complete use the following command: ./coevolution -N 100 -T 150 -sp 0.004 -finSp 0 -ofn trace.txt -cfn cas.txt -mfn model.txt -wl 0 -mu 0.0001 -alpha 0.1 -eta 0.1 -beta 0.1 -rnd 0 -w_phi 1 -w_kap 1
*** INPUT *** The parameters are: N: Number of nodes T: Time limit of the simulation sp: Sparsity of limit of the simulation finSp: Finishing with sparsity limit (finsSp=1) or with time limit (finsSp=0) ofn: Name of output file containing the trace of activities cfn: Name of cascade file containing the statstics of casaces mfn: Name of model file containing the parameters of model and simulation wl: If wl=1 then log file is created. mu: Model parameter for mean of baseline (exogenous) rate for link ceration (c.f. paper) alpha: Model parameter for mean of excitory coefficient (indogenous) for link creation (c.f. paper) eta: Model parameter for mean of baseline (exogenous) rate for retweet (c.f. paper) beta: Model parameter for mean of excitory coefficient (indogenous) for retweet (c.f. paper) rnd: If this is set to 1 then the model parameters are set unformly at random with mean specified as above otherwise they are exactly equal to the value specified w_phi: The decaying kernel coefficient for link creation w_kap: the decaying kernel coefficient for retweet
*** OUTPUT *** Depending on the input specificaiton you will get up to 4 output files. Ouput File (specified by ofn): It contains detailed traces of (link and retweet) events ordered by time of happening. There will be 4 or 5 numbers in each line specified by the following heading: type time src dst parent type: 0 denotes a retweet event and 1 denotes a link event. time: Time of event src: The source node to be retweeted or linked to dst: The node who establishes the link or retweets parent: Exists only for retweet events. It is -1 for the retweets that orginated exgonouesly (actually a tweet) and is set to the number of the event which this tweet is a reshare(retweet) of that one. Cascade File (specified by cfn): It contains the statistics of the cascades. More especially, it contains 3 records of data: Cascade Type: The i-th number in this row contains the number of cascades of type i (Refer to the paper for a specificaton of cascade types) Caccade Depth: The i-th number in this row contains the number of cascades with depth i Cascade Size: The i-th number in this rwo contains the number of cascades of size i (number of nodes in the cascade) Model File (specified by mfn): Contains the parameters of model and simulaiton, T N sp w_phi w_kap as specified above. Also, then in in N lines it has mu,alpha,eta,beta per node. Log File (written when wl=1 and is log.txt): contains a log file of what happens. It will be helpful for develpment.
*** QUESTIONS *** For any question please contact Mehrdad Farajtabar ([email protected])