graph_names Namespace Reference

Names of all graphs/networks used in Construct's model library More...

Variables
const std::string	active = "agent active time network"
const std::string	current_loc = "agent current location network"
const std::string	group_beliefs = "agent group belief network"
const std::string	group_knowledge = "agent group knowledge network"
const std::string	agent_groups = "agent group membership network"
const std::string	init_count = "agent initiation count network"
const std::string	loc_learning_rate = "agent location learning rate network"
const std::string	loc_preference = "agent location preference network"
const std::string	mail_usage = "agent mail usage by medium network"
const std::string	recep_count = "agent reception count network"
const std::string	agent_trust = "agent trust network"
const std::string	b_k_wgt = "belief knowledge weight network"
const std::string	belief_msg_complex = "belief message complexity network"
const std::string	beliefs = "belief network"
const std::string	b_sim_wgt = "belief similarity weight network"
const std::string	btm = "belief transactive memory network"
const std::string	comm_access = "communication medium access network"
const std::string	comm_pref = "communication medium preferences network"
const std::string	fb_friend = "facebook friend network"
const std::string	emotion_net = "emotion network"
const std::string	emot_broad_bias = "emotion broadcast bias network"
const std::string	emot_broad_first = "emotion broadcast first order network"
const std::string	emot_broad_second = "emotion broadcast second order network"
const std::string	emot_read_first = "emotion reading first order network"
const std::string	emot_read_second = "emotion reading second order network"
const std::string	emot_reg_bias = "emotion regulation bias network"
const std::string	emot_reg_first = "emotion regulation first order network"
const std::string	emot_reg_second = "emotion regulation second order network"
const std::string	interact_k_wgt = "interaction knowledge weight network"
const std::string	interact = "interaction network"
const std::string	interact_prob = "interaction probability network"
const std::string	soi = "interaction sphere network"
const std::string	k_exp_wgt = "knowledge expertise weight network"
const std::string	k_forget_prob = "knowledge forgetting prob network"
const std::string	k_forget_rate = "knowledge forgetting rate network"
const std::string	k_diff = "knowledge learning difficulty network"
const std::string	k_msg_complex = "knowledge message complexity network"
const std::string	knowledge = "knowledge network"
const std::string	k_priority = "knowledge priority network"
const std::string	k_sim_wgt = "knowledge similarity weight network"
const std::string	k_strength = "knowledge strength network"
const std::string	ktm = "knowledge transactive memory network"
const std::string	k_trust = "knowledge trust network"
const std::string	ktrust_resist = "knowledge trust resistance network"
const std::string	learnable_k = "learnable knowledge network"
const std::string	loc_knowledge = "location knowledge network"
const std::string	loc_learning_limit = "location learning limit network"
const std::string	loc_medium_access = "location medium access network"
const std::string	location_network = "location network"
const std::string	mail_check_prob = "mail check probability network"
const std::string	medium_k_access = "medium knowledge access network"
const std::string	kttm = "knowledge trust transactive memory network"
const std::string	phys_prox = "physical proximity network"
const std::string	phys_prox_wgt = "physical proximity weight network"
const std::string	propensity = "public propensity network"
const std::string	subreddit_mem = "subreddit membership network"
const std::string	soc_prox = "social proximity network"
const std::string	soc_prox_wgt = "social proximity weight network"
const std::string	dem_prox = "sociodemographic proximity network"
const std::string	dem_prox_wgt = "sociodemographic proximity weight network"
const std::string	subs = "subscription network"
const std::string	sub_probability = "subscription probability network"
const std::string	target_info = "target information network"
const std::string	task_assignment = "task assignment network"
const std::string	task_availability = "task availability network"
const std::string	task_completion = "task completion network"
const std::string	task_guess_prob = "task guess probability network"
const std::string	task_k_importance = "task knowledge importance network"
const std::string	task_k_req = "task knowledge requirement network"
const std::string	btm_msg_complex = "transactive belief message complexity network"
const std::string	ktm_msg_complex = "transactive knowledge message complexity network"
const std::string	twit_follow = "twitter follower network"
const std::string	unused = "unused knowledge network"
const std::string	banned_user = "banned user network"
const std::string	k_type = "knowledge type network"
const std::string	platform_active = "active agent by platform network"

Detailed Description

Names of all graphs/networks used in Construct's model library